From fddc15195ed087d32395c726490a6205384dce23 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 15 Sep 2025 18:11:21 -0400
Subject: [PATCH 01/19] chore(deps): bump next from 15.2.4 to 15.5.3 in /ui
 (#392)

Bumps [next](https://github.com/vercel/next.js) from 15.2.4 to 15.5.3.
- [Release notes](https://github.com/vercel/next.js/releases)
- [Changelog](https://github.com/vercel/next.js/blob/canary/release.js)
- [Commits](https://github.com/vercel/next.js/compare/v15.2.4...v15.5.3)
---
updated-dependencies:
- dependency-name: next
  dependency-version: 15.5.3
  dependency-type: direct:production
  update-type: version-update:semver-minor
...
---
 ui/package-lock.json | 369 +++++++++++++++++++++++--------------------
 ui/package.json      |   2 +-
 2 files changed, 202 insertions(+), 169 deletions(-)

diff --git a/ui/package-lock.json b/ui/package-lock.json
index d8f807e8..1261f842 100644
--- a/ui/package-lock.json
+++ b/ui/package-lock.json
@@ -20,7 +20,7 @@
         "clsx": "^2.1.1",
         "idb-keyval": "^6.2.1",
         "lucide-react": "^0.454.0",
-        "next": "15.2.4",
+        "next": "15.5.3",
         "next-themes": "^0.4.4",
         "react": "^19.0.0",
         "react-dom": "^19.0.0",
@@ -60,9 +60,9 @@
       }
     },
     "node_modules/@emnapi/runtime": {
-      "version": "1.3.1",
-      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.3.1.tgz",
-      "integrity": "sha512-kEBmG8KyqtxJZv+ygbEim+KCGtIq1fC22Ms3S4ziXmYKm8uyoLX0MHONVKwp+9opg390VaKRNt4a7A9NwmpNhw==",
+      "version": "1.5.0",
+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.5.0.tgz",
+      "integrity": "sha512-97/BJ3iXHww3djw6hYIfErCZFee7qCtrneuLa20UXFCOTCfBM2cvQHjWJ2EG0s0MtdNwInarqCTz35i4wWXHsQ==",
       "license": "MIT",
       "optional": true,
       "dependencies": {
@@ -218,9 +218,9 @@
       "license": "BSD-3-Clause"
     },
     "node_modules/@img/sharp-darwin-arm64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.33.5.tgz",
-      "integrity": "sha512-UT4p+iz/2H4twwAoLCqfA9UH5pI6DggwKEGuaPy7nCVQ8ZsiY5PIcrRvD1DzuY3qYL07NtIQcWnBSY/heikIFQ==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-arm64/-/sharp-darwin-arm64-0.34.3.tgz",
+      "integrity": "sha512-ryFMfvxxpQRsgZJqBd4wsttYQbCxsJksrv9Lw/v798JcQ8+w84mBWuXwl+TT0WJ/WrYOLaYpwQXi3sA9nTIaIg==",
       "cpu": [
         "arm64"
       ],
@@ -236,13 +236,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-darwin-arm64": "1.0.4"
+        "@img/sharp-libvips-darwin-arm64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-darwin-x64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.33.5.tgz",
-      "integrity": "sha512-fyHac4jIc1ANYGRDxtiqelIbdWkIuQaI84Mv45KvGRRxSAa7o7d1ZKAOBaYbnepLC1WqxfpimdeWfvqqSGwR2Q==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-darwin-x64/-/sharp-darwin-x64-0.34.3.tgz",
+      "integrity": "sha512-yHpJYynROAj12TA6qil58hmPmAwxKKC7reUqtGLzsOHfP7/rniNGTL8tjWX6L3CTV4+5P4ypcS7Pp+7OB+8ihA==",
       "cpu": [
         "x64"
       ],
@@ -258,13 +258,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-darwin-x64": "1.0.4"
+        "@img/sharp-libvips-darwin-x64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-libvips-darwin-arm64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.0.4.tgz",
-      "integrity": "sha512-XblONe153h0O2zuFfTAbQYAX2JhYmDHeWikp1LM9Hul9gVPjFY427k6dFEcOL72O01QxQsWi761svJ/ev9xEDg==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-arm64/-/sharp-libvips-darwin-arm64-1.2.0.tgz",
+      "integrity": "sha512-sBZmpwmxqwlqG9ueWFXtockhsxefaV6O84BMOrhtg/YqbTaRdqDE7hxraVE3y6gVM4eExmfzW4a8el9ArLeEiQ==",
       "cpu": [
         "arm64"
       ],
@@ -278,9 +278,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-darwin-x64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.0.4.tgz",
-      "integrity": "sha512-xnGR8YuZYfJGmWPvmlunFaWJsb9T/AO2ykoP3Fz/0X5XV2aoYBPkX6xqCQvUTKKiLddarLaxpzNe+b1hjeWHAQ==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-darwin-x64/-/sharp-libvips-darwin-x64-1.2.0.tgz",
+      "integrity": "sha512-M64XVuL94OgiNHa5/m2YvEQI5q2cl9d/wk0qFTDVXcYzi43lxuiFTftMR1tOnFQovVXNZJ5TURSDK2pNe9Yzqg==",
       "cpu": [
         "x64"
       ],
@@ -294,9 +294,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-arm": {
-      "version": "1.0.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm/-/sharp-libvips-linux-arm-1.0.5.tgz",
-      "integrity": "sha512-gvcC4ACAOPRNATg/ov8/MnbxFDJqf/pDePbBnuBDcjsI8PssmjoKMAz4LtLaVi+OnSb5FK/yIOamqDwGmXW32g==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm/-/sharp-libvips-linux-arm-1.2.0.tgz",
+      "integrity": "sha512-mWd2uWvDtL/nvIzThLq3fr2nnGfyr/XMXlq8ZJ9WMR6PXijHlC3ksp0IpuhK6bougvQrchUAfzRLnbsen0Cqvw==",
       "cpu": [
         "arm"
       ],
@@ -310,9 +310,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-arm64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.0.4.tgz",
-      "integrity": "sha512-9B+taZ8DlyyqzZQnoeIvDVR/2F4EbMepXMc/NdVbkzsJbzkUjhXv/70GQJ7tdLA4YJgNP25zukcxpX2/SueNrA==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-arm64/-/sharp-libvips-linux-arm64-1.2.0.tgz",
+      "integrity": "sha512-RXwd0CgG+uPRX5YYrkzKyalt2OJYRiJQ8ED/fi1tq9WQW2jsQIn0tqrlR5l5dr/rjqq6AHAxURhj2DVjyQWSOA==",
       "cpu": [
         "arm64"
       ],
@@ -325,10 +325,26 @@
         "url": "https://opencollective.com/libvips"
       }
     },
+    "node_modules/@img/sharp-libvips-linux-ppc64": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-ppc64/-/sharp-libvips-linux-ppc64-1.2.0.tgz",
+      "integrity": "sha512-Xod/7KaDDHkYu2phxxfeEPXfVXFKx70EAFZ0qyUdOjCcxbjqyJOEUpDe6RIyaunGxT34Anf9ue/wuWOqBW2WcQ==",
+      "cpu": [
+        "ppc64"
+      ],
+      "license": "LGPL-3.0-or-later",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      }
+    },
     "node_modules/@img/sharp-libvips-linux-s390x": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-s390x/-/sharp-libvips-linux-s390x-1.0.4.tgz",
-      "integrity": "sha512-u7Wz6ntiSSgGSGcjZ55im6uvTrOxSIS8/dgoVMoiGE9I6JAfU50yH5BoDlYA1tcuGS7g/QNtetJnxA6QEsCVTA==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-s390x/-/sharp-libvips-linux-s390x-1.2.0.tgz",
+      "integrity": "sha512-eMKfzDxLGT8mnmPJTNMcjfO33fLiTDsrMlUVcp6b96ETbnJmd4uvZxVJSKPQfS+odwfVaGifhsB07J1LynFehw==",
       "cpu": [
         "s390x"
       ],
@@ -342,9 +358,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-linux-x64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-x64/-/sharp-libvips-linux-x64-1.0.4.tgz",
-      "integrity": "sha512-MmWmQ3iPFZr0Iev+BAgVMb3ZyC4KeFc3jFxnNbEPas60e1cIfevbtuyf9nDGIzOaW9PdnDciJm+wFFaTlj5xYw==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linux-x64/-/sharp-libvips-linux-x64-1.2.0.tgz",
+      "integrity": "sha512-ZW3FPWIc7K1sH9E3nxIGB3y3dZkpJlMnkk7z5tu1nSkBoCgw2nSRTFHI5pB/3CQaJM0pdzMF3paf9ckKMSE9Tg==",
       "cpu": [
         "x64"
       ],
@@ -358,9 +374,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-linuxmusl-arm64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-arm64/-/sharp-libvips-linuxmusl-arm64-1.0.4.tgz",
-      "integrity": "sha512-9Ti+BbTYDcsbp4wfYib8Ctm1ilkugkA/uscUn6UXK1ldpC1JjiXbLfFZtRlBhjPZ5o1NCLiDbg8fhUPKStHoTA==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-arm64/-/sharp-libvips-linuxmusl-arm64-1.2.0.tgz",
+      "integrity": "sha512-UG+LqQJbf5VJ8NWJ5Z3tdIe/HXjuIdo4JeVNADXBFuG7z9zjoegpzzGIyV5zQKi4zaJjnAd2+g2nna8TZvuW9Q==",
       "cpu": [
         "arm64"
       ],
@@ -374,9 +390,9 @@
       }
     },
     "node_modules/@img/sharp-libvips-linuxmusl-x64": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-x64/-/sharp-libvips-linuxmusl-x64-1.0.4.tgz",
-      "integrity": "sha512-viYN1KX9m+/hGkJtvYYp+CCLgnJXwiQB39damAO7WMdKWlIhmYTfHjwSbQeUK/20vY154mwezd9HflVFM1wVSw==",
+      "version": "1.2.0",
+      "resolved": "https://registry.npmjs.org/@img/sharp-libvips-linuxmusl-x64/-/sharp-libvips-linuxmusl-x64-1.2.0.tgz",
+      "integrity": "sha512-SRYOLR7CXPgNze8akZwjoGBoN1ThNZoqpOgfnOxmWsklTGVfJiGJoC/Lod7aNMGA1jSsKWM1+HRX43OP6p9+6Q==",
       "cpu": [
         "x64"
       ],
@@ -390,9 +406,9 @@
       }
     },
     "node_modules/@img/sharp-linux-arm": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm/-/sharp-linux-arm-0.33.5.tgz",
-      "integrity": "sha512-JTS1eldqZbJxjvKaAkxhZmBqPRGmxgu+qFKSInv8moZ2AmT5Yib3EQ1c6gp493HvrvV8QgdOXdyaIBrhvFhBMQ==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm/-/sharp-linux-arm-0.34.3.tgz",
+      "integrity": "sha512-oBK9l+h6KBN0i3dC8rYntLiVfW8D8wH+NPNT3O/WBHeW0OQWCjfWksLUaPidsrDKpJgXp3G3/hkmhptAW0I3+A==",
       "cpu": [
         "arm"
       ],
@@ -408,13 +424,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-arm": "1.0.5"
+        "@img/sharp-libvips-linux-arm": "1.2.0"
       }
     },
     "node_modules/@img/sharp-linux-arm64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.33.5.tgz",
-      "integrity": "sha512-JMVv+AMRyGOHtO1RFBiJy/MBsgz0x4AWrT6QoEVVTyh1E39TrCUpTRI7mx9VksGX4awWASxqCYLCV4wBZHAYxA==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-arm64/-/sharp-linux-arm64-0.34.3.tgz",
+      "integrity": "sha512-QdrKe3EvQrqwkDrtuTIjI0bu6YEJHTgEeqdzI3uWJOH6G1O8Nl1iEeVYRGdj1h5I21CqxSvQp1Yv7xeU3ZewbA==",
       "cpu": [
         "arm64"
       ],
@@ -430,13 +446,35 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-arm64": "1.0.4"
+        "@img/sharp-libvips-linux-arm64": "1.2.0"
+      }
+    },
+    "node_modules/@img/sharp-linux-ppc64": {
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-ppc64/-/sharp-linux-ppc64-0.34.3.tgz",
+      "integrity": "sha512-GLtbLQMCNC5nxuImPR2+RgrviwKwVql28FWZIW1zWruy6zLgA5/x2ZXk3mxj58X/tszVF69KK0Is83V8YgWhLA==",
+      "cpu": [
+        "ppc64"
+      ],
+      "license": "Apache-2.0",
+      "optional": true,
+      "os": [
+        "linux"
+      ],
+      "engines": {
+        "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
+      },
+      "funding": {
+        "url": "https://opencollective.com/libvips"
+      },
+      "optionalDependencies": {
+        "@img/sharp-libvips-linux-ppc64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-linux-s390x": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-s390x/-/sharp-linux-s390x-0.33.5.tgz",
-      "integrity": "sha512-y/5PCd+mP4CA/sPDKl2961b+C9d+vPAveS33s6Z3zfASk2j5upL6fXVPZi7ztePZ5CuH+1kW8JtvxgbuXHRa4Q==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-s390x/-/sharp-linux-s390x-0.34.3.tgz",
+      "integrity": "sha512-3gahT+A6c4cdc2edhsLHmIOXMb17ltffJlxR0aC2VPZfwKoTGZec6u5GrFgdR7ciJSsHT27BD3TIuGcuRT0KmQ==",
       "cpu": [
         "s390x"
       ],
@@ -452,13 +490,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-s390x": "1.0.4"
+        "@img/sharp-libvips-linux-s390x": "1.2.0"
       }
     },
     "node_modules/@img/sharp-linux-x64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linux-x64/-/sharp-linux-x64-0.33.5.tgz",
-      "integrity": "sha512-opC+Ok5pRNAzuvq1AG0ar+1owsu842/Ab+4qvU879ippJBHvyY5n2mxF1izXqkPYlGuP/M556uh53jRLJmzTWA==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linux-x64/-/sharp-linux-x64-0.34.3.tgz",
+      "integrity": "sha512-8kYso8d806ypnSq3/Ly0QEw90V5ZoHh10yH0HnrzOCr6DKAPI6QVHvwleqMkVQ0m+fc7EH8ah0BB0QPuWY6zJQ==",
       "cpu": [
         "x64"
       ],
@@ -474,13 +512,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linux-x64": "1.0.4"
+        "@img/sharp-libvips-linux-x64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-linuxmusl-arm64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-arm64/-/sharp-linuxmusl-arm64-0.33.5.tgz",
-      "integrity": "sha512-XrHMZwGQGvJg2V/oRSUfSAfjfPxO+4DkiRh6p2AFjLQztWUuY/o8Mq0eMQVIY7HJ1CDQUJlxGGZRw1a5bqmd1g==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-arm64/-/sharp-linuxmusl-arm64-0.34.3.tgz",
+      "integrity": "sha512-vAjbHDlr4izEiXM1OTggpCcPg9tn4YriK5vAjowJsHwdBIdx0fYRsURkxLG2RLm9gyBq66gwtWI8Gx0/ov+JKQ==",
       "cpu": [
         "arm64"
       ],
@@ -496,13 +534,13 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linuxmusl-arm64": "1.0.4"
+        "@img/sharp-libvips-linuxmusl-arm64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-linuxmusl-x64": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-x64/-/sharp-linuxmusl-x64-0.33.5.tgz",
-      "integrity": "sha512-WT+d/cgqKkkKySYmqoZ8y3pxx7lx9vVejxW/W4DOFMYVSkErR+w7mf2u8m/y4+xHe7yY9DAXQMWQhpnMuFfScw==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-linuxmusl-x64/-/sharp-linuxmusl-x64-0.34.3.tgz",
+      "integrity": "sha512-gCWUn9547K5bwvOn9l5XGAEjVTTRji4aPTqLzGXHvIr6bIDZKNTA34seMPgM0WmSf+RYBH411VavCejp3PkOeQ==",
       "cpu": [
         "x64"
       ],
@@ -518,20 +556,20 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-libvips-linuxmusl-x64": "1.0.4"
+        "@img/sharp-libvips-linuxmusl-x64": "1.2.0"
       }
     },
     "node_modules/@img/sharp-wasm32": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/@img/sharp-wasm32/-/sharp-wasm32-0.33.5.tgz",
-      "integrity": "sha512-ykUW4LVGaMcU9lu9thv85CbRMAwfeadCJHRsg2GmeRa/cJxsVY9Rbd57JcMxBkKHag5U/x7TSBpScF4U8ElVzg==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-wasm32/-/sharp-wasm32-0.34.3.tgz",
+      "integrity": "sha512-+CyRcpagHMGteySaWos8IbnXcHgfDn7pO2fiC2slJxvNq9gDipYBN42/RagzctVRKgxATmfqOSulgZv5e1RdMg==",
       "cpu": [
         "wasm32"
       ],
       "license": "Apache-2.0 AND LGPL-3.0-or-later AND MIT",
       "optional": true,
       "dependencies": {
-        "@emnapi/runtime": "^1.2.0"
+        "@emnapi/runtime": "^1.4.4"
       },
       "engines": {
         "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
@@ -540,10 +578,29 @@
         "url": "https://opencollective.com/libvips"
       }
     },
+    "node_modules/@img/sharp-win32-arm64": {
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/@img/sharp-win32-arm64/-/sharp-win32-arm64-0.34.3.tgz",
+      "integrity": "sha512-MjnHPnbqMXNC2UgeLJtX4XqoVHHlZNd+nPt1kRPmj63wURegwBhZlApELdtxM2OIZDRv/DFtLcNhVbd1z8GYXQ==",
+      "cpu": [
+        "arm64"
+      ],
+      "license": "Apache-2.0 AND LGPL-3.0-or-later",
+      "optional": true,
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+        "url": "https://opencollective.com/libvips"
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@@ -733,9 +790,9 @@
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@@ -749,9 +806,9 @@
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@@ -765,9 +822,9 @@
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@@ -781,9 +838,9 @@
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@@ -797,9 +854,9 @@
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@@ -813,9 +870,9 @@
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@@ -829,9 +886,9 @@
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+      "resolved": "https://registry.npmjs.org/@next/swc-win32-arm64-msvc/-/swc-win32-arm64-msvc-15.5.3.tgz",
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@@ -845,9 +902,9 @@
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-      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-15.2.4.tgz",
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+      "resolved": "https://registry.npmjs.org/@next/swc-win32-x64-msvc/-/swc-win32-x64-msvc-15.5.3.tgz",
+      "integrity": "sha512-JMoLAq3n3y5tKXPQwCK5c+6tmwkuFDa2XAxz8Wm4+IVthdBZdZGh+lmiLUHg9f9IDwIQpUjp+ysd6OkYTyZRZw==",
       "cpu": [
         "x64"
       ],
@@ -2117,12 +2174,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/@swc/counter": {
-      "version": "0.1.3",
-      "resolved": "https://registry.npmjs.org/@swc/counter/-/counter-0.1.3.tgz",
-      "integrity": "sha512-e2BR4lsJkkRlKZ/qCHPw9ZaSxc0MVUd7gtbtaB7aMvHeJVYe8sOB8DBZkP2DtISHGSku9sCK6T6cnY0CtXrOCQ==",
-      "license": "Apache-2.0"
-    },
     "node_modules/@swc/helpers": {
       "version": "0.5.15",
       "resolved": "https://registry.npmjs.org/@swc/helpers/-/helpers-0.5.15.tgz",
@@ -2860,17 +2911,6 @@
         "ieee754": "^1.2.1"
       }
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-    "node_modules/busboy": {
-      "version": "1.6.0",
-      "resolved": "https://registry.npmjs.org/busboy/-/busboy-1.6.0.tgz",
-      "integrity": "sha512-8SFQbg/0hQ9xy3UNTB0YEnsNBbWfhf7RtnzpL7TkBiTBRfrQ9Fxcnz7VJsleJpyp6rVLvXiuORqjlHi5q+PYuA==",
-      "dependencies": {
-        "streamsearch": "^1.1.0"
-      },
-      "engines": {
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-      }
-    },
     "node_modules/call-bind": {
       "version": "1.0.8",
       "resolved": "https://registry.npmjs.org/call-bind/-/call-bind-1.0.8.tgz",
@@ -3315,9 +3355,9 @@
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     "node_modules/detect-libc": {
-      "version": "2.0.3",
-      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.3.tgz",
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+      "version": "2.0.4",
+      "resolved": "https://registry.npmjs.org/detect-libc/-/detect-libc-2.0.4.tgz",
+      "integrity": "sha512-3UDv+G9CsCKO1WKMGw9fwq/SWJYbI0c5Y7LU1AXYoDdbhE2AHQ6N6Nb34sG8Fj7T5APy8qXDCKuuIHd1BR0tVA==",
       "license": "Apache-2.0",
       "optional": true,
       "engines": {
@@ -5695,15 +5735,13 @@
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-      "version": "15.2.4",
-      "resolved": "https://registry.npmjs.org/next/-/next-15.2.4.tgz",
-      "integrity": "sha512-VwL+LAaPSxEkd3lU2xWbgEOtrM8oedmyhBqaVNmgKB+GvZlCy9rgaEc+y2on0wv+l0oSFqLtYD6dcC1eAedUaQ==",
+      "version": "15.5.3",
+      "resolved": "https://registry.npmjs.org/next/-/next-15.5.3.tgz",
+      "integrity": "sha512-r/liNAx16SQj4D+XH/oI1dlpv9tdKJ6cONYPwwcCC46f2NjpaRWY+EKCzULfgQYV6YKXjHBchff2IZBSlZmJNw==",
       "license": "MIT",
       "dependencies": {
-        "@next/env": "15.2.4",
-        "@swc/counter": "0.1.3",
+        "@next/env": "15.5.3",
         "@swc/helpers": "0.5.15",
-        "busboy": "1.6.0",
         "caniuse-lite": "^1.0.30001579",
         "postcss": "8.4.31",
         "styled-jsx": "5.1.6"
@@ -5715,19 +5753,19 @@
         "node": "^18.18.0 || ^19.8.0 || >= 20.0.0"
       },
       "optionalDependencies": {
-        "@next/swc-darwin-arm64": "15.2.4",
-        "@next/swc-darwin-x64": "15.2.4",
-        "@next/swc-linux-arm64-gnu": "15.2.4",
-        "@next/swc-linux-arm64-musl": "15.2.4",
-        "@next/swc-linux-x64-gnu": "15.2.4",
-        "@next/swc-linux-x64-musl": "15.2.4",
-        "@next/swc-win32-arm64-msvc": "15.2.4",
-        "@next/swc-win32-x64-msvc": "15.2.4",
-        "sharp": "^0.33.5"
+        "@next/swc-darwin-arm64": "15.5.3",
+        "@next/swc-darwin-x64": "15.5.3",
+        "@next/swc-linux-arm64-gnu": "15.5.3",
+        "@next/swc-linux-arm64-musl": "15.5.3",
+        "@next/swc-linux-x64-gnu": "15.5.3",
+        "@next/swc-linux-x64-musl": "15.5.3",
+        "@next/swc-win32-arm64-msvc": "15.5.3",
+        "@next/swc-win32-x64-msvc": "15.5.3",
+        "sharp": "^0.34.3"
       },
       "peerDependencies": {
         "@opentelemetry/api": "^1.1.0",
-        "@playwright/test": "^1.41.2",
+        "@playwright/test": "^1.51.1",
         "babel-plugin-react-compiler": "*",
         "react": "^18.2.0 || 19.0.0-rc-de68d2f4-20241204 || ^19.0.0",
         "react-dom": "^18.2.0 || 19.0.0-rc-de68d2f4-20241204 || ^19.0.0",
@@ -6758,9 +6796,9 @@
       "license": "MIT"
     },
     "node_modules/semver": {
-      "version": "7.7.1",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.1.tgz",
-      "integrity": "sha512-hlq8tAfn0m/61p4BVRcPzIGr6LKiMwo4VM6dGi6pt4qcRkmNzTcWq6eCEjEh+qXjkMDvPlOFFSGwQjoEa6gyMA==",
+      "version": "7.7.2",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-7.7.2.tgz",
+      "integrity": "sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==",
       "devOptional": true,
       "license": "ISC",
       "bin": {
@@ -6820,16 +6858,16 @@
       }
     },
     "node_modules/sharp": {
-      "version": "0.33.5",
-      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.33.5.tgz",
-      "integrity": "sha512-haPVm1EkS9pgvHrQ/F3Xy+hgcuMV0Wm9vfIBSiwZ05k+xgb0PkBQpGsAA/oWdDobNaZTH5ppvHtzCFbnSEwHVw==",
+      "version": "0.34.3",
+      "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.34.3.tgz",
+      "integrity": "sha512-eX2IQ6nFohW4DbvHIOLRB3MHFpYqaqvXd3Tp5e/T/dSH83fxaNJQRvDMhASmkNTsNTVF2/OOopzRCt7xokgPfg==",
       "hasInstallScript": true,
       "license": "Apache-2.0",
       "optional": true,
       "dependencies": {
         "color": "^4.2.3",
-        "detect-libc": "^2.0.3",
-        "semver": "^7.6.3"
+        "detect-libc": "^2.0.4",
+        "semver": "^7.7.2"
       },
       "engines": {
         "node": "^18.17.0 || ^20.3.0 || >=21.0.0"
@@ -6838,25 +6876,28 @@
         "url": "https://opencollective.com/libvips"
       },
       "optionalDependencies": {
-        "@img/sharp-darwin-arm64": "0.33.5",
-        "@img/sharp-darwin-x64": "0.33.5",
-        "@img/sharp-libvips-darwin-arm64": "1.0.4",
-        "@img/sharp-libvips-darwin-x64": "1.0.4",
-        "@img/sharp-libvips-linux-arm": "1.0.5",
-        "@img/sharp-libvips-linux-arm64": "1.0.4",
-        "@img/sharp-libvips-linux-s390x": "1.0.4",
-        "@img/sharp-libvips-linux-x64": "1.0.4",
-        "@img/sharp-libvips-linuxmusl-arm64": "1.0.4",
-        "@img/sharp-libvips-linuxmusl-x64": "1.0.4",
-        "@img/sharp-linux-arm": "0.33.5",
-        "@img/sharp-linux-arm64": "0.33.5",
-        "@img/sharp-linux-s390x": "0.33.5",
-        "@img/sharp-linux-x64": "0.33.5",
-        "@img/sharp-linuxmusl-arm64": "0.33.5",
-        "@img/sharp-linuxmusl-x64": "0.33.5",
-        "@img/sharp-wasm32": "0.33.5",
-        "@img/sharp-win32-ia32": "0.33.5",
-        "@img/sharp-win32-x64": "0.33.5"
+        "@img/sharp-darwin-arm64": "0.34.3",
+        "@img/sharp-darwin-x64": "0.34.3",
+        "@img/sharp-libvips-darwin-arm64": "1.2.0",
+        "@img/sharp-libvips-darwin-x64": "1.2.0",
+        "@img/sharp-libvips-linux-arm": "1.2.0",
+        "@img/sharp-libvips-linux-arm64": "1.2.0",
+        "@img/sharp-libvips-linux-ppc64": "1.2.0",
+        "@img/sharp-libvips-linux-s390x": "1.2.0",
+        "@img/sharp-libvips-linux-x64": "1.2.0",
+        "@img/sharp-libvips-linuxmusl-arm64": "1.2.0",
+        "@img/sharp-libvips-linuxmusl-x64": "1.2.0",
+        "@img/sharp-linux-arm": "0.34.3",
+        "@img/sharp-linux-arm64": "0.34.3",
+        "@img/sharp-linux-ppc64": "0.34.3",
+        "@img/sharp-linux-s390x": "0.34.3",
+        "@img/sharp-linux-x64": "0.34.3",
+        "@img/sharp-linuxmusl-arm64": "0.34.3",
+        "@img/sharp-linuxmusl-x64": "0.34.3",
+        "@img/sharp-wasm32": "0.34.3",
+        "@img/sharp-win32-arm64": "0.34.3",
+        "@img/sharp-win32-ia32": "0.34.3",
+        "@img/sharp-win32-x64": "0.34.3"
       }
     },
     "node_modules/shebang-command": {
@@ -7034,14 +7075,6 @@
       "dev": true,
       "license": "MIT"
     },
-    "node_modules/streamsearch": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/streamsearch/-/streamsearch-1.1.0.tgz",
-      "integrity": "sha512-Mcc5wHehp9aXz1ax6bZUyY5afg9u2rv5cqQI3mRrYkGC8rW2hM02jWuwjtL++LS5qinSyhj2QfLyNsuc+VsExg==",
-      "engines": {
-        "node": ">=10.0.0"
-      }
-    },
     "node_modules/string-argv": {
       "version": "0.3.2",
       "resolved": "https://registry.npmjs.org/string-argv/-/string-argv-0.3.2.tgz",
diff --git a/ui/package.json b/ui/package.json
index ef3ae437..666c6a5f 100644
--- a/ui/package.json
+++ b/ui/package.json
@@ -24,7 +24,7 @@
     "clsx": "^2.1.1",
     "idb-keyval": "^6.2.1",
     "lucide-react": "^0.454.0",
-    "next": "15.2.4",
+    "next": "15.5.3",
     "next-themes": "^0.4.4",
     "react": "^19.0.0",
     "react-dom": "^19.0.0",

From bc719dc5326e812d75b0b7abd4a8db800a635afa Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Wed, 17 Sep 2025 17:11:16 -0400
Subject: [PATCH 02/19] workflows: fix sample rate in audio transcription
 (#408)

---
 workflows/comfystream/audio-transcription-api.json | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/workflows/comfystream/audio-transcription-api.json b/workflows/comfystream/audio-transcription-api.json
index 3865a6fb..f80b94d7 100644
--- a/workflows/comfystream/audio-transcription-api.json
+++ b/workflows/comfystream/audio-transcription-api.json
@@ -1,7 +1,10 @@
 {
   "10": {
     "inputs": {
-      "sample_rate": 16000,
+      "sample_rate": [
+        "11",
+        1
+      ],
       "transcription_interval": 2,
       "accumulation_duration": 3,
       "whisper_model": "base",

From ad301a4c2efca54c17fb583e063c54f321537a9e Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Fri, 19 Sep 2025 19:09:04 -0400
Subject: [PATCH 03/19] feat(byoc): add trickle to comfystream (#357)

* Add BYOC Server integration to comfystream
* client: add cleanup to set_prompts. clear queues on prompt change
* frame_processor: add optional preprocess to put_audio_frame to fix pipeline compatibility
* Update output type to AUDIO for LoadAudioTensor/PitchShifter/SaveAudioTensor to match LoadAudioTensor
* normalize audio in pitch shifter node
---
 .vscode/launch.json                           |  36 ++-
 nodes/audio_utils/load_audio_tensor.py        |  26 +-
 nodes/audio_utils/pitch_shift.py              |  49 ++-
 nodes/audio_utils/save_audio_tensor.py        |  26 +-
 nodes/tensor_utils/save_text_tensor.py        |   2 +-
 pyproject.toml                                |   1 +
 requirements.txt                              |   1 +
 server/app.py                                 |  14 +-
 server/byoc.py                                | 211 +++++++++++++
 server/frame_processor.py                     | 280 ++++++++++++++++++
 src/comfystream/client.py                     |  24 +-
 src/comfystream/pipeline.py                   |  42 ++-
 src/comfystream/utils.py                      |  86 +++++-
 .../audio-tensor-utils-example-api.json       |  66 ++---
 .../comfystream/audio-transcription-api.json  |   6 +-
 15 files changed, 788 insertions(+), 82 deletions(-)
 create mode 100644 server/byoc.py
 create mode 100644 server/frame_processor.py

diff --git a/.vscode/launch.json b/.vscode/launch.json
index 540197b1..4d442c58 100755
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -31,10 +31,40 @@
                 "--media-ports=5678",
                 "--host=0.0.0.0",
                 "--port=8889",
-                "--log-level=DEBUG",
+                "--log-level=INFO",
+                "--comfyui-inference-log-level=DEBUG",
             ],
-            "python": "/workspace/miniconda3/envs/comfystream/bin/python",
-            "justMyCode": true
+            "justMyCode": true,
+            "python": "${command:python.interpreterPath}"
+        },
+        {
+            "name": "Run ComfyStream BYOC",
+            "type": "debugpy",
+            "request": "launch",
+            "cwd": "/workspace/ComfyUI",
+            "program": "/workspace/comfystream/server/byoc.py",
+            "console": "integratedTerminal",
+            "args": [
+                "--workspace=/workspace/ComfyUI",
+                "--host=0.0.0.0",
+                "--port=8000",
+                "--log-level=INFO",
+                "--comfyui-inference-log-level=DEBUG",
+                "--width=512",
+                "--height=512"
+            ],            
+            "env": {
+                "ORCH_URL": "https://172.17.0.1:9995",
+                "ORCH_SECRET": "orch-secret",
+                "CAPABILITY_NAME": "comfystream-byoc-processor",
+                "CAPABILITY_DESCRIPTION": "ComfyUI streaming processor for BYOC mode",
+                "CAPABILITY_URL": "http://172.17.0.1:8000",
+                "CAPABILITY_PRICE_PER_UNIT": "0",
+                "CAPABILITY_PRICE_SCALING": "1",
+                "CAPABILITY_CAPACITY": "1"
+            },
+            "justMyCode": true,
+            "python": "${command:python.interpreterPath}"
         },
         {
             "name": "Run ComfyStream UI (Node.js)",
diff --git a/nodes/audio_utils/load_audio_tensor.py b/nodes/audio_utils/load_audio_tensor.py
index 52fa6fa3..ece7fca3 100644
--- a/nodes/audio_utils/load_audio_tensor.py
+++ b/nodes/audio_utils/load_audio_tensor.py
@@ -1,11 +1,12 @@
 import numpy as np
+import torch
 
 from comfystream import tensor_cache
 
 class LoadAudioTensor:
     CATEGORY = "audio_utils"
-    RETURN_TYPES = ("WAVEFORM", "INT")
-    RETURN_NAMES = ("audio", "sample_rate")
+    RETURN_TYPES = ("AUDIO",)
+    RETURN_NAMES = ("audio",)
     FUNCTION = "execute"
     
     def __init__(self):
@@ -22,7 +23,7 @@ def INPUT_TYPES(s):
         }
     
     @classmethod
-    def IS_CHANGED():
+    def IS_CHANGED(**kwargs):
         return float("nan")
     
     def execute(self, buffer_size):
@@ -50,4 +51,21 @@ def execute(self, buffer_size):
             buffered_audio = self.leftover[:self.buffer_samples]
             self.leftover = self.leftover[self.buffer_samples:]
                 
-        return buffered_audio, self.sample_rate
+        # Convert numpy array to torch tensor and normalize int16 to float32
+        waveform_tensor = torch.from_numpy(buffered_audio.astype(np.float32) / 32768.0)
+        
+        # Ensure proper tensor shape: (batch, channels, samples)
+        if waveform_tensor.dim() == 1:
+            # Mono: (samples,) -> (1, 1, samples)
+            waveform_tensor = waveform_tensor.unsqueeze(0).unsqueeze(0)
+        elif waveform_tensor.dim() == 2:
+            # Assume (channels, samples) and add batch dimension
+            waveform_tensor = waveform_tensor.unsqueeze(0)
+        
+        # Return AUDIO dictionary format
+        audio_dict = {
+            "waveform": waveform_tensor,
+            "sample_rate": self.sample_rate
+        }
+        
+        return (audio_dict,)
diff --git a/nodes/audio_utils/pitch_shift.py b/nodes/audio_utils/pitch_shift.py
index ed2b2b38..2fba9ee5 100644
--- a/nodes/audio_utils/pitch_shift.py
+++ b/nodes/audio_utils/pitch_shift.py
@@ -1,17 +1,17 @@
 import numpy as np
 import librosa
+import torch
 
 class PitchShifter:
     CATEGORY = "audio_utils"
-    RETURN_TYPES = ("WAVEFORM", "INT")
+    RETURN_TYPES = ("AUDIO",)
     FUNCTION = "execute"
     
     @classmethod
     def INPUT_TYPES(cls):
         return {
             "required": {
-                "audio": ("WAVEFORM",),
-                "sample_rate": ("INT",),
+                "audio": ("AUDIO",),
                 "pitch_shift": ("FLOAT", {
                     "default": 4.0, 
                     "min": 0.0, 
@@ -25,8 +25,41 @@ def INPUT_TYPES(cls):
     def IS_CHANGED(cls):
         return float("nan")
 
-    def execute(self, audio, sample_rate, pitch_shift):
-        audio_float = audio.astype(np.float32) / 32768.0
-        shifted_audio = librosa.effects.pitch_shift(y=audio_float, sr=sample_rate, n_steps=pitch_shift)
-        shifted_int16 = np.clip(shifted_audio * 32768.0, -32768, 32767).astype(np.int16)
-        return shifted_int16, sample_rate
+    def execute(self, audio, pitch_shift):
+        # Extract waveform and sample rate from AUDIO format
+        waveform = audio["waveform"]
+        sample_rate = audio["sample_rate"]
+        
+        # Convert tensor to numpy and ensure proper format for librosa
+        if isinstance(waveform, torch.Tensor):
+            audio_numpy = waveform.squeeze().cpu().numpy()
+        else:
+            audio_numpy = waveform.squeeze()
+        
+        # Ensure float32 format and proper normalization for librosa processing
+        if audio_numpy.dtype != np.float32:
+            audio_numpy = audio_numpy.astype(np.float32)
+        
+        # Check if data needs normalization (librosa expects [-1, 1] range)
+        max_abs_val = np.abs(audio_numpy).max()
+        if max_abs_val > 1.0:
+            # Data appears to be in int16 range, normalize it
+            audio_numpy = audio_numpy / 32768.0
+        
+        # Apply pitch shift
+        shifted_audio = librosa.effects.pitch_shift(y=audio_numpy, sr=sample_rate, n_steps=pitch_shift)
+        
+        # Convert back to tensor and restore original shape
+        shifted_tensor = torch.from_numpy(shifted_audio).float()
+        if waveform.dim() == 3:  # (batch, channels, samples)
+            shifted_tensor = shifted_tensor.unsqueeze(0).unsqueeze(0)
+        elif waveform.dim() == 2:  # (channels, samples) 
+            shifted_tensor = shifted_tensor.unsqueeze(0)
+        
+        # Return AUDIO format
+        result_audio = {
+            "waveform": shifted_tensor,
+            "sample_rate": sample_rate
+        }
+        
+        return (result_audio,)
diff --git a/nodes/audio_utils/save_audio_tensor.py b/nodes/audio_utils/save_audio_tensor.py
index 6f86b57c..6b7b0281 100644
--- a/nodes/audio_utils/save_audio_tensor.py
+++ b/nodes/audio_utils/save_audio_tensor.py
@@ -1,3 +1,4 @@
+import numpy as np
 from comfystream import tensor_cache
 
 class SaveAudioTensor:
@@ -11,7 +12,7 @@ class SaveAudioTensor:
     def INPUT_TYPES(s):
         return {
             "required": {
-                "audio": ("WAVEFORM",)
+                "audio": ("AUDIO",)
             }
         }
 
@@ -20,5 +21,26 @@ def IS_CHANGED(s):
         return float("nan")
 
     def execute(self, audio):
-        tensor_cache.audio_outputs.put_nowait(audio)
+        # Extract waveform tensor from AUDIO format
+        waveform = audio["waveform"]
+        
+        # Convert to numpy and flatten for pipeline compatibility
+        if hasattr(waveform, 'cpu'):
+            # PyTorch tensor
+            waveform_numpy = waveform.squeeze().cpu().numpy()
+        else:
+            # Already numpy
+            waveform_numpy = waveform.squeeze()
+        
+        # Ensure 1D array for pipeline buffer concatenation
+        if waveform_numpy.ndim > 1:
+            waveform_numpy = waveform_numpy.flatten()
+        
+        # Convert to int16 if needed (pipeline expects int16)
+        if waveform_numpy.dtype == np.float32:
+            waveform_numpy = (waveform_numpy * 32767).astype(np.int16)
+        elif waveform_numpy.dtype != np.int16:
+            waveform_numpy = waveform_numpy.astype(np.int16)
+        
+        tensor_cache.audio_outputs.put_nowait(waveform_numpy)
         return (audio,)
diff --git a/nodes/tensor_utils/save_text_tensor.py b/nodes/tensor_utils/save_text_tensor.py
index 525f2a1b..098887e0 100644
--- a/nodes/tensor_utils/save_text_tensor.py
+++ b/nodes/tensor_utils/save_text_tensor.py
@@ -18,7 +18,7 @@ def INPUT_TYPES(s):
         }
 
     @classmethod
-    def IS_CHANGED(s):
+    def IS_CHANGED(s, **kwargs):
         return float("nan")
 
     def execute(self, data, remove_linebreaks=True):
diff --git a/pyproject.toml b/pyproject.toml
index 8cc48645..50e59935 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,6 +9,7 @@ version = "0.1.5"
 license = { file = "LICENSE" }
 dependencies = [
     "asyncio",
+    "pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6",
     "comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@58622c7e91cb5cc2bca985d713db55e5681ff316",
     "aiortc",
     "aiohttp",
diff --git a/requirements.txt b/requirements.txt
index 7ff3310b..790900bb 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,4 +1,5 @@
 asyncio
+pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6
 comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@58622c7e91cb5cc2bca985d713db55e5681ff316
 aiortc
 aiohttp
diff --git a/server/app.py b/server/app.py
index ecf5751f..a3a42fc4 100644
--- a/server/app.py
+++ b/server/app.py
@@ -40,6 +40,7 @@
 
 MAX_BITRATE = 2000000
 MIN_BITRATE = 2000000
+TEXT_POLL_INTERVAL = 0.25  # Interval in seconds to poll for text outputs
 
 
 class VideoStreamTrack(MediaStreamTrack):
@@ -390,11 +391,11 @@ async def forward_text():
                         try:
                             while channel.readyState == "open":
                                 try:
-                                    # Use timeout to prevent indefinite blocking
-                                    text = await asyncio.wait_for(
-                                        pipeline.get_text_output(), 
-                                        timeout=1.0  # Check every second if channel is still open
-                                    )
+                                    # Non-blocking poll; sleep if no text to avoid tight loop
+                                    text = await pipeline.get_text_output()
+                                    if text is None or text.strip() == "":
+                                        await asyncio.sleep(TEXT_POLL_INTERVAL)
+                                        continue
                                     if channel.readyState == "open":
                                         # Send as JSON string for extensibility
                                         try:
@@ -402,9 +403,6 @@ async def forward_text():
                                         except Exception as e:
                                             logger.debug(f"[TextChannel] Send failed, stopping forwarder: {e}")
                                             break
-                                except asyncio.TimeoutError:
-                                    # No text available, continue checking
-                                    continue
                                 except asyncio.CancelledError:
                                     logger.debug("[TextChannel] Forward text task cancelled")
                                     break
diff --git a/server/byoc.py b/server/byoc.py
new file mode 100644
index 00000000..0735674b
--- /dev/null
+++ b/server/byoc.py
@@ -0,0 +1,211 @@
+import argparse
+import asyncio
+import logging
+import os
+import sys
+
+import torch
+# Initialize CUDA before any other imports to prevent core dump.
+if torch.cuda.is_available():
+    torch.cuda.init()
+
+from aiohttp import web
+from pytrickle.stream_processor import StreamProcessor
+from pytrickle.utils.register import RegisterCapability
+from pytrickle.frame_skipper import FrameSkipConfig
+from frame_processor import ComfyStreamFrameProcessor
+
+logger = logging.getLogger(__name__)
+
+
+async def register_orchestrator(orch_url=None, orch_secret=None, capability_name=None, host="127.0.0.1", port=8889):
+    """Register capability with orchestrator if configured."""
+    try:
+        orch_url = orch_url or os.getenv("ORCH_URL")
+        orch_secret = orch_secret or os.getenv("ORCH_SECRET")
+        
+        if orch_url and orch_secret:
+            os.environ.update({
+                "CAPABILITY_NAME": capability_name or os.getenv("CAPABILITY_NAME") or "comfystream-processor",
+                "CAPABILITY_DESCRIPTION": "ComfyUI streaming processor",
+                "CAPABILITY_URL": f"http://{host}:{port}",
+                "CAPABILITY_CAPACITY": "1",
+                "ORCH_URL": orch_url,
+                "ORCH_SECRET": orch_secret
+            })
+            
+            # Pass through explicit capability_name to ensure CLI/env override takes effect
+            result = await RegisterCapability.register(
+                logger=logger,
+                capability_name=capability_name
+            )
+            if result:
+                logger.info(f"Registered capability: {result.geturl()}")
+    except Exception as e:
+        logger.error(f"Orchestrator registration failed: {e}")
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Run comfystream server in BYOC (Bring Your Own Compute) mode using pytrickle."
+    )
+    parser.add_argument("--port", default=8889, help="Set the server port")
+    parser.add_argument("--host", default="127.0.0.1", help="Set the host")
+    parser.add_argument(
+        "--workspace", default=None, required=True, help="Set Comfy workspace"
+    )
+    parser.add_argument(
+        "--log-level",
+        default="INFO",
+        choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"],
+        help="Set the logging level",
+    )
+    parser.add_argument(
+        "--comfyui-log-level",
+        default=None,
+        choices=logging._nameToLevel.keys(),
+        help="Set the global logging level for ComfyUI",
+    )
+    parser.add_argument(
+        "--comfyui-inference-log-level",
+        default=None,
+        choices=logging._nameToLevel.keys(),
+        help="Set the logging level for ComfyUI inference",
+    )
+    parser.add_argument(
+        "--orch-url",
+        default=None,
+        help="Orchestrator URL for capability registration",
+    )
+    parser.add_argument(
+        "--orch-secret",
+        default=None,
+        help="Orchestrator secret for capability registration",
+    )
+    parser.add_argument(
+        "--capability-name",
+        default=None,
+        help="Name for this capability (default: comfystream-processor)",
+    )
+    parser.add_argument(
+        "--disable-frame-skip",
+        default=False,
+        action="store_true",
+        help="Disable adaptive frame skipping based on queue sizes (enabled by default)",
+    )
+    parser.add_argument(
+        "--width",
+        default=512,
+        type=int,
+        help="Default video width for processing",
+    )
+    parser.add_argument(
+        "--height",
+        default=512,
+        type=int,
+        help="Default video height for processing",
+    )
+    args = parser.parse_args()
+
+    logging.basicConfig(
+        level=args.log_level.upper(),
+        format="%(asctime)s [%(levelname)s] %(message)s",
+        datefmt="%H:%M:%S",
+    )
+
+    # Allow overriding of ComfyUI log levels.
+    if args.comfyui_log_level:
+        log_level = logging._nameToLevel.get(args.comfyui_log_level.upper())
+        logging.getLogger("comfy").setLevel(log_level)
+
+    def force_print(*args, **kwargs):
+        print(*args, **kwargs, flush=True)
+        sys.stdout.flush()
+
+    logger.info("Starting ComfyStream BYOC server with pytrickle StreamProcessor...")
+    
+    # Create frame processor with configuration
+    frame_processor = ComfyStreamFrameProcessor(
+        width=args.width,
+        height=args.height,
+        workspace=args.workspace,
+        disable_cuda_malloc=True,
+        gpu_only=True,
+        preview_method='none',
+        comfyui_inference_log_level=args.comfyui_inference_log_level
+    )
+    
+    # Create frame skip configuration only if enabled
+    frame_skip_config = None
+    if args.disable_frame_skip:
+        logger.info("Frame skipping disabled")
+    else:
+        frame_skip_config = FrameSkipConfig()
+        logger.info("Frame skipping enabled: adaptive skipping based on queue sizes")
+    
+    # Create StreamProcessor with frame processor
+    processor = StreamProcessor(
+        video_processor=frame_processor.process_video_async,
+        audio_processor=frame_processor.process_audio_async,
+        model_loader=frame_processor.load_model,
+        param_updater=frame_processor.update_params,
+        on_stream_stop=frame_processor.on_stream_stop,
+        # Align processor name with capability for consistent logs
+        name=(args.capability_name or os.getenv("CAPABILITY_NAME") or "comfystream-processor"),
+        port=int(args.port),
+        host=args.host,
+        frame_skip_config=frame_skip_config,
+        # Ensure server metadata reflects the desired capability name
+        capability_name=(args.capability_name or os.getenv("CAPABILITY_NAME") or "comfystream-processor")
+    )
+
+    # Set the stream processor reference for text data publishing
+    frame_processor.set_stream_processor(processor)
+    
+    # Create async startup function to load model
+    async def load_model_on_startup(app):
+        await processor._frame_processor.load_model()
+    
+    # Create async startup function for orchestrator registration
+    async def register_orchestrator_startup(app):
+        await register_orchestrator(
+            orch_url=args.orch_url,
+            orch_secret=args.orch_secret,
+            capability_name=args.capability_name,
+            host=args.host,
+            port=args.port
+        )
+    
+    # Add model loading and registration to startup hooks
+    processor.server.app.on_startup.append(load_model_on_startup)
+    processor.server.app.on_startup.append(register_orchestrator_startup)
+
+    # Add warmup endpoint: accepts same body as prompts update
+    async def warmup_handler(request):
+        try:
+            body = await request.json()
+        except Exception as e:
+            logger.error(f"Invalid JSON in warmup request: {e}")
+            return web.json_response({"error": "Invalid JSON"}, status=400)
+        try:
+            # Inject sentinel to trigger warmup inside update_params on the model thread
+            if isinstance(body, dict):
+                body["warmup"] = True
+            else:
+                body = {"warmup": True}
+            # Fire-and-forget: do not await warmup; update_params will schedule it
+            asyncio.get_running_loop().create_task(frame_processor.update_params(body))
+            return web.json_response({"status": "accepted"})
+        except Exception as e:
+            logger.error(f"Warmup failed: {e}")
+            return web.json_response({"error": str(e)}, status=500)
+
+    # Mount at same API namespace as StreamProcessor defaults
+    processor.server.add_route("POST", "/api/stream/warmup", warmup_handler)
+    
+    # Run the processor
+    processor.run()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/server/frame_processor.py b/server/frame_processor.py
new file mode 100644
index 00000000..bac139d4
--- /dev/null
+++ b/server/frame_processor.py
@@ -0,0 +1,280 @@
+import asyncio
+import json
+import logging
+import os
+from typing import List
+
+import numpy as np
+from pytrickle.frame_processor import FrameProcessor
+from pytrickle.frames import VideoFrame, AudioFrame
+from comfystream.pipeline import Pipeline
+from comfystream.utils import convert_prompt, ComfyStreamParamsUpdateRequest
+
+logger = logging.getLogger(__name__)
+
+
+class ComfyStreamFrameProcessor(FrameProcessor):
+    """
+    Integrated ComfyStream FrameProcessor for pytrickle.
+    
+    This class wraps the ComfyStream Pipeline to work with pytrickle's streaming architecture.
+    """
+
+    def __init__(self, text_poll_interval: float = 0.25, **load_params):
+        """Initialize with load parameters for pipeline creation.
+        
+        Args:
+            text_poll_interval: Interval in seconds to poll for text outputs (default: 0.25)
+            **load_params: Parameters for pipeline creation
+        """
+        self.pipeline = None
+        self._load_params = load_params
+        self._text_poll_interval = text_poll_interval
+        self._stream_processor = None
+        self._warmup_task = None
+        self._text_forward_task = None
+        self._background_tasks = []
+        self._stop_event = asyncio.Event()
+        super().__init__()
+
+    def set_stream_processor(self, stream_processor):
+        """Set reference to StreamProcessor for data publishing."""
+        self._stream_processor = stream_processor
+        logger.info("StreamProcessor reference set for text data publishing")
+    
+    def _setup_text_monitoring(self):
+        """Set up background text forwarding from the pipeline."""
+        try:
+            if self.pipeline and self._stream_processor:
+                # Reset stop event for new stream
+                self._reset_stop_event()
+                # Start forwarder only if workflow has text outputs (best-effort)
+                should_start = True
+                try:
+                    should_start = bool(self.pipeline.produces_text_output())
+                except Exception:
+                    # If capability check fails, default to starting forwarder
+                    should_start = True
+
+                if should_start:
+                    # Start a background task that forwards text outputs via StreamProcessor
+                    if self._text_forward_task and not self._text_forward_task.done():
+                        logger.debug("Text forwarder already running; not starting another")
+                        return
+
+                    async def _forward_text_loop():
+                        try:
+                            logger.info("Starting background text forwarder task")
+                            while not self._stop_event.is_set():
+                                try:
+                                    # Non-blocking poll; sleep if no text to avoid tight loop
+                                    text = await self.pipeline.get_text_output()
+                                    if text is None or text.strip() == "":
+                                        await asyncio.sleep(self._text_poll_interval)
+                                        continue
+                                    if self._stream_processor:
+                                        success = await self._stream_processor.send_data(text)
+                                        if not success:
+                                            logger.debug("Text send failed; stopping text forwarder")
+                                            break
+                                except asyncio.CancelledError:
+                                    logger.debug("Text forwarder task cancelled")
+                                    raise
+                        except asyncio.CancelledError:
+                            # Propagate to finally for cleanup
+                            raise
+                        except Exception as e:
+                            logger.error(f"Error in text forwarder: {e}")
+                        finally:
+                            logger.info("Text forwarder task exiting")
+
+                    self._text_forward_task = asyncio.create_task(_forward_text_loop())
+                    self._background_tasks.append(self._text_forward_task)
+        except Exception:
+            logger.warning("Failed to set up text monitoring", exc_info=True)
+
+    async def _stop_text_forwarder(self) -> None:
+        """Stop the background text forwarder task if running."""
+        task = self._text_forward_task
+        if task and not task.done():
+            try:
+                task.cancel()
+                await task
+            except asyncio.CancelledError:
+                pass
+            except Exception:
+                logger.debug("Error while awaiting text forwarder cancellation", exc_info=True)
+        self._text_forward_task = None
+    
+    async def on_stream_stop(self):
+        """Called when stream stops - cleanup background tasks."""
+        logger.info("Stream stopped, cleaning up background tasks")
+
+        # Set stop event to signal all background tasks to stop
+        self._stop_event.set()
+
+        # Stop text forwarder
+        await self._stop_text_forwarder()
+
+        # Cancel any other background tasks started by this processor
+        for task in list(self._background_tasks):
+            try:
+                if task and not task.done():
+                    task.cancel()
+            except Exception:
+                continue
+
+        # Await task cancellations
+        for task in list(self._background_tasks):
+            if task:
+                try:
+                    await task
+                except asyncio.CancelledError:
+                    pass
+                except Exception:
+                    logger.debug("Background task raised during shutdown", exc_info=True)
+
+        self._background_tasks.clear()
+        logger.info("All background tasks cleaned up")
+    
+    def _reset_stop_event(self):
+        """Reset the stop event for a new stream."""
+        self._stop_event.clear()
+
+    async def load_model(self, **kwargs):
+        """Load model and initialize the pipeline."""
+        params = {**self._load_params, **kwargs}
+        
+        if self.pipeline is None:
+            self.pipeline = Pipeline(
+                width=int(params.get('width', 512)),
+                height=int(params.get('height', 512)),
+                cwd=params.get('workspace', os.getcwd()),
+                disable_cuda_malloc=params.get('disable_cuda_malloc', True),
+                gpu_only=params.get('gpu_only', True),
+                preview_method=params.get('preview_method', 'none'),
+                comfyui_inference_log_level=params.get('comfyui_inference_log_level'),
+            )
+
+    async def warmup(self):
+        """Public warmup method that triggers pipeline warmup."""
+        if not self.pipeline:
+            logger.warning("Warmup requested before pipeline initialization")
+            return
+        
+        logger.info("Running pipeline warmup...")
+        """Run pipeline warmup."""
+        try:
+            capabilities = self.pipeline.get_workflow_io_capabilities()
+            logger.info(f"Detected I/O capabilities for warmup: {capabilities}")
+            
+            # Warm video if there are video inputs or outputs
+            if capabilities.get("video", {}).get("input") or capabilities.get("video", {}).get("output"):
+                logger.info("Running video warmup...")
+                await self.pipeline.warm_video()
+                logger.info("Video warmup completed")
+            
+            # Warm audio if there are audio inputs or outputs  
+            if capabilities.get("audio", {}).get("input") or capabilities.get("audio", {}).get("output"):
+                logger.info("Running audio warmup...")
+                await self.pipeline.warm_audio()
+                logger.info("Audio warmup completed")
+                
+        except Exception as e:
+            logger.error(f"Warmup failed: {e}")
+
+    def _schedule_warmup(self) -> None:
+        """Schedule warmup in background if not already running."""
+        try:
+            if self._warmup_task and not self._warmup_task.done():
+                logger.info("Warmup already in progress, skipping new warmup request")
+                return
+
+            self._warmup_task = asyncio.create_task(self.warmup())
+            logger.info("Warmup scheduled in background")
+        except Exception:
+            logger.warning("Failed to schedule warmup", exc_info=True)
+
+    async def process_video_async(self, frame: VideoFrame) -> VideoFrame:
+        """Process video frame through ComfyStream Pipeline."""
+        try:
+            
+            # Convert pytrickle VideoFrame to av.VideoFrame
+            av_frame = frame.to_av_frame(frame.tensor)
+            av_frame.pts = frame.timestamp
+            av_frame.time_base = frame.time_base
+            
+            # Process through pipeline
+            await self.pipeline.put_video_frame(av_frame)
+            processed_av_frame = await self.pipeline.get_processed_video_frame()
+            
+            # Convert back to pytrickle VideoFrame
+            processed_frame = VideoFrame.from_av_frame_with_timing(processed_av_frame, frame)
+            return processed_frame
+            
+        except Exception as e:
+            logger.error(f"Video processing failed: {e}")
+            return frame
+
+    async def process_audio_async(self, frame: AudioFrame) -> List[AudioFrame]:
+        """Process audio frame through ComfyStream Pipeline or passthrough."""
+        try:
+            if not self.pipeline:
+                return [frame]
+            
+            # Audio processing needed - use pipeline
+            av_frame = frame.to_av_frame()
+            await self.pipeline.put_audio_frame(av_frame)
+            processed_av_frame = await self.pipeline.get_processed_audio_frame()
+            processed_frame = AudioFrame.from_av_audio(processed_av_frame)
+            return [processed_frame]
+        
+        except Exception as e:
+            logger.error(f"Audio processing failed: {e}")
+            return [frame]
+
+    async def update_params(self, params: dict):
+        """Update processing parameters."""
+        if not self.pipeline:
+            return
+    
+        # Handle list input - take first element
+        if isinstance(params, list) and params:
+            params = params[0]
+        
+        # Validate parameters using the centralized validation
+        validated = ComfyStreamParamsUpdateRequest(**params).model_dump()
+        logger.info(f"Parameter validation successful, keys: {list(validated.keys())}")
+        
+        # Process prompts if provided
+        if "prompts" in validated and validated["prompts"]:
+            await self._process_prompts(validated["prompts"])
+        
+        # Update pipeline dimensions
+        if "width" in validated:
+            self.pipeline.width = int(validated["width"])
+        if "height" in validated:
+            self.pipeline.height = int(validated["height"])
+        
+        # Schedule warmup if requested
+        if validated.get("warmup", False):
+            self._schedule_warmup()
+            
+
+    async def _process_prompts(self, prompts):
+        """Process and set prompts in the pipeline."""
+        try:
+            converted = convert_prompt(prompts, return_dict=True)
+            
+            # Set prompts in pipeline
+            await self.pipeline.set_prompts([converted])
+            logger.info(f"Prompts set successfully: {list(prompts.keys())}")
+            
+            # Update text monitoring based on workflow capabilities
+            if self.pipeline.produces_text_output():
+                self._setup_text_monitoring()
+            else:
+                await self._stop_text_forwarder()
+                
+        except Exception as e:
+            logger.error(f"Failed to process prompts: {e}")
diff --git a/src/comfystream/client.py b/src/comfystream/client.py
index 5c440894..b5c7dca7 100644
--- a/src/comfystream/client.py
+++ b/src/comfystream/client.py
@@ -23,10 +23,24 @@ def __init__(self, max_workers: int = 1, **kwargs):
         self._stop_event = asyncio.Event()
 
     async def set_prompts(self, prompts: List[PromptDictInput]):
+        """Set new prompts, replacing any existing ones.
+        
+        Args:
+            prompts: List of prompt dictionaries to set
+            
+        Raises:
+            ValueError: If prompts list is empty
+            Exception: If prompt conversion or validation fails
+        """
+        if not prompts:
+            raise ValueError("Cannot set empty prompts list")
+            
+        # Cancel existing prompts first to avoid conflicts
         await self.cancel_running_prompts()
         # Reset stop event for new prompts
         self._stop_event.clear()
         self.current_prompts = [convert_prompt(prompt) for prompt in prompts]
+        logger.info(f"Queuing {len(self.current_prompts)} prompt(s) for execution")
         for idx in range(len(self.current_prompts)):
             task = asyncio.create_task(self.run_prompt(idx))
             self.running_prompts[idx] = task
@@ -117,7 +131,15 @@ async def get_audio_output(self):
         return await tensor_cache.audio_outputs.get()
     
     async def get_text_output(self):
-        return await tensor_cache.text_outputs.get()
+        try:
+            return tensor_cache.text_outputs.get_nowait()
+        except asyncio.QueueEmpty:
+            # Expected case - queue is empty, no text available
+            return None
+        except Exception as e:
+            # Unexpected errors logged for debugging
+            logger.warning(f"Unexpected error in get_text_output: {e}")
+            return None
 
     async def get_available_nodes(self):
         """Get metadata and available nodes info in a single pass"""
diff --git a/src/comfystream/pipeline.py b/src/comfystream/pipeline.py
index d7c47443..3e4febaf 100644
--- a/src/comfystream/pipeline.py
+++ b/src/comfystream/pipeline.py
@@ -79,7 +79,7 @@ async def warm_audio(self):
             return
             
         dummy_frame = av.AudioFrame()
-        dummy_frame.side_data.input = np.random.randint(-32768, 32767, int(48000 * 0.5), dtype=np.int16)   # TODO: adds a lot of delay if it doesn't match the buffer size, is warmup needed?
+        dummy_frame.side_data.input = np.random.randint(-32768, 32768, int(48000 * 0.5), dtype=np.int16)
         dummy_frame.sample_rate = 48000
 
         for _ in range(WARMUP_RUNS):
@@ -144,7 +144,7 @@ async def put_video_frame(self, frame: av.VideoFrame):
         self.client.put_video_input(frame)
         await self.video_incoming_frames.put(frame)
 
-    async def put_audio_frame(self, frame: av.AudioFrame):
+    async def put_audio_frame(self, frame: av.AudioFrame, preprocess: bool = True):
         """Queue an audio frame for processing.
         
         Args:
@@ -159,14 +159,14 @@ async def put_audio_frame(self, frame: av.AudioFrame):
             return
 
         # Process and send to client when input is accepted
-        frame.side_data.input = self.audio_preprocess(frame)
+        frame.side_data.input = self.audio_preprocess(frame) if preprocess else frame.to_ndarray()
         frame.side_data.skipped = True
         # Mark passthrough based on whether workflow produces audio output
         frame.side_data.passthrough = not self.produces_audio_output()
         self.client.put_audio_input(frame)
         await self.audio_incoming_frames.put(frame)
 
-    def video_preprocess(self, frame: av.VideoFrame) -> Union[torch.Tensor, np.ndarray]:
+    def video_preprocess(self, frame: av.VideoFrame) -> torch.Tensor:
         """Preprocess a video frame before processing.
         
         Args:
@@ -178,16 +178,39 @@ def video_preprocess(self, frame: av.VideoFrame) -> Union[torch.Tensor, np.ndarr
         frame_np = frame.to_ndarray(format="rgb24").astype(np.float32) / 255.0
         return torch.from_numpy(frame_np).unsqueeze(0)
     
-    def audio_preprocess(self, frame: av.AudioFrame) -> Union[torch.Tensor, np.ndarray]:
+    def audio_preprocess(self, frame: av.AudioFrame) -> np.ndarray:
         """Preprocess an audio frame before processing.
         
         Args:
             frame: The audio frame to preprocess
             
         Returns:
-            The preprocessed frame as a tensor or numpy array
+            The preprocessed frame as a numpy array with int16 dtype
         """
-        return frame.to_ndarray().ravel().reshape(-1, 2).mean(axis=1).astype(np.int16)
+        audio_data = frame.to_ndarray()
+        
+        # Handle multi-dimensional audio data
+        if audio_data.ndim == 2 and audio_data.shape[0] == 1 and audio_data.shape[0] <= audio_data.shape[1]:
+            audio_data = audio_data.ravel().reshape(-1, 2).mean(axis=1)
+        elif audio_data.ndim > 1:
+            audio_data = audio_data.mean(axis=0)
+        
+        # Ensure we always return int16 data
+        if audio_data.dtype in [np.float32, np.float64]:
+            # Check if data is normalized (-1.0 to 1.0 range)
+            max_abs_val = np.abs(audio_data).max()
+            if max_abs_val <= 1.0:
+                # Normalized float input - scale to int16 range
+                audio_data = np.clip(audio_data, -1.0, 1.0)
+                audio_data = (audio_data * 32767).astype(np.int16)
+            else:
+                # Large float values - clip and convert directly
+                audio_data = np.clip(audio_data, -32768, 32767).astype(np.int16)
+        else:
+            # Already integer data - ensure it's int16
+            audio_data = audio_data.astype(np.int16)
+        
+        return audio_data
     
     def video_postprocess(self, output: Union[torch.Tensor, np.ndarray]) -> av.VideoFrame:
         """Postprocess a video frame after processing.
@@ -280,7 +303,7 @@ async def get_processed_audio_frame(self) -> av.AudioFrame:
         
         return processed_frame
     
-    async def get_text_output(self) -> str:
+    async def get_text_output(self) -> str | None:
         """Get the next text output from the pipeline.
         
         Returns:
@@ -288,10 +311,11 @@ async def get_text_output(self) -> str:
         """
         # If workflow doesn't produce text output, return empty string immediately
         if not self.produces_text_output():
-            return ""
+            return None
             
         async with temporary_log_level("comfy", self._comfyui_inference_log_level):
             out_text = await self.client.get_text_output()
+            
         return out_text
     
     async def get_nodes_info(self) -> Dict[str, Any]:
diff --git a/src/comfystream/utils.py b/src/comfystream/utils.py
index e26b963d..7d8800c4 100644
--- a/src/comfystream/utils.py
+++ b/src/comfystream/utils.py
@@ -1,6 +1,10 @@
 import copy
+import json
+import os
+import logging
 import importlib
-from typing import Dict, Any
+from typing import Dict, Any, List, Tuple, Optional, Union
+from pytrickle.api import StreamParamsUpdateRequest
 from comfy.api.components.schema.prompt import Prompt, PromptDictInput
 from .modalities import (
     get_node_counts_by_type,
@@ -38,7 +42,7 @@ def _validate_prompt_constraints(counts: Dict[str, int]) -> None:
     if counts["outputs"] == 0:
         raise Exception("missing output")
 
-def convert_prompt(prompt: PromptDictInput) -> Prompt:
+def convert_prompt(prompt: PromptDictInput, return_dict: bool = False) -> Prompt:
     """Convert a prompt by replacing specific node types with tensor equivalents."""
     try:
         # Note: lazy import is necessary to prevent KeyError during validation
@@ -46,7 +50,7 @@ def convert_prompt(prompt: PromptDictInput) -> Prompt:
     except Exception:
         pass
     
-    # Validate the schema
+    """Convert and validate a ComfyUI workflow prompt."""
     Prompt.validate(prompt)
     prompt = copy.deepcopy(prompt)
 
@@ -70,6 +74,76 @@ def convert_prompt(prompt: PromptDictInput) -> Prompt:
         node = prompt[key]
         prompt[key] = create_save_tensor_node(node["inputs"])
 
-    # Validate the processed prompt
-    prompt = Prompt.validate(prompt)
-    return prompt
+    # Return dict if requested (for downstream components that expect plain dicts)
+    if return_dict:
+        return prompt  # Already a plain dict at this point
+    
+    # Validate the processed prompt and return Pydantic object
+    return Prompt.validate(prompt)
+
+class ComfyStreamParamsUpdateRequest(StreamParamsUpdateRequest):
+    """ComfyStream parameter validation."""
+    
+    def __init__(self, **data):
+        # Handle prompts parameter
+        if "prompts" in data:
+            prompts = data["prompts"]
+            
+            # Parse JSON string if needed
+            if isinstance(prompts, str) and prompts.strip():
+                try:
+                    prompts = json.loads(prompts)
+                except json.JSONDecodeError:
+                    data.pop("prompts")
+            
+            # Handle list - use first valid dict
+            elif isinstance(prompts, list):
+                prompts = next((p for p in prompts if isinstance(p, dict)), None)
+                if not prompts:
+                    data.pop("prompts")
+            
+            # Validate prompts
+            if "prompts" in data and isinstance(prompts, dict):
+                try:
+                    data["prompts"] = convert_prompt(prompts, return_dict=True)
+                except Exception:
+                    data.pop("prompts")
+        
+        # Call parent constructor
+        super().__init__(**data)
+    
+    @classmethod
+    def model_validate(cls, obj):
+        return cls(**obj)
+    
+    def model_dump(self):
+        return super().model_dump()
+
+def get_default_workflow() -> dict:
+    """Return the default workflow as a dictionary for warmup.
+    
+    Returns:
+        dict: Default workflow dictionary
+    """
+    return {
+        "1": {
+            "inputs": {
+                "images": [
+                    "2",
+                    0
+                ]
+            },
+            "class_type": "SaveTensor",
+            "_meta": {
+                "title": "SaveTensor"
+            }
+        },
+        "2": {
+            "inputs": {},
+            "class_type": "LoadTensor",
+            "_meta": {
+                "title": "LoadTensor"
+            }
+        }
+    }
+
diff --git a/workflows/comfystream/audio-tensor-utils-example-api.json b/workflows/comfystream/audio-tensor-utils-example-api.json
index 37609fe9..4d2e6c88 100644
--- a/workflows/comfystream/audio-tensor-utils-example-api.json
+++ b/workflows/comfystream/audio-tensor-utils-example-api.json
@@ -1,40 +1,36 @@
 {
-    "1": {
-      "inputs": {
-        "buffer_size": 500.0
-      },
-      "class_type": "LoadAudioTensor",
-      "_meta": {
-        "title": "Load Audio Tensor"
-      }
+  "1": {
+    "inputs": {
+      "buffer_size": 500.0
     },
-    "2": {
-      "inputs": {
-        "audio": [
-          "1",
-          0
-        ],
-        "sample_rate": [
-          "1",
-          1
-        ],
-        "pitch_shift": 4.0
-      },
-      "class_type": "PitchShifter",
-      "_meta": {
-        "title": "Pitch Shift"
-      }
+    "class_type": "LoadAudioTensor",
+    "_meta": {
+      "title": "Load Audio Tensor"
+    }
+  },
+  "2": {
+    "inputs": {
+      "pitch_shift": 4,
+      "audio": [
+        "1",
+        0
+      ]
+    },
+    "class_type": "PitchShifter",
+    "_meta": {
+      "title": "Pitch Shift"
+    }
+  },
+  "3": {
+    "inputs": {
+      "audio": [
+        "2",
+        0
+      ]
     },
-    "3": {
-      "inputs": {
-        "audio": [
-          "2",
-          0
-        ]
-      },
-      "class_type": "SaveAudioTensor",
-      "_meta": {
-        "title": "Save Audio Tensor"
-      }
+    "class_type": "SaveAudioTensor",
+    "_meta": {
+      "title": "Save Audio Tensor"
     }
+  }
 }
\ No newline at end of file
diff --git a/workflows/comfystream/audio-transcription-api.json b/workflows/comfystream/audio-transcription-api.json
index f80b94d7..57458d4b 100644
--- a/workflows/comfystream/audio-transcription-api.json
+++ b/workflows/comfystream/audio-transcription-api.json
@@ -1,10 +1,6 @@
 {
   "10": {
     "inputs": {
-      "sample_rate": [
-        "11",
-        1
-      ],
       "transcription_interval": 2,
       "accumulation_duration": 3,
       "whisper_model": "base",
@@ -46,7 +42,7 @@
       "title": "SRT Generator"
     }
   },
-  "13": {
+  "26": {
     "inputs": {
       "data": [
         "12",

From 914fd8584f73a1d9e6d0d65bdae548d57c18e0a0 Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Tue, 23 Sep 2025 11:42:38 -0400
Subject: [PATCH 04/19] refactor(workflows): remove ai-runner workflow trigger
 from docker.yaml (#414)

---
 .github/workflows/docker.yaml | 22 ----------------------
 1 file changed, 22 deletions(-)

diff --git a/.github/workflows/docker.yaml b/.github/workflows/docker.yaml
index 608a0edc..68f37474 100644
--- a/.github/workflows/docker.yaml
+++ b/.github/workflows/docker.yaml
@@ -83,28 +83,6 @@ jobs:
           cache-from: type=registry,ref=livepeer/comfyui-base:build-cache
           cache-to: type=registry,mode=max,ref=livepeer/comfyui-base:build-cache
 
-  trigger:
-    name: Trigger ai-runner workflow
-    needs: base
-    if: ${{ github.repository == 'livepeer/comfystream' }}
-    runs-on: ubuntu-latest
-    steps:
-      - name: Send workflow dispatch event to ai-runner
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.CI_GITHUB_TOKEN }}
-          script: |
-            await github.rest.actions.createWorkflowDispatch({
-              owner: context.repo.owner,
-              repo: "ai-runner",
-              workflow_id: "comfyui-trigger.yaml",
-              ref: "main",
-              inputs: {
-                "comfyui-base-digest": "${{ needs.base.outputs.image-digest }}",
-                "triggering-branch": "${{ github.head_ref || github.ref_name }}",
-              },
-            });
-
   comfystream:
     name: comfystream image
     needs: base

From 4f486957feea087ecc0652d93fcaccd9d4782e3e Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Tue, 23 Sep 2025 16:42:32 -0400
Subject: [PATCH 05/19] fix(nodes): add input timeout to LoadTensor and
 LoadAudioTensor nodes (#423)

* nodes(video): add input timeout to LoadTensor and SaveTensor nodes
---
 nodes/audio_utils/load_audio_tensor.py   | 79 ++++++++++++++----------
 nodes/tensor_utils/load_tensor.py        | 33 +++++++---
 server/app.py                            |  6 +-
 server/byoc.py                           |  5 ++
 server/frame_processor.py                | 13 +---
 src/comfystream/__init__.py              |  5 +-
 src/comfystream/client.py                |  6 +-
 src/comfystream/exceptions.py            | 20 ++++++
 src/comfystream/server/utils/__init__.py |  2 +-
 src/comfystream/server/utils/utils.py    | 39 ++++++++++++
 src/comfystream/utils.py                 |  1 +
 11 files changed, 156 insertions(+), 53 deletions(-)
 create mode 100644 src/comfystream/exceptions.py

diff --git a/nodes/audio_utils/load_audio_tensor.py b/nodes/audio_utils/load_audio_tensor.py
index ece7fca3..eed09eea 100644
--- a/nodes/audio_utils/load_audio_tensor.py
+++ b/nodes/audio_utils/load_audio_tensor.py
@@ -1,71 +1,88 @@
 import numpy as np
 import torch
-
+import queue
 from comfystream import tensor_cache
+from comfystream.exceptions import ComfyStreamInputTimeoutError, ComfyStreamAudioBufferError
+
 
 class LoadAudioTensor:
-    CATEGORY = "audio_utils"
+    CATEGORY = "ComfyStream/Loaders"
     RETURN_TYPES = ("AUDIO",)
     RETURN_NAMES = ("audio",)
     FUNCTION = "execute"
+    DESCRIPTION = "Load audio tensor from ComfyStream input with timeout."
     
     def __init__(self):
         self.audio_buffer = np.empty(0, dtype=np.int16)
         self.buffer_samples = None
         self.sample_rate = None
+        self.leftover = np.empty(0, dtype=np.int16)
     
     @classmethod
-    def INPUT_TYPES(s):
+    def INPUT_TYPES(cls):
         return {
             "required": {
-                "buffer_size": ("FLOAT", {"default": 500.0}),
+                "buffer_size": ("FLOAT", {
+                    "default": 500.0,
+                    "tooltip": "Audio buffer size in milliseconds"
+                }),
+            },
+            "optional": {
+                "timeout_seconds": ("FLOAT", {
+                    "default": 1.0, 
+                    "min": 0.1, 
+                    "max": 30.0, 
+                    "step": 0.1,
+                    "tooltip": "Timeout in seconds"
+                }),
             }
         }
     
     @classmethod
-    def IS_CHANGED(**kwargs):
+    def IS_CHANGED(cls, **kwargs):
         return float("nan")
-    
-    def execute(self, buffer_size):
+
+    def execute(self, buffer_size: float, timeout_seconds: float = 1.0):
+        # Initialize if needed
         if self.sample_rate is None or self.buffer_samples is None:
-            frame = tensor_cache.audio_inputs.get(block=True)
-            self.sample_rate = frame.sample_rate
-            self.buffer_samples = int(self.sample_rate * buffer_size / 1000)
-            self.leftover = frame.side_data.input
+            try:
+                frame = tensor_cache.audio_inputs.get(block=True, timeout=timeout_seconds)
+                self.sample_rate = frame.sample_rate
+                self.buffer_samples = int(self.sample_rate * buffer_size / 1000)
+                self.leftover = frame.side_data.input
+            except queue.Empty:
+                raise ComfyStreamInputTimeoutError("audio", timeout_seconds)
         
-        if self.leftover.shape[0] < self.buffer_samples:
+        # Use leftover data if available
+        if self.leftover.shape[0] >= self.buffer_samples:
+            buffered_audio = self.leftover[:self.buffer_samples]
+            self.leftover = self.leftover[self.buffer_samples:]
+        else:
+            # Collect more audio chunks
             chunks = [self.leftover] if self.leftover.size > 0 else []
             total_samples = self.leftover.shape[0]
             
             while total_samples < self.buffer_samples:
-                frame = tensor_cache.audio_inputs.get(block=True)
-                if frame.sample_rate != self.sample_rate:
-                    raise ValueError("Sample rate mismatch")
-                chunks.append(frame.side_data.input)
-                total_samples += frame.side_data.input.shape[0]
+                try:
+                    frame = tensor_cache.audio_inputs.get(block=True, timeout=timeout_seconds)
+                    if frame.sample_rate != self.sample_rate:
+                        raise ValueError(f"Sample rate mismatch: expected {self.sample_rate}Hz, got {frame.sample_rate}Hz")
+                    chunks.append(frame.side_data.input)
+                    total_samples += frame.side_data.input.shape[0]
+                except queue.Empty:
+                    raise ComfyStreamAudioBufferError(timeout_seconds, self.buffer_samples, total_samples)
             
             merged_audio = np.concatenate(chunks, dtype=np.int16)
             buffered_audio = merged_audio[:self.buffer_samples]
-            self.leftover = merged_audio[self.buffer_samples:]
-        else:
-            buffered_audio = self.leftover[:self.buffer_samples]
-            self.leftover = self.leftover[self.buffer_samples:]
+            self.leftover = merged_audio[self.buffer_samples:] if merged_audio.shape[0] > self.buffer_samples else np.empty(0, dtype=np.int16)
                 
-        # Convert numpy array to torch tensor and normalize int16 to float32
+        # Convert to ComfyUI AUDIO format
         waveform_tensor = torch.from_numpy(buffered_audio.astype(np.float32) / 32768.0)
         
         # Ensure proper tensor shape: (batch, channels, samples)
         if waveform_tensor.dim() == 1:
-            # Mono: (samples,) -> (1, 1, samples)
             waveform_tensor = waveform_tensor.unsqueeze(0).unsqueeze(0)
         elif waveform_tensor.dim() == 2:
-            # Assume (channels, samples) and add batch dimension
             waveform_tensor = waveform_tensor.unsqueeze(0)
         
-        # Return AUDIO dictionary format
-        audio_dict = {
-            "waveform": waveform_tensor,
-            "sample_rate": self.sample_rate
-        }
-        
-        return (audio_dict,)
+        return ({"waveform": waveform_tensor, "sample_rate": self.sample_rate},)
\ No newline at end of file
diff --git a/nodes/tensor_utils/load_tensor.py b/nodes/tensor_utils/load_tensor.py
index c39fe8a1..9923a996 100644
--- a/nodes/tensor_utils/load_tensor.py
+++ b/nodes/tensor_utils/load_tensor.py
@@ -1,20 +1,37 @@
+import torch
+import queue
 from comfystream import tensor_cache
+from comfystream.exceptions import ComfyStreamInputTimeoutError
 
 
 class LoadTensor:
-    CATEGORY = "tensor_utils"
+    CATEGORY = "ComfyStream/Loaders"
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "execute"
+    DESCRIPTION = "Load image tensor from ComfyStream input with timeout."
 
     @classmethod
-    def INPUT_TYPES(s):
-        return {}
+    def INPUT_TYPES(cls):
+        return {
+            "optional": {
+                "timeout_seconds": ("FLOAT", {
+                    "default": 1.0, 
+                    "min": 0.1, 
+                    "max": 30.0,
+                    "step": 0.1,
+                    "tooltip": "Timeout in seconds"
+                }),
+            }
+        }
 
     @classmethod
-    def IS_CHANGED():
+    def IS_CHANGED(cls, **kwargs):
         return float("nan")
 
-    def execute(self):
-        frame = tensor_cache.image_inputs.get(block=True)
-        frame.side_data.skipped = False
-        return (frame.side_data.input,)
+    def execute(self, timeout_seconds: float = 1.0):
+        try:
+            frame = tensor_cache.image_inputs.get(block=True, timeout=timeout_seconds)
+            frame.side_data.skipped = False
+            return (frame.side_data.input,)
+        except queue.Empty:
+            raise ComfyStreamInputTimeoutError("video", timeout_seconds)
diff --git a/server/app.py b/server/app.py
index a3a42fc4..c0706569 100644
--- a/server/app.py
+++ b/server/app.py
@@ -29,7 +29,7 @@
 from aiortc.rtcrtpsender import RTCRtpSender
 from comfystream.pipeline import Pipeline
 from twilio.rest import Client
-from comfystream.server.utils import patch_loop_datagram, add_prefix_to_app_routes, FPSMeter
+from comfystream.server.utils import patch_loop_datagram, add_prefix_to_app_routes, FPSMeter, ComfyStreamTimeoutFilter
 from comfystream.server.metrics import MetricsManager, StreamStatsManager
 import time
 
@@ -694,6 +694,10 @@ def force_print(*args, **kwargs):
     if args.comfyui_log_level:
         log_level = logging._nameToLevel.get(args.comfyui_log_level.upper())
         logging.getLogger("comfy").setLevel(log_level)
+    
+    # Add ComfyStream timeout filter to suppress verbose execution logging
+    logging.getLogger("comfy.cmd.execution").addFilter(ComfyStreamTimeoutFilter())
+    logging.getLogger("comfy").addFilter(ComfyStreamTimeoutFilter())
     if args.comfyui_inference_log_level:
         app["comfui_inference_log_level"] = args.comfyui_inference_log_level
 
diff --git a/server/byoc.py b/server/byoc.py
index 0735674b..19a166be 100644
--- a/server/byoc.py
+++ b/server/byoc.py
@@ -14,6 +14,7 @@
 from pytrickle.utils.register import RegisterCapability
 from pytrickle.frame_skipper import FrameSkipConfig
 from frame_processor import ComfyStreamFrameProcessor
+from comfystream.server.utils import ComfyStreamTimeoutFilter
 
 logger = logging.getLogger(__name__)
 
@@ -117,6 +118,10 @@ def main():
     if args.comfyui_log_level:
         log_level = logging._nameToLevel.get(args.comfyui_log_level.upper())
         logging.getLogger("comfy").setLevel(log_level)
+    
+    # Add ComfyStream timeout filter to suppress verbose execution logging
+    logging.getLogger("comfy.cmd.execution").addFilter(ComfyStreamTimeoutFilter())
+    logging.getLogger("comfy").addFilter(ComfyStreamTimeoutFilter())
 
     def force_print(*args, **kwargs):
         print(*args, **kwargs, flush=True)
diff --git a/server/frame_processor.py b/server/frame_processor.py
index bac139d4..6cc79a71 100644
--- a/server/frame_processor.py
+++ b/server/frame_processor.py
@@ -157,28 +157,21 @@ async def load_model(self, **kwargs):
             )
 
     async def warmup(self):
-        """Public warmup method that triggers pipeline warmup."""
+        """Warm up the pipeline."""
         if not self.pipeline:
             logger.warning("Warmup requested before pipeline initialization")
             return
         
         logger.info("Running pipeline warmup...")
-        """Run pipeline warmup."""
         try:
             capabilities = self.pipeline.get_workflow_io_capabilities()
-            logger.info(f"Detected I/O capabilities for warmup: {capabilities}")
+            logger.info(f"Detected I/O capabilities: {capabilities}")
             
-            # Warm video if there are video inputs or outputs
             if capabilities.get("video", {}).get("input") or capabilities.get("video", {}).get("output"):
-                logger.info("Running video warmup...")
                 await self.pipeline.warm_video()
-                logger.info("Video warmup completed")
             
-            # Warm audio if there are audio inputs or outputs  
             if capabilities.get("audio", {}).get("input") or capabilities.get("audio", {}).get("output"):
-                logger.info("Running audio warmup...")
                 await self.pipeline.warm_audio()
-                logger.info("Audio warmup completed")
                 
         except Exception as e:
             logger.error(f"Warmup failed: {e}")
@@ -265,7 +258,7 @@ async def _process_prompts(self, prompts):
         """Process and set prompts in the pipeline."""
         try:
             converted = convert_prompt(prompts, return_dict=True)
-            
+                 
             # Set prompts in pipeline
             await self.pipeline.set_prompts([converted])
             logger.info(f"Prompts set successfully: {list(prompts.keys())}")
diff --git a/src/comfystream/__init__.py b/src/comfystream/__init__.py
index b58bf2e4..8aee624c 100644
--- a/src/comfystream/__init__.py
+++ b/src/comfystream/__init__.py
@@ -3,6 +3,7 @@
 from .server.utils import temporary_log_level
 from .server.utils import FPSMeter
 from .server.metrics import MetricsManager, StreamStatsManager
+from .exceptions import ComfyStreamInputTimeoutError, ComfyStreamAudioBufferError
 
 __all__ = [
     'ComfyStreamClient',
@@ -10,5 +11,7 @@
     'temporary_log_level',
     'FPSMeter',
     'MetricsManager',
-    'StreamStatsManager'
+    'StreamStatsManager',
+    'ComfyStreamInputTimeoutError',
+    'ComfyStreamAudioBufferError'
 ]
diff --git a/src/comfystream/client.py b/src/comfystream/client.py
index b5c7dca7..291ecdda 100644
--- a/src/comfystream/client.py
+++ b/src/comfystream/client.py
@@ -4,6 +4,7 @@
 
 from comfystream import tensor_cache
 from comfystream.utils import convert_prompt
+from comfystream.exceptions import ComfyStreamInputTimeoutError
 
 from comfy.api.components.schema.prompt import PromptDictInput
 from comfy.cli_args_types import Configuration
@@ -68,6 +69,9 @@ async def run_prompt(self, prompt_index: int):
                     await self.comfy_client.queue_prompt(self.current_prompts[prompt_index])
                 except asyncio.CancelledError:
                     raise
+                except ComfyStreamInputTimeoutError:
+                    # Timeout errors are expected during stream switching - just continue
+                    continue
                 except Exception as e:
                     await self.cleanup()
                     logger.error(f"Error running prompt: {str(e)}")
@@ -265,4 +269,4 @@ async def get_available_nodes(self):
 
         except Exception as e:
             logger.error(f"Error getting node info: {str(e)}")
-            return {}
+            return {}
\ No newline at end of file
diff --git a/src/comfystream/exceptions.py b/src/comfystream/exceptions.py
new file mode 100644
index 00000000..8382a4c3
--- /dev/null
+++ b/src/comfystream/exceptions.py
@@ -0,0 +1,20 @@
+"""ComfyStream specific exceptions."""
+
+
+class ComfyStreamInputTimeoutError(Exception):
+    """Raised when input tensors are not available within timeout."""
+    
+    def __init__(self, input_type: str, timeout_seconds: float):
+        self.input_type = input_type
+        self.timeout_seconds = timeout_seconds
+        message = f"No {input_type} frames available after {timeout_seconds}s timeout"
+        super().__init__(message)
+
+
+class ComfyStreamAudioBufferError(ComfyStreamInputTimeoutError):
+    """Audio buffer insufficient data error."""
+    
+    def __init__(self, timeout_seconds: float, needed_samples: int, available_samples: int):
+        self.needed_samples = needed_samples
+        self.available_samples = available_samples
+        super().__init__("audio", timeout_seconds)
diff --git a/src/comfystream/server/utils/__init__.py b/src/comfystream/server/utils/__init__.py
index daa71bb1..31a55908 100644
--- a/src/comfystream/server/utils/__init__.py
+++ b/src/comfystream/server/utils/__init__.py
@@ -1,2 +1,2 @@
-from .utils import patch_loop_datagram, add_prefix_to_app_routes, temporary_log_level
+from .utils import patch_loop_datagram, add_prefix_to_app_routes, temporary_log_level, ComfyStreamTimeoutFilter
 from .fps_meter import FPSMeter
diff --git a/src/comfystream/server/utils/utils.py b/src/comfystream/server/utils/utils.py
index c7a7ac30..974aa74a 100644
--- a/src/comfystream/server/utils/utils.py
+++ b/src/comfystream/server/utils/utils.py
@@ -83,3 +83,42 @@ async def temporary_log_level(logger_name: str, level: int):
     finally:
         if level is not None:
             logger.setLevel(original_level)
+
+
+class ComfyStreamTimeoutFilter(logging.Filter):
+    """Filter to suppress verbose ComfyUI execution logs for ComfyStream timeout exceptions."""
+    
+    def filter(self, record):
+        """Filter out ComfyUI execution error logs for ComfyStream timeout exceptions."""
+        # Only filter ERROR level messages from ComfyUI execution system
+        if record.levelno != logging.ERROR:
+            return True
+            
+        # Check if this is from ComfyUI execution system
+        if not (record.name.startswith("comfy") and ("execution" in record.name or record.name == "comfy")):
+            return True
+            
+        # Get the full message including any exception info
+        message = record.getMessage()
+        
+        # Check if this is a ComfyStream timeout-related error
+        timeout_indicators = [
+            "ComfyStreamInputTimeoutError",
+            "ComfyStreamAudioBufferError", 
+            "No video frames available",
+            "No audio frames available"
+        ]
+        
+        # Suppress if any timeout indicator is found in the message
+        for indicator in timeout_indicators:
+            if indicator in message:
+                return False
+                
+        # Also check the exception info if present
+        if record.exc_info and record.exc_info[1]:
+            exc_str = str(record.exc_info[1])
+            for indicator in timeout_indicators:
+                if indicator in exc_str:
+                    return False
+                    
+        return True
diff --git a/src/comfystream/utils.py b/src/comfystream/utils.py
index 7d8800c4..c2cecd05 100644
--- a/src/comfystream/utils.py
+++ b/src/comfystream/utils.py
@@ -73,6 +73,7 @@ def convert_prompt(prompt: PromptDictInput, return_dict: bool = False) -> Prompt
     for key in convertible_keys["PreviewImage"] + convertible_keys["SaveImage"]:
         node = prompt[key]
         prompt[key] = create_save_tensor_node(node["inputs"])
+    
 
     # Return dict if requested (for downstream components that expect plain dicts)
     if return_dict:

From bcebd510e2d8bcf147f4d4d7b36408f7b32f61eb Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Thu, 25 Sep 2025 15:23:29 -0400
Subject: [PATCH 06/19] cleanup(nodes): Improve input exception logging (#427)

* refactor(exceptions): improve timeout error logging for ComfyStreamAudioBufferError, ComfyStreamInputTimeoutError
---
 server/app.py                            |   4 +-
 server/byoc.py                           |   3 +-
 server/frame_processor.py                |   8 ++
 src/comfystream/client.py                |   1 +
 src/comfystream/exceptions.py            | 113 ++++++++++++++++++++++-
 src/comfystream/server/utils/__init__.py |   2 +-
 src/comfystream/server/utils/utils.py    |  38 --------
 7 files changed, 123 insertions(+), 46 deletions(-)

diff --git a/server/app.py b/server/app.py
index c0706569..028f12bb 100644
--- a/server/app.py
+++ b/server/app.py
@@ -29,7 +29,8 @@
 from aiortc.rtcrtpsender import RTCRtpSender
 from comfystream.pipeline import Pipeline
 from twilio.rest import Client
-from comfystream.server.utils import patch_loop_datagram, add_prefix_to_app_routes, FPSMeter, ComfyStreamTimeoutFilter
+from comfystream.server.utils import patch_loop_datagram, add_prefix_to_app_routes, FPSMeter
+from comfystream.exceptions import ComfyStreamTimeoutFilter
 from comfystream.server.metrics import MetricsManager, StreamStatsManager
 import time
 
@@ -697,7 +698,6 @@ def force_print(*args, **kwargs):
     
     # Add ComfyStream timeout filter to suppress verbose execution logging
     logging.getLogger("comfy.cmd.execution").addFilter(ComfyStreamTimeoutFilter())
-    logging.getLogger("comfy").addFilter(ComfyStreamTimeoutFilter())
     if args.comfyui_inference_log_level:
         app["comfui_inference_log_level"] = args.comfyui_inference_log_level
 
diff --git a/server/byoc.py b/server/byoc.py
index 19a166be..89566748 100644
--- a/server/byoc.py
+++ b/server/byoc.py
@@ -14,7 +14,7 @@
 from pytrickle.utils.register import RegisterCapability
 from pytrickle.frame_skipper import FrameSkipConfig
 from frame_processor import ComfyStreamFrameProcessor
-from comfystream.server.utils import ComfyStreamTimeoutFilter
+from comfystream.exceptions import ComfyStreamTimeoutFilter
 
 logger = logging.getLogger(__name__)
 
@@ -121,7 +121,6 @@ def main():
     
     # Add ComfyStream timeout filter to suppress verbose execution logging
     logging.getLogger("comfy.cmd.execution").addFilter(ComfyStreamTimeoutFilter())
-    logging.getLogger("comfy").addFilter(ComfyStreamTimeoutFilter())
 
     def force_print(*args, **kwargs):
         print(*args, **kwargs, flush=True)
diff --git a/server/frame_processor.py b/server/frame_processor.py
index 6cc79a71..65d1c0ac 100644
--- a/server/frame_processor.py
+++ b/server/frame_processor.py
@@ -113,6 +113,14 @@ async def on_stream_stop(self):
         # Set stop event to signal all background tasks to stop
         self._stop_event.set()
 
+        # Stop the ComfyStream client's prompt execution
+        if self.pipeline and self.pipeline.client:
+            logger.info("Stopping ComfyStream client prompt execution")
+            try:
+                await self.pipeline.client.cleanup()
+            except Exception as e:
+                logger.error(f"Error stopping ComfyStream client: {e}")
+
         # Stop text forwarder
         await self._stop_text_forwarder()
 
diff --git a/src/comfystream/client.py b/src/comfystream/client.py
index 291ecdda..7686fca1 100644
--- a/src/comfystream/client.py
+++ b/src/comfystream/client.py
@@ -71,6 +71,7 @@ async def run_prompt(self, prompt_index: int):
                     raise
                 except ComfyStreamInputTimeoutError:
                     # Timeout errors are expected during stream switching - just continue
+                    logger.info(f"Input for prompt {prompt_index} timed out, continuing")
                     continue
                 except Exception as e:
                     await self.cleanup()
diff --git a/src/comfystream/exceptions.py b/src/comfystream/exceptions.py
index 8382a4c3..aaf20c84 100644
--- a/src/comfystream/exceptions.py
+++ b/src/comfystream/exceptions.py
@@ -1,20 +1,127 @@
 """ComfyStream specific exceptions."""
 
+import logging
+from typing import Dict, Any, Optional
+
+
+def log_comfystream_error(
+    exception: Exception,
+    logger: Optional[logging.Logger] = None,
+    level: int = logging.ERROR
+) -> None:
+    """
+    Centralized logging function for ComfyStream exceptions.
+    
+    Args:
+        exception: The exception to log
+        logger: Optional logger to use (defaults to module logger)
+        level: Log level (defaults to ERROR)
+    """
+    if logger is None:
+        logger = logging.getLogger(__name__)
+    
+    # If it's a ComfyStream timeout error with structured details, use its logging method
+    if isinstance(exception, ComfyStreamInputTimeoutError):
+        exception.log_error(logger)
+    else:
+        # For other exceptions, provide basic logging
+        logger.log(level, f"ComfyStream error: {type(exception).__name__}: {str(exception)}")
+
 
 class ComfyStreamInputTimeoutError(Exception):
     """Raised when input tensors are not available within timeout."""
     
-    def __init__(self, input_type: str, timeout_seconds: float):
+    def __init__(
+        self,
+        input_type: str,
+        timeout_seconds: float,
+        details: Optional[Dict[str, Any]] = None
+    ):
         self.input_type = input_type
         self.timeout_seconds = timeout_seconds
+        self.details = details or {}
         message = f"No {input_type} frames available after {timeout_seconds}s timeout"
         super().__init__(message)
+    
+    def get_log_details(self) -> Dict[str, Any]:
+        """Get structured details for logging."""
+        base_details = {
+            "input_type": self.input_type,
+            "timeout_seconds": self.timeout_seconds
+        }
+        base_details.update(self.details)
+        return base_details
+    
+    def log_error(self, logger: Optional[logging.Logger] = None) -> None:
+        """Log the error with detailed information."""
+        if logger is None:
+            logger = logging.getLogger(__name__)
+        
+        details = self.get_log_details()
+        detail_str = ", ".join(f"{k}={v}" for k, v in details.items())
+        logger.error(f"ComfyStream timeout error: {str(self)} | Details: {detail_str}")
 
 
 class ComfyStreamAudioBufferError(ComfyStreamInputTimeoutError):
     """Audio buffer insufficient data error."""
     
-    def __init__(self, timeout_seconds: float, needed_samples: int, available_samples: int):
+    def __init__(
+        self,
+        timeout_seconds: float,
+        needed_samples: int,
+        available_samples: int
+    ):
         self.needed_samples = needed_samples
         self.available_samples = available_samples
-        super().__init__("audio", timeout_seconds)
+        
+        # Pass audio-specific details to the base class
+        audio_details = {
+            "needed_samples": needed_samples,
+            "available_samples": available_samples,
+        }
+        super().__init__("audio", timeout_seconds, details=audio_details)
+    
+    def get_log_details(self) -> Dict[str, Any]:
+        """Get structured details for logging, with audio-specific formatting."""
+        details = super().get_log_details()
+        return details
+
+
+class ComfyStreamTimeoutFilter(logging.Filter):
+    """Filter to suppress verbose ComfyUI execution logs for ComfyStream timeout exceptions."""
+    
+    def filter(self, record):
+        """Filter out ComfyUI execution error logs for ComfyStream timeout exceptions."""
+        try:
+            # Only filter ERROR level messages from ComfyUI execution system
+            if record.levelno != logging.ERROR:
+                return True
+                
+            # Check if this is from ComfyUI execution system
+            if not (record.name.startswith("comfy") and ("execution" in record.name or record.name == "comfy")):
+                return True
+            
+            # Get the full message including any exception info
+            message = record.getMessage()
+            
+            # Simple check: if this log contains ComfyStreamAudioBufferError or ComfyStreamInputTimeoutError, suppress it
+            if ("ComfyStreamAudioBufferError" in message or 
+                "ComfyStreamInputTimeoutError" in message):
+                return False
+                
+            # Also check the exception info if present
+            if record.exc_info and record.exc_info[1]:
+                exc_str = str(record.exc_info[1])
+                exc_type = str(type(record.exc_info[1]))
+                
+                if ("ComfyStreamAudioBufferError" in exc_str or 
+                    "ComfyStreamInputTimeoutError" in exc_str or
+                    "ComfyStreamAudioBufferError" in exc_type or 
+                    "ComfyStreamInputTimeoutError" in exc_type):
+                    return False
+            
+            return True
+        except Exception as e:
+            # If filter fails, allow the log through and print the error
+            print(f"[FILTER ERROR] Filter failed: {e}")
+            return True
diff --git a/src/comfystream/server/utils/__init__.py b/src/comfystream/server/utils/__init__.py
index 31a55908..daa71bb1 100644
--- a/src/comfystream/server/utils/__init__.py
+++ b/src/comfystream/server/utils/__init__.py
@@ -1,2 +1,2 @@
-from .utils import patch_loop_datagram, add_prefix_to_app_routes, temporary_log_level, ComfyStreamTimeoutFilter
+from .utils import patch_loop_datagram, add_prefix_to_app_routes, temporary_log_level
 from .fps_meter import FPSMeter
diff --git a/src/comfystream/server/utils/utils.py b/src/comfystream/server/utils/utils.py
index 974aa74a..96e6661e 100644
--- a/src/comfystream/server/utils/utils.py
+++ b/src/comfystream/server/utils/utils.py
@@ -84,41 +84,3 @@ async def temporary_log_level(logger_name: str, level: int):
         if level is not None:
             logger.setLevel(original_level)
 
-
-class ComfyStreamTimeoutFilter(logging.Filter):
-    """Filter to suppress verbose ComfyUI execution logs for ComfyStream timeout exceptions."""
-    
-    def filter(self, record):
-        """Filter out ComfyUI execution error logs for ComfyStream timeout exceptions."""
-        # Only filter ERROR level messages from ComfyUI execution system
-        if record.levelno != logging.ERROR:
-            return True
-            
-        # Check if this is from ComfyUI execution system
-        if not (record.name.startswith("comfy") and ("execution" in record.name or record.name == "comfy")):
-            return True
-            
-        # Get the full message including any exception info
-        message = record.getMessage()
-        
-        # Check if this is a ComfyStream timeout-related error
-        timeout_indicators = [
-            "ComfyStreamInputTimeoutError",
-            "ComfyStreamAudioBufferError", 
-            "No video frames available",
-            "No audio frames available"
-        ]
-        
-        # Suppress if any timeout indicator is found in the message
-        for indicator in timeout_indicators:
-            if indicator in message:
-                return False
-                
-        # Also check the exception info if present
-        if record.exc_info and record.exc_info[1]:
-            exc_str = str(record.exc_info[1])
-            for indicator in timeout_indicators:
-                if indicator in exc_str:
-                    return False
-                    
-        return True

From 5c66950c44261572fc04f9af354e236ea9527357 Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Fri, 26 Sep 2025 12:59:05 -0400
Subject: [PATCH 07/19] Update documentation links to docs.comfystream.org
 (#431)

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 52c864f1..a9edf4be 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,7 @@ This repo also includes a WebRTC server and UI that uses comfystream to support
 
 Refer to [.devcontainer/README.md](.devcontainer/README.md) to setup ComfyStream in a devcontainer using a pre-configured ComfyUI docker environment.
 
-For other installation options, refer to [Install ComfyUI and ComfyStream](https://pipelines.livepeer.org/docs/technical/install/local-testing) in the Livepeer pipelines documentation.
+For other installation options, refer to [Install ComfyUI and ComfyStream](https://docs.comfystream.org/technical/get-started/install) in the ComfyStream documentation.
 
 For additional information, refer to the remaining sections below.
 
@@ -35,7 +35,7 @@ For additional information, refer to the remaining sections below.
 
 You can quickly deploy ComfyStream using the docker image `livepeer/comfystream`
 
-Refer to the documentation at [https://pipelines.livepeer.org/docs/technical/getting-started/install-comfystream](https://pipelines.livepeer.org/docs/technical/getting-started/install-comfystream) for instructions to run locally or on a remote server.
+Refer to the documentation at [https://docs.comfystream.org/technical/get-started/install](https://docs.comfystream.org/technical/get-started/install) for instructions to run locally or on a remote server.
 
 #### RunPod
 

From e25d25a19659ce4d5f1a5cb882e3abb1cf7b762d Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Fri, 26 Sep 2025 14:24:43 -0400
Subject: [PATCH 08/19] launch.json: update capability name for byoc (#437)

---
 .vscode/launch.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.vscode/launch.json b/.vscode/launch.json
index 4d442c58..f05e02f5 100755
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -56,7 +56,7 @@
             "env": {
                 "ORCH_URL": "https://172.17.0.1:9995",
                 "ORCH_SECRET": "orch-secret",
-                "CAPABILITY_NAME": "comfystream-byoc-processor",
+                "CAPABILITY_NAME": "comfystream",
                 "CAPABILITY_DESCRIPTION": "ComfyUI streaming processor for BYOC mode",
                 "CAPABILITY_URL": "http://172.17.0.1:8000",
                 "CAPABILITY_PRICE_PER_UNIT": "0",

From 29a51d5592624c6ae2d1c8a75fde1517f4ba653a Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Fri, 26 Sep 2025 15:15:54 -0400
Subject: [PATCH 09/19] fix(docker): add missing development libraries for
 Cairo and Pango (#438)

Co-authored-by: Jason Stone <ganesh_friend2010@yahoo.com>
---
 docker/Dockerfile.base | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index c8f6b7ff..7d3facda 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -27,6 +27,12 @@ RUN apt update && apt install -yqq --no-install-recommends \
     swig \
     libprotobuf-dev \
     protobuf-compiler \
+    libcairo2-dev \
+    libpango1.0-dev \
+    libgdk-pixbuf2.0-dev \
+    libffi-dev \
+    libgirepository1.0-dev \
+    pkg-config \
     && rm -rf /var/lib/apt/lists/*
 
 #enable opengl support with nvidia gpu

From 70f924ca702db8f7d64fc889c357c1373e7bc5af Mon Sep 17 00:00:00 2001
From: Jason <83615043+JJassonn69@users.noreply.github.com>
Date: Sat, 27 Sep 2025 06:40:27 +0300
Subject: [PATCH 10/19] feat: GitHub workflow opencv-cuda compilation (#432)

* feat: GitHub workflow for automated OpenCV CUDA builds
---
 .github/workflows/opencv-cuda-artifact.yml | 196 +++++++++++++++++++++
 docker/Dockerfile.opencv                   | 124 +++++++++++++
 2 files changed, 320 insertions(+)
 create mode 100644 .github/workflows/opencv-cuda-artifact.yml
 create mode 100644 docker/Dockerfile.opencv

diff --git a/.github/workflows/opencv-cuda-artifact.yml b/.github/workflows/opencv-cuda-artifact.yml
new file mode 100644
index 00000000..5572d09e
--- /dev/null
+++ b/.github/workflows/opencv-cuda-artifact.yml
@@ -0,0 +1,196 @@
+name: Build OpenCV CUDA Artifact
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'docker/Dockerfile.opencv'
+      - 'docker/Dockerfile.base'
+  pull_request:
+    branches:
+      - main
+    paths:
+      - 'docker/Dockerfile.opencv'
+      - 'docker/Dockerfile.base'
+  workflow_dispatch:
+    inputs:
+      python_version:
+        description: 'Python version to build'
+        required: false
+        default: '3.12'
+        type: string
+      cuda_version:
+        description: 'CUDA version to build'
+        required: false
+        default: '12.8'
+        type: string
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
+env:
+  PYTHON_VERSION: ${{ github.event.inputs.python_version || '3.12' }}
+  CUDA_VERSION: ${{ github.event.inputs.cuda_version || '12.8' }}
+
+jobs:
+  build-opencv-artifact:
+    name: Build OpenCV CUDA Artifact
+    runs-on: [self-hosted, linux, gpu]
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.sha || github.sha }}
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build OpenCV CUDA Docker image
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: docker/Dockerfile.opencv
+          build-args: |
+            BASE_IMAGE=nvidia/cuda:${{ env.CUDA_VERSION }}.1-cudnn-devel-ubuntu22.04
+            PYTHON_VERSION=${{ env.PYTHON_VERSION }}
+            CUDA_VERSION=${{ env.CUDA_VERSION }}
+          tags: opencv-cuda-artifact:latest
+          load: true
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      - name: Extract OpenCV libraries from Docker container
+        run: |
+          echo "Creating temporary container..."
+          docker create --name opencv-extract opencv-cuda-artifact:latest
+          
+          echo "Creating workspace directory..."
+          mkdir -p ./opencv-artifacts
+          
+          # Try to copy from system installation
+          docker cp opencv-extract:/usr/local/lib/python${{ env.PYTHON_VERSION }}/site-packages/cv2 ./opencv-artifacts/cv2 || echo "cv2 not found in system site-packages"
+          
+          echo "Copying OpenCV source directories..."
+          # Copy opencv and opencv_contrib source directories  
+          docker cp opencv-extract:/workspace/opencv ./opencv-artifacts/ || echo "opencv source not found"
+          docker cp opencv-extract:/workspace/opencv_contrib ./opencv-artifacts/ || echo "opencv_contrib source not found"
+          
+          echo "Cleaning up container..."
+          docker rm opencv-extract
+          
+          echo "Contents of opencv-artifacts:"
+          ls -la ./opencv-artifacts/
+
+      - name: Create tarball artifact
+        run: |
+          echo "Creating opencv-cuda-release.tar.gz..."
+          cd ./opencv-artifacts
+          tar -czf ../opencv-cuda-release.tar.gz . || echo "Failed to create tarball"
+          cd ..
+          
+          echo "Generating checksums..."
+          sha256sum opencv-cuda-release.tar.gz > opencv-cuda-release.tar.gz.sha256
+          md5sum opencv-cuda-release.tar.gz > opencv-cuda-release.tar.gz.md5
+          
+          echo "Verifying archive contents..."
+          echo "Archive size: $(ls -lh opencv-cuda-release.tar.gz | awk '{print $5}')"
+          echo "First 20 files in archive:"
+          tar -tzf opencv-cuda-release.tar.gz | head -20
+
+      - name: Extract and verify tarball
+        run: |
+          echo "Testing tarball extraction..."
+          mkdir -p test-extract
+          cd test-extract
+          tar -xzf ../opencv-cuda-release.tar.gz
+          echo "Extracted contents:"
+          find . -maxdepth 2 -type d | sort
+          cd ..
+          rm -rf test-extract
+
+      - name: Upload OpenCV CUDA Release Artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: opencv-cuda-release-python${{ env.PYTHON_VERSION }}-cuda${{ env.CUDA_VERSION }}-${{ github.sha }}
+          path: |
+            opencv-cuda-release.tar.gz
+            opencv-cuda-release.tar.gz.sha256
+            opencv-cuda-release.tar.gz.md5
+          retention-days: 30
+
+      - name: Create Release Notes
+        run: |
+          cat > release-info.txt << EOF
+          OpenCV CUDA Release Artifact
+          
+          Build Details:
+          - Python Version: ${{ env.PYTHON_VERSION }}
+          - CUDA Version: ${{ env.CUDA_VERSION }}
+          - OpenCV Version: 4.11.0
+          - Built on: $(date -u)
+          - Commit SHA: ${{ github.sha }}
+          
+          Contents:
+          - cv2: Python OpenCV module with CUDA support
+          - opencv: OpenCV source code
+          - opencv_contrib: OpenCV contrib modules source  
+          - lib: Compiled OpenCV libraries
+          - include: OpenCV header files
+          
+          Installation:
+          1. Download opencv-cuda-release.tar.gz
+          2. Extract: tar -xzf opencv-cuda-release.tar.gz
+          3. Copy cv2 to your Python environment's site-packages
+          4. Ensure CUDA libraries are in your system PATH
+          
+          Checksums:
+          SHA256: $(cat opencv-cuda-release.tar.gz.sha256)
+          MD5: $(cat opencv-cuda-release.tar.gz.md5)
+          EOF
+
+      - name: Upload Release Info
+        uses: actions/upload-artifact@v4
+        with:
+          name: release-info-python${{ env.PYTHON_VERSION }}-cuda${{ env.CUDA_VERSION }}-${{ github.sha }}
+          path: release-info.txt
+          retention-days: 30
+
+  create-release-draft:
+    name: Create Release Draft
+    needs: build-opencv-artifact
+    runs-on: ubuntu-latest
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+    
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Download artifacts
+        uses: actions/download-artifact@v4
+        with:
+          name: opencv-cuda-release-python${{ env.PYTHON_VERSION }}-cuda${{ env.CUDA_VERSION }}-${{ github.sha }}
+          path: ./artifacts
+
+      - name: Download release info
+        uses: actions/download-artifact@v4
+        with:
+          name: release-info-python${{ env.PYTHON_VERSION }}-cuda${{ env.CUDA_VERSION }}-${{ github.sha }}
+          path: ./artifacts
+
+      - name: Create Release Draft
+        uses: softprops/action-gh-release@v1
+        with:
+          tag_name: opencv-cuda-v${{ env.PYTHON_VERSION }}-${{ env.CUDA_VERSION }}-${{ github.run_number }}
+          name: OpenCV CUDA Release - Python ${{ env.PYTHON_VERSION }} CUDA ${{ env.CUDA_VERSION }}
+          body_path: ./artifacts/release-info.txt
+          draft: true
+          files: |
+            ./artifacts/opencv-cuda-release.tar.gz
+            ./artifacts/opencv-cuda-release.tar.gz.sha256
+            ./artifacts/opencv-cuda-release.tar.gz.md5
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
\ No newline at end of file
diff --git a/docker/Dockerfile.opencv b/docker/Dockerfile.opencv
new file mode 100644
index 00000000..848db1fe
--- /dev/null
+++ b/docker/Dockerfile.opencv
@@ -0,0 +1,124 @@
+ARG BASE_IMAGE=nvidia/cuda:12.8.1-cudnn-devel-ubuntu22.04 \
+    CONDA_VERSION=latest \
+    PYTHON_VERSION=3.12 \
+    CUDA_VERSION=12.8
+
+FROM "${BASE_IMAGE}"
+
+ARG CONDA_VERSION \
+    PYTHON_VERSION \
+    CUDA_VERSION
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    CONDA_VERSION="${CONDA_VERSION}" \
+    PATH="/workspace/miniconda3/bin:${PATH}" \
+    PYTHON_VERSION="${PYTHON_VERSION}" \
+    CUDA_VERSION="${CUDA_VERSION}"
+
+# System dependencies
+RUN apt update && apt install -yqq \
+    git \
+    wget \
+    nano \
+    socat \
+    libsndfile1 \
+    build-essential \
+    llvm \
+    tk-dev \
+    cmake \
+    libgflags-dev \
+    libgoogle-glog-dev \
+    libjpeg-dev \
+    libavcodec-dev \
+    libavformat-dev \
+    libavutil-dev \
+    libswscale-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN mkdir -p /workspace/comfystream && \
+    wget "https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh" -O /tmp/miniconda.sh && \
+    bash /tmp/miniconda.sh -b -p /workspace/miniconda3 && \
+    eval "$(/workspace/miniconda3/bin/conda shell.bash hook)" && \
+    conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main && \
+    conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r && \
+    conda create -n comfystream python="${PYTHON_VERSION}" -c conda-forge -y && \
+    rm /tmp/miniconda.sh && \
+    conda run -n comfystream --no-capture-output pip install numpy==1.26.4 aiortc aiohttp requests tqdm pyyaml --root-user-action=ignore
+
+# Clone ComfyUI
+ADD --link https://github.com/comfyanonymous/ComfyUI.git /workspace/ComfyUI
+
+# OpenCV with CUDA support
+WORKDIR /workspace
+
+# Clone OpenCV repositories
+RUN git clone --depth 1 --branch 4.11.0 https://github.com/opencv/opencv.git && \
+    git clone --depth 1 --branch 4.11.0 https://github.com/opencv/opencv_contrib.git
+
+# Create build directory
+RUN mkdir -p /workspace/opencv/build
+
+# Create a toolchain file with absolute path
+RUN echo '# Custom toolchain file to exclude Conda paths\n\
+\n\
+# Set system compilers\n\
+set(CMAKE_C_COMPILER "/usr/bin/gcc")\n\
+set(CMAKE_CXX_COMPILER "/usr/bin/g++")\n\
+\n\
+# Set system root directories\n\
+set(CMAKE_FIND_ROOT_PATH "/usr")\n\
+set(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER)\n\
+set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY)\n\
+set(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)\n\
+set(CMAKE_FIND_ROOT_PATH_MODE_PACKAGE ONLY)\n\
+\n\
+# Explicitly exclude Conda paths\n\
+list(APPEND CMAKE_IGNORE_PATH \n\
+    "/workspace/miniconda3"\n\
+    "/workspace/miniconda3/envs"\n\
+    "/workspace/miniconda3/envs/comfystream"\n\
+    "/workspace/miniconda3/envs/comfystream/lib"\n\
+)\n\
+\n\
+# Set RPATH settings\n\
+set(CMAKE_SKIP_BUILD_RPATH FALSE)\n\
+set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE)\n\
+set(CMAKE_INSTALL_RPATH "/usr/local/lib:/usr/lib/x86_64-linux-gnu")\n\
+set(PYTHON_LIBRARY "/workspace/miniconda3/envs/comfystream/lib/")\n\
+set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)' > /workspace/custom_toolchain.cmake
+
+# Set environment variables for OpenCV
+RUN echo 'export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH' >> /root/.bashrc
+
+# Build and install OpenCV with CUDA support
+RUN cd /workspace/opencv/build && \
+    # Build OpenCV
+    cmake \
+      -D CMAKE_TOOLCHAIN_FILE=/workspace/custom_toolchain.cmake \
+      -D CMAKE_BUILD_TYPE=RELEASE \
+      -D CMAKE_INSTALL_PREFIX=/usr/local \
+      -D WITH_CUDA=ON \
+      -D WITH_CUDNN=ON \
+      -D WITH_CUBLAS=ON \
+      -D WITH_TBB=ON \
+      -D CUDA_ARCH_LIST="8.0+PTX" \
+      -D OPENCV_DNN_CUDA=ON \
+      -D OPENCV_ENABLE_NONFREE=ON \
+      -D CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
+      -D OPENCV_EXTRA_MODULES_PATH=/workspace/opencv_contrib/modules \
+      -D PYTHON3_EXECUTABLE=/workspace/miniconda3/envs/comfystream/bin/python3.12 \
+      -D PYTHON_INCLUDE_DIR=/workspace/miniconda3/envs/comfystream/include/python3.12 \
+      -D PYTHON_LIBRARY=/workspace/miniconda3/envs/comfystream/lib/libpython3.12.so \
+      -D HAVE_opencv_python3=ON \
+      -D WITH_NVCUVID=OFF \
+      -D WITH_NVCUVENC=OFF \
+      .. && \  
+    make -j$(nproc) && \
+    make install && \
+    ldconfig
+
+# Configure no environment activation by default
+RUN conda config --set auto_activate_base false && \
+    conda init bash
+
+WORKDIR /workspace/comfystream

From daf4fc557b92d54fa7c297c0e1f68295b8fd5356 Mon Sep 17 00:00:00 2001
From: Jason <83615043+JJassonn69@users.noreply.github.com>
Date: Sat, 27 Sep 2025 08:58:16 +0300
Subject: [PATCH 11/19] chore: update opencv-cuda for Python 3.12, add
 FasterLivePortrait (#413)

* chore: update opencv-cuda for Python 3.12, add FasterLivePortrait
add JoyVASA models, add ComfyUI-FasterLivePortrait, add engine build script
fix(constraints): add cuda-python dependency to constraints file
docker(opencv-cuda): pin move apt pkg installs from entrypoint to dockerfile.base
dockerfile: add opencv-cuda installation, update to build v2.1
---------

Co-authored-by: John | Elite Encoder <john@eliteencoder.net>
---
 configs/models.yaml                     | 74 +++++++++++++++++++++++++
 configs/nodes.yaml                      |  6 ++
 docker/Dockerfile.base                  | 48 +++++++++-------
 docker/entrypoint.sh                    | 19 +++----
 src/comfystream/scripts/constraints.txt |  1 +
 5 files changed, 118 insertions(+), 30 deletions(-)

diff --git a/configs/models.yaml b/configs/models.yaml
index 09149f95..be3fce6b 100644
--- a/configs/models.yaml
+++ b/configs/models.yaml
@@ -74,6 +74,80 @@ models:
     path: "text_encoders/CLIPText/model.fp16.safetensors"
     type: "text_encoder"
 
+  # JoyVASA models for ComfyUI-FasterLivePortrait
+  joyvasa_motion_generator:
+    name: "JoyVASA Motion Generator"
+    url: "https://huggingface.co/jdh-algo/JoyVASA/resolve/main/motion_generator/motion_generator_hubert_chinese.pt?download=true"
+    path: "liveportrait_onnx/joyvasa_models/motion_generator_hubert_chinese.pt"
+    type: "torch"
+
+  joyvasa_audio_model:
+    name: "JoyVASA Hubert Chinese"
+    url: "https://huggingface.co/TencentGameMate/chinese-hubert-base/resolve/main/chinese-hubert-base-fairseq-ckpt.pt?download=true"
+    path: "liveportrait_onnx/joyvasa_models/chinese-hubert-base-fairseq-ckpt.pt"
+    type: "torch"
+
+  joyvasa_motion_template:
+    name: "JoyVASA Motion Template"
+    url: "https://huggingface.co/jdh-algo/JoyVASA/resolve/main/motion_template/motion_template.pkl?download=true"
+    path: "liveportrait_onnx/joyvasa_models/motion_template.pkl"
+    type: "pickle"
+
+  # LivePortrait ONNX models - only necessary to build TRT engines
+  warping_spade:
+    name: "WarpingSpadeModel"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/warping_spade-fix.onnx?download=true"
+    path: "liveportrait_onnx/warping_spade-fix.onnx"
+    type: "onnx"
+
+  motion_extractor:
+    name: "MotionExtractorModel"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/motion_extractor.onnx?download=true"
+    path: "liveportrait_onnx/motion_extractor.onnx"
+    type: "onnx"
+
+  landmark:
+    name: "LandmarkModel"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/landmark.onnx?download=true"
+    path: "liveportrait_onnx/landmark.onnx"
+    type: "onnx"
+
+  face_analysis_retinaface:
+    name: "FaceAnalysisModel - RetinaFace"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/retinaface_det_static.onnx?download=true"
+    path: "liveportrait_onnx/retinaface_det_static.onnx"
+    type: "onnx"
+
+  face_analysis_2dpose:
+    name: "FaceAnalysisModel - 2DPose"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/face_2dpose_106_static.onnx?download=true"
+    path: "liveportrait_onnx/face_2dpose_106_static.onnx"
+    type: "onnx"
+
+  appearance_feature_extractor:
+    name: "AppearanceFeatureExtractorModel"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/appearance_feature_extractor.onnx?download=true"
+    path: "liveportrait_onnx/appearance_feature_extractor.onnx"
+    type: "onnx"
+
+  stitching:
+    name: "StitchingModel"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/stitching.onnx?download=true"
+    path: "liveportrait_onnx/stitching.onnx"
+    type: "onnx"
+
+  stitching_eye_retarget:
+    name: "StitchingModel (Eye Retargeting)"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/stitching_eye.onnx?download=true"
+    path: "liveportrait_onnx/stitching_eye.onnx"
+    type: "onnx"
+
+  stitching_lip_retarget:
+    name: "StitchingModel (Lip Retargeting)"
+    url: "https://huggingface.co/warmshao/FasterLivePortrait/resolve/main/liveportrait_onnx/stitching_lip.onnx?download=true"
+    path: "liveportrait_onnx/stitching_lip.onnx"
+    type: "onnx"
+    
   sd-turbo:
     name: "SD-Turbo"
     url: "https://huggingface.co/stabilityai/sd-turbo/resolve/main/sd_turbo.safetensors"
diff --git a/configs/nodes.yaml b/configs/nodes.yaml
index 49d422a5..cf497e07 100644
--- a/configs/nodes.yaml
+++ b/configs/nodes.yaml
@@ -19,6 +19,12 @@ nodes:
     branch: "main"
     type: "tensorrt"
 
+  comfyui-fasterliveportrait:
+    name: "ComfyUI FasterLivePortrait"
+    url: "https://github.com/pschroedl/ComfyUI-FasterLivePortrait.git"
+    branch: "main"
+    type: "tensorrt"
+
   # Ryan's nodes
   comfyui-ryanontheinside:
     name: "ComfyUI RyanOnTheInside"
diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index 7d3facda..00c21455 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -8,31 +8,20 @@ ARG CONDA_VERSION \
     PYTHON_VERSION
 
 ENV DEBIAN_FRONTEND=noninteractive \
+    TensorRT_ROOT=/opt/TensorRT-10.12.0.36 \
     CONDA_VERSION="${CONDA_VERSION}" \
     PATH="/workspace/miniconda3/bin:${PATH}" \
     PYTHON_VERSION="${PYTHON_VERSION}"
-
+    
 # System dependencies
 RUN apt update && apt install -yqq --no-install-recommends \
-    git \
-    wget \
-    nano \
-    socat \
-    libsndfile1 \
-    build-essential \
-    llvm \
-    tk-dev \
-    libglvnd-dev \
-    cmake \
-    swig \
-    libprotobuf-dev \
-    protobuf-compiler \
-    libcairo2-dev \
-    libpango1.0-dev \
-    libgdk-pixbuf2.0-dev \
-    libffi-dev \
-    libgirepository1.0-dev \
-    pkg-config \
+    git wget nano socat \
+    libsndfile1 build-essential llvm tk-dev \
+    libglvnd-dev cmake swig libprotobuf-dev \
+    protobuf-compiler libcairo2-dev libpango1.0-dev libgdk-pixbuf2.0-dev \
+    libffi-dev libgirepository1.0-dev pkg-config libgflags-dev \
+    libgoogle-glog-dev libjpeg-dev libavcodec-dev libavformat-dev \
+    libavutil-dev libswscale-dev \
     && rm -rf /var/lib/apt/lists/*
 
 #enable opengl support with nvidia gpu
@@ -61,6 +50,21 @@ conda run -n comfystream --no-capture-output pip install wheel
 COPY ./src/comfystream/scripts /workspace/comfystream/src/comfystream/scripts
 COPY ./configs /workspace/comfystream/configs
 
+# TensorRT SDK
+WORKDIR /opt
+RUN wget --progress=dot:giga \
+    https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/10.12.0/tars/TensorRT-10.12.0.36.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && tar -xzf TensorRT-10.12.0.36.Linux.x86_64-gnu.cuda-12.9.tar.gz \
+    && rm TensorRT-10.12.0.36.Linux.x86_64-gnu.cuda-12.9.tar.gz
+
+# Link libraries and update linker cache
+RUN echo "${TensorRT_ROOT}/lib" > /etc/ld.so.conf.d/tensorrt.conf \
+    && ldconfig
+
+# Install matching TensorRT Python bindings for CPython 3.12
+RUN conda run -n comfystream pip install --no-cache-dir \
+    ${TensorRT_ROOT}/python/tensorrt-10.12.0.36-cp312-none-linux_x86_64.whl
+
 # Clone ComfyUI
 RUN git clone --branch v0.3.56 --depth 1 https://github.com/comfyanonymous/ComfyUI.git /workspace/ComfyUI
 
@@ -72,6 +76,10 @@ RUN conda run -n comfystream --cwd /workspace/comfystream --no-capture-output pi
 # Copy comfystream and example workflows to ComfyUI
 COPY ./workflows/comfyui/* /workspace/ComfyUI/user/default/workflows/
 COPY ./test/example-512x512.png /workspace/ComfyUI/input
+COPY ./docker/entrypoint.sh /workspace/comfystream/docker/entrypoint.sh
+
+# Install OpenCV CUDA
+RUN conda run -n comfystream --no-capture-output --cwd /workspace/comfystream --no-capture-output docker/entrypoint.sh --opencv-cuda
 
 # Install ComfyUI requirements
 RUN conda run -n comfystream --no-capture-output --cwd /workspace/ComfyUI pip install -r requirements.txt --root-user-action=ignore
diff --git a/docker/entrypoint.sh b/docker/entrypoint.sh
index ef55c77e..e6d44463 100755
--- a/docker/entrypoint.sh
+++ b/docker/entrypoint.sh
@@ -130,6 +130,14 @@ if [ "$1" = "--build-engines" ]; then
     echo "Engine for DepthAnything2 (large) already exists at ${DEPTH_ANYTHING_DIR}/${DEPTH_ANYTHING_ENGINE_LARGE}, skipping..."
   fi
 
+  # Build Engines for FasterLivePortrait
+  if [ ! -f "$FASTERLIVEPORTRAIT_DIR/warping_spade-fix.trt" ]; then
+    cd "$FASTERLIVEPORTRAIT_DIR"
+    bash /workspace/ComfyUI/custom_nodes/ComfyUI-FasterLivePortrait/scripts/build_fasterliveportrait_trt.sh "${FASTERLIVEPORTRAIT_DIR}" "${FASTERLIVEPORTRAIT_DIR}" "${FASTERLIVEPORTRAIT_DIR}"
+  else
+    echo "Engines for FasterLivePortrait already exists, skipping..."
+  fi
+
   # Build Engine for StreamDiffusion
   if [ ! -f "$TENSORRT_DIR/StreamDiffusion-engines/stabilityai/sd-turbo--lcm_lora-True--tiny_vae-True--max_batch-3--min_batch-3--mode-img2img/unet.engine.opt.onnx" ]; then
     cd /workspace/ComfyUI/custom_nodes/ComfyUI-StreamDiffusion
@@ -158,7 +166,7 @@ if [ "$1" = "--opencv-cuda" ]; then
   if [ ! -f "/workspace/comfystream/opencv-cuda-release.tar.gz" ]; then
     # Download and extract OpenCV CUDA build
     DOWNLOAD_NAME="opencv-cuda-release.tar.gz"
-    wget -q -O "$DOWNLOAD_NAME" https://github.com/JJassonn69/ComfyUI-Stream-Pack/releases/download/v2/opencv-cuda-release.tar.gz
+    wget -q -O "$DOWNLOAD_NAME" https://github.com/JJassonn69/ComfyUI-Stream-Pack/releases/download/v2.1/opencv-cuda-release.tar.gz
     tar -xzf "$DOWNLOAD_NAME" -C /workspace/comfystream/
     rm "$DOWNLOAD_NAME"
   else
@@ -166,15 +174,6 @@ if [ "$1" = "--opencv-cuda" ]; then
   fi
 
   # Install required libraries
-  apt-get update && apt-get install -y \
-    libgflags-dev \
-    libgoogle-glog-dev \
-    libjpeg-dev \
-    libavcodec-dev \
-    libavformat-dev \
-    libavutil-dev \
-    libswscale-dev
-
   # Remove existing cv2 package
   SITE_PACKAGES_DIR="/workspace/miniconda3/envs/comfystream/lib/python3.12/site-packages"
   rm -rf "${SITE_PACKAGES_DIR}/cv2"*
diff --git a/src/comfystream/scripts/constraints.txt b/src/comfystream/scripts/constraints.txt
index 529030f2..9d1bdccb 100644
--- a/src/comfystream/scripts/constraints.txt
+++ b/src/comfystream/scripts/constraints.txt
@@ -2,6 +2,7 @@
 --extra-index-url https://pypi.nvidia.com
 numpy<2.0.0
 torch==2.7.1+cu128
+cuda-python<13.0
 torchvision==0.22.1+cu128
 torchaudio==2.7.1+cu128
 tensorrt==10.12.0.36

From 2909ea4e36aac50856c812fc4376775409ed7a5f Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Sat, 27 Sep 2025 02:09:32 -0400
Subject: [PATCH 12/19] chore(deps): bump actions/setup-node from 4 to 5 (#377)

Bumps [actions/setup-node](https://github.com/actions/setup-node) from 4 to 5.
- [Release notes](https://github.com/actions/setup-node/releases)
- [Commits](https://github.com/actions/setup-node/compare/v4...v5)

---
updated-dependencies:
- dependency-name: actions/setup-node
  dependency-version: '5'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 .github/workflows/release.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 01900b71..b46ff8ba 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -14,7 +14,7 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - uses: actions/setup-node@v4
+      - uses: actions/setup-node@v5
         with:
           node-version: 18
           cache: npm

From cc292f89f349a17f42b244e128c5a156235f0a21 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Sat, 27 Sep 2025 02:33:57 -0400
Subject: [PATCH 13/19] chore(deps-dev): bump brace-expansion from 1.1.11 to
 1.1.12 in /ui (#443)

Bumps [brace-expansion](https://github.com/juliangruber/brace-expansion) from 1.1.11 to 1.1.12.
- [Release notes](https://github.com/juliangruber/brace-expansion/releases)
- [Commits](https://github.com/juliangruber/brace-expansion/compare/1.1.11...v1.1.12)
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
---
 ui/package-lock.json | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/ui/package-lock.json b/ui/package-lock.json
index 1261f842..0938cc8b 100644
--- a/ui/package-lock.json
+++ b/ui/package-lock.json
@@ -2367,9 +2367,9 @@
       }
     },
     "node_modules/@typescript-eslint/typescript-estree/node_modules/brace-expansion": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
-      "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz",
+      "integrity": "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -2866,9 +2866,9 @@
       }
     },
     "node_modules/brace-expansion": {
-      "version": "1.1.11",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.11.tgz",
-      "integrity": "sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==",
+      "version": "1.1.12",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz",
+      "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -7389,9 +7389,9 @@
       }
     },
     "node_modules/sucrase/node_modules/brace-expansion": {
-      "version": "2.0.1",
-      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
-      "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.2.tgz",
+      "integrity": "sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==",
       "license": "MIT",
       "dependencies": {
         "balanced-match": "^1.0.0"

From 50717e0f1970987d85fe16518629cfc8ab273c70 Mon Sep 17 00:00:00 2001
From: Jason <83615043+JJassonn69@users.noreply.github.com>
Date: Mon, 29 Sep 2025 17:23:35 +0300
Subject: [PATCH 14/19] Feat/updated UI remove inline (#444)

* refactor: remove unused HTTP streaming modules and clean up related code
---
 server/app.py                        |  29 -----
 server/frame_buffer.py               |  42 -------
 server/http_streaming/__init__.py    |   5 -
 server/http_streaming/routes.py      |  69 -----------
 server/http_streaming/tokens.py      |  86 -------------
 server/public/stream.html            |  60 ---------
 ui/src/app/webrtc-preview/page.tsx   | 176 +++++++++++++++++++++++++++
 ui/src/components/room.tsx           |   6 +-
 ui/src/components/stream-control.tsx | 127 ++++++++-----------
 ui/src/hooks/use-peer.ts             |  26 +++-
 10 files changed, 252 insertions(+), 374 deletions(-)
 delete mode 100644 server/frame_buffer.py
 delete mode 100644 server/http_streaming/__init__.py
 delete mode 100644 server/http_streaming/routes.py
 delete mode 100644 server/http_streaming/tokens.py
 delete mode 100644 server/public/stream.html
 create mode 100644 ui/src/app/webrtc-preview/page.tsx

diff --git a/server/app.py b/server/app.py
index 028f12bb..b496a458 100644
--- a/server/app.py
+++ b/server/app.py
@@ -12,9 +12,6 @@
 if torch.cuda.is_available():
     torch.cuda.init()
 
-
-from aiohttp import web, MultipartWriter
-from aiohttp_cors import setup as setup_cors, ResourceOptions
 from aiohttp import web
 from aiortc import (
     MediaStreamTrack,
@@ -24,7 +21,6 @@
     RTCSessionDescription,
 )
 # Import HTTP streaming modules
-from http_streaming.routes import setup_routes
 from aiortc.codecs import h264
 from aiortc.rtcrtpsender import RTCRtpSender
 from comfystream.pipeline import Pipeline
@@ -112,15 +108,6 @@ async def recv(self):
         """
         processed_frame = await self.pipeline.get_processed_video_frame()
 
-                # Update the frame buffer with the processed frame
-        try:
-            from frame_buffer import FrameBuffer
-            frame_buffer = FrameBuffer.get_instance()
-            frame_buffer.update_frame(processed_frame)
-        except Exception as e:
-            # Don't let frame buffer errors affect the main pipeline
-            print(f"Error updating frame buffer: {e}")
-
         # Increment the frame count to calculate FPS.
         await self.fps_meter.increment_frame_count()
 
@@ -637,16 +624,6 @@ async def on_shutdown(app: web.Application):
     app = web.Application()
     app["media_ports"] = args.media_ports.split(",") if args.media_ports else None
     app["workspace"] = args.workspace
-    
-    # Setup CORS
-    cors = setup_cors(app, defaults={
-        "*": ResourceOptions(
-            allow_credentials=True,
-            expose_headers="*",
-            allow_headers="*",
-            allow_methods=["GET", "POST", "OPTIONS"]
-        )
-    })
 
     app.on_startup.append(on_startup)
     app.on_shutdown.append(on_shutdown)
@@ -658,12 +635,6 @@ async def on_shutdown(app: web.Application):
     app.router.add_post("/offer", offer)
     app.router.add_post("/prompt", set_prompt)
     
-    # Setup HTTP streaming routes
-    setup_routes(app, cors)
-    
-    # Serve static files from the public directory
-    app.router.add_static("/", path=os.path.join(os.path.dirname(__file__), "public"), name="static")
-
     # Add routes for getting stream statistics.
     stream_stats_manager = StreamStatsManager(app)
     app.router.add_get(
diff --git a/server/frame_buffer.py b/server/frame_buffer.py
deleted file mode 100644
index 2a16407a..00000000
--- a/server/frame_buffer.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import threading
-import time
-import numpy as np
-import cv2
-import av
-from typing import Optional
-
-class FrameBuffer:
-    _instance = None
-    
-    @classmethod
-    def get_instance(cls):
-        if cls._instance is None:
-            cls._instance = FrameBuffer()
-        return cls._instance
-    
-    def __init__(self):
-        self.current_frame = None
-        self.frame_lock = threading.Lock()
-        self.last_update_time = 0
-        self.quality = 70  # JPEG quality (0-100)
-        
-    def update_frame(self, frame):
-        """Update the current frame in the buffer"""
-        with self.frame_lock:
-            # Convert frame to numpy array if it's an av.VideoFrame
-            if isinstance(frame, av.VideoFrame):
-                frame_np = frame.to_ndarray(format="rgb24")
-            else:
-                frame_np = frame
-                
-            # Store the frame as a JPEG-encoded bytes object for efficient serving
-            _, jpeg_frame = cv2.imencode('.jpg', cv2.cvtColor(frame_np, cv2.COLOR_RGB2BGR), 
-                                        [cv2.IMWRITE_JPEG_QUALITY, self.quality])
-            
-            self.current_frame = jpeg_frame.tobytes()
-            self.last_update_time = time.time()
-    
-    def get_current_frame(self) -> Optional[bytes]:
-        """Get the current frame from the buffer"""
-        with self.frame_lock:
-            return self.current_frame
diff --git a/server/http_streaming/__init__.py b/server/http_streaming/__init__.py
deleted file mode 100644
index 4fad17f7..00000000
--- a/server/http_streaming/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-"""
-HTTP Streaming module for ComfyStream.
-
-This module contains components for token management and HTTP streaming routes.
-"""
diff --git a/server/http_streaming/routes.py b/server/http_streaming/routes.py
deleted file mode 100644
index ac309bae..00000000
--- a/server/http_streaming/routes.py
+++ /dev/null
@@ -1,69 +0,0 @@
-"""
-HTTP streaming routes for ComfyStream.
-
-This module contains the routes for HTTP streaming.
-"""
-import asyncio
-import logging
-from aiohttp import web
-from frame_buffer import FrameBuffer
-from .tokens import cleanup_expired_sessions, validate_token, create_stream_token
-
-logger = logging.getLogger(__name__)
-
-async def stream_mjpeg(request):
-    """Serve an MJPEG stream with token validation"""
-    # Clean up expired sessions
-    cleanup_expired_sessions()
-    
-    stream_id = request.query.get("token")
-    
-    # Validate the stream token
-    is_valid, error_message = validate_token(stream_id)
-    if not is_valid:
-        return web.Response(status=403, text=error_message)
-    
-    frame_buffer = FrameBuffer.get_instance()
-    
-    # Use a fixed frame delay for 30 FPS
-    frame_delay = 1.0 / 30
-    
-    response = web.StreamResponse(
-        status=200,
-        reason='OK',
-        headers={
-            'Content-Type': 'multipart/x-mixed-replace; boundary=frame',
-            'Cache-Control': 'no-cache',
-            'Connection': 'close',
-        }
-    )
-    await response.prepare(request)
-    
-    try:
-        while True:
-            jpeg_frame = frame_buffer.get_current_frame()
-            if jpeg_frame is not None:
-                await response.write(
-                    b'--frame\r\n'
-                    b'Content-Type: image/jpeg\r\n\r\n' + jpeg_frame + b'\r\n'
-                )
-            await asyncio.sleep(frame_delay)
-    except (ConnectionResetError, asyncio.CancelledError):
-        logger.info("MJPEG stream connection closed")
-    except Exception as e:
-        logger.error(f"Error in MJPEG stream: {e}")
-    finally:
-        return response
-
-def setup_routes(app, cors):
-    """Setup HTTP streaming routes
-    
-    Args:
-        app: The aiohttp web application
-        cors: The CORS setup object
-    """
-    # Stream token endpoints
-    cors.add(app.router.add_post("/api/stream-token", create_stream_token))
-    
-    # Stream endpoint with token validation
-    cors.add(app.router.add_get("/api/stream", stream_mjpeg))
diff --git a/server/http_streaming/tokens.py b/server/http_streaming/tokens.py
deleted file mode 100644
index d424cf36..00000000
--- a/server/http_streaming/tokens.py
+++ /dev/null
@@ -1,86 +0,0 @@
-"""
-Token management system for ComfyStream HTTP streaming.
-
-This module handles the creation, validation, and management of stream tokens.
-"""
-import time
-import secrets
-import logging
-from aiohttp import web
-
-logger = logging.getLogger(__name__)
-
-# Constants
-SESSION_CLEANUP_INTERVAL = 60  # Clean up expired sessions every 60 seconds
-
-# Global token storage
-active_stream_sessions = {}
-last_cleanup_time = 0
-
-def cleanup_expired_sessions():
-    """Clean up expired stream sessions"""
-    global active_stream_sessions, last_cleanup_time
-    
-    current_time = time.time()
-    
-    # Only clean up if it's been at least SESSION_CLEANUP_INTERVAL since last cleanup
-    if current_time - last_cleanup_time < SESSION_CLEANUP_INTERVAL:
-        return
-    
-    # Update the last cleanup time
-    last_cleanup_time = current_time
-    
-    # Find expired sessions
-    expired_sessions = [sid for sid, expires in active_stream_sessions.items() if current_time > expires]
-    
-    # Remove expired sessions
-    for sid in expired_sessions:
-        logger.info(f"Removing expired session: {sid[:8]}...")
-        del active_stream_sessions[sid]
-    
-    if expired_sessions:
-        logger.info(f"Cleaned up {len(expired_sessions)} expired sessions. {len(active_stream_sessions)} active sessions remaining.")
-
-async def create_stream_token(request):
-    """Create a unique stream token for secure access to the stream"""
-    global active_stream_sessions
-    
-    # Clean up expired sessions
-    cleanup_expired_sessions()
-    
-    current_time = time.time()
-    
-    # Generate a new unique token
-    stream_id = secrets.token_urlsafe(32)
-    expires_at = current_time + 3600  # 1 hour from now
-    
-    # Store the new session
-    active_stream_sessions[stream_id] = expires_at
-    
-    logger.info(f"Generated new stream token: {stream_id[:8]}... ({len(active_stream_sessions)} active sessions)")
-    
-    return web.json_response({
-        "stream_id": stream_id,
-        "expires_at": int(expires_at)
-    })
-
-def validate_token(token):
-    """Validate a stream token and return whether it's valid
-    
-    Args:
-        token: The token to validate
-        
-    Returns:
-        tuple: (is_valid, error_message)
-    """
-    if not token or token not in active_stream_sessions:
-        return False, "Invalid stream token"
-    
-    # Check if token is expired
-    current_time = time.time()
-    if current_time > active_stream_sessions[token]:
-        # Remove expired token
-        del active_stream_sessions[token]
-        return False, "Stream token expired"
-    
-    return True, None
diff --git a/server/public/stream.html b/server/public/stream.html
deleted file mode 100644
index 536781f9..00000000
--- a/server/public/stream.html
+++ /dev/null
@@ -1,60 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <title>ComfyStream - OBS Capture</title>
-    <style>
-        body, html {
-            margin: 0;
-            padding: 0;
-            width: 100%;
-            height: 100%;
-            overflow: hidden;
-            background-color: #000;
-            font-family: Arial, sans-serif;
-        }
-        
-        img {
-            width: 100%;
-            height: 100%;
-            object-fit: contain;
-            display: block;
-        }
-        
-        .error-message {
-            color: white;
-            text-align: center;
-            padding: 20px;
-            font-family: Arial, sans-serif;
-        }
-    </style>
-    <script>
-        // Initialize the stream by getting the token from the URL
-        window.onload = function() {
-            try {
-                // Get the token from the URL
-                const urlParams = new URLSearchParams(window.location.search);
-                const token = urlParams.get('token');
-                
-                if (!token) {
-                    document.body.innerHTML = '<div class="error-message">Error: Missing stream token.</div>';
-                    return;
-                }
-                
-                // Set up the stream with the token
-                const isHosted = window.location.pathname.includes('/live');
-                const pathPrefix = isHosted ? '/live' : '';
-                document.getElementById('stream').src = `${pathPrefix}/api/stream?token=${token}`;
-                
-            } catch (error) {
-                console.error('Failed to initialize stream:', error);
-                document.body.innerHTML = `<div class="error-message">Error: ${error.message}</div>`;
-            }
-        };
-    </script>
-</head>
-<body>
-    <img id="stream" alt="Video Stream">
-</body>
-</html>
diff --git a/ui/src/app/webrtc-preview/page.tsx b/ui/src/app/webrtc-preview/page.tsx
new file mode 100644
index 00000000..b2d2045a
--- /dev/null
+++ b/ui/src/app/webrtc-preview/page.tsx
@@ -0,0 +1,176 @@
+"use client";
+// WebRTC Preview Popup Page (client-only)
+
+import React, { useEffect, useRef, useState, useCallback } from "react";
+
+const POLL_INTERVAL_MS = 300;
+const MAX_ATTEMPTS = 200; // ~60s
+
+export default function WebRTCPopupPage() {
+  const videoRef = useRef<HTMLVideoElement | null>(null);
+  const localStreamRef = useRef<MediaStream | null>(null);
+  const parentStreamRef = useRef<MediaStream | null>(null);
+  const clonedIdsRef = useRef<Set<string>>(new Set());
+  const attemptsRef = useRef(0);
+  const intervalRef = useRef<number | null>(null);
+  const [status, setStatus] = useState("Initializing…");
+
+  const clearIntervalInternal = useCallback(() => {
+    if (intervalRef.current !== null) {
+      window.clearInterval(intervalRef.current);
+      intervalRef.current = null;
+    }
+  }, []);
+
+  const scheduleClose = useCallback((delay = 800) => {
+    window.setTimeout(() => {
+      try { window.close(); } catch { /* noop */ }
+    }, delay);
+  }, []);
+
+  const validateOpener = useCallback((): boolean => {
+    try {
+      if (!window.opener) {
+        setStatus("Opener lost. Closing…");
+        scheduleClose();
+        return false;
+      }
+      void window.opener.location.href; // cross-origin check
+      return true;
+    } catch {
+      setStatus("Cross-origin opener. Closing…");
+      scheduleClose();
+      return false;
+    }
+  }, [scheduleClose]);
+
+  const attachVideoIfNeeded = () => {
+    if (!localStreamRef.current) return;
+    const video = videoRef.current;
+    if (video && video.srcObject !== localStreamRef.current) {
+      video.srcObject = localStreamRef.current;
+    }
+  };
+
+  const cloneTracks = useCallback(() => {
+    if (!validateOpener()) return;
+    // @ts-ignore - global from opener context
+    const parentStream: MediaStream | undefined = window.opener?.__comfystreamRemoteStream;
+    if (!parentStream) {
+      setStatus("Waiting for stream…");
+      return;
+    }
+    if (!localStreamRef.current) {
+      localStreamRef.current = new MediaStream();
+    }
+    // Parent stream changed -> reset
+    if (parentStreamRef.current && parentStreamRef.current !== parentStream) {
+      localStreamRef.current.getTracks().forEach(t => { try { t.stop(); } catch { /* */ } });
+      localStreamRef.current = new MediaStream();
+      clonedIdsRef.current.clear();
+    }
+    parentStreamRef.current = parentStream;
+
+    let added = false;
+    parentStream.getTracks().forEach(src => {
+      if (src.readyState === "ended") return;
+      if (!clonedIdsRef.current.has(src.id)) {
+        try {
+          const clone = src.clone();
+          clone.addEventListener("ended", () => {
+            clonedIdsRef.current.delete(src.id);
+          });
+          localStreamRef.current!.addTrack(clone);
+          clonedIdsRef.current.add(src.id);
+          added = true;
+        } catch {
+          /* skip */
+        }
+      }
+    });
+    // Cleanup ended clones
+    localStreamRef.current.getTracks().forEach(t => {
+      if (t.readyState === "ended") {
+        localStreamRef.current!.removeTrack(t);
+        try { t.stop(); } catch { /* */ }
+      }
+    });
+    if (added) {
+      attachVideoIfNeeded();
+      setStatus("Live");
+      videoRef.current?.play().catch(() => {});
+    }
+  }, [validateOpener]);
+
+  useEffect(() => {
+    if (typeof window === "undefined") return; // safety
+    attemptsRef.current = 0;
+    setStatus("Initializing…");
+
+    const tick = () => {
+      attemptsRef.current += 1;
+      if (!validateOpener()) {
+        clearIntervalInternal();
+        return;
+      }
+      // @ts-ignore
+      if (!window.opener.__comfystreamRemoteStream) {
+        setStatus("Parent stream ended");
+        clearIntervalInternal();
+        scheduleClose(1200);
+        return;
+      }
+      cloneTracks();
+      if (attemptsRef.current >= MAX_ATTEMPTS && (!localStreamRef.current || localStreamRef.current.getTracks().length === 0)) {
+        setStatus("Timeout waiting for stream");
+        clearIntervalInternal();
+        scheduleClose(1500);
+      }
+    };
+
+    intervalRef.current = window.setInterval(tick, POLL_INTERVAL_MS);
+    cloneTracks();
+
+    const beforeUnload = () => {
+      clearIntervalInternal();
+      localStreamRef.current?.getTracks().forEach(t => { try { t.stop(); } catch { /* */ } });
+    };
+    window.addEventListener("beforeunload", beforeUnload);
+    return () => {
+      window.removeEventListener("beforeunload", beforeUnload);
+      clearIntervalInternal();
+      localStreamRef.current?.getTracks().forEach(t => { try { t.stop(); } catch { /* */ } });
+    };
+  }, [cloneTracks, clearIntervalInternal, validateOpener, scheduleClose]);
+
+  return (
+    <div style={{
+      margin: 0,
+      background: "#000",
+      height: "100vh",
+      display: "flex",
+      alignItems: "center",
+      justifyContent: "center",
+      fontFamily: "sans-serif",
+      position: "relative"
+    }}>
+      <video
+        id="webrtc_preview"
+        ref={videoRef}
+        autoPlay
+        playsInline
+        muted
+        style={{ maxWidth: "100%", maxHeight: "100%", background: "#000" }}
+      />
+      <div id="status" style={{
+        color: "#0f0",
+        position: "absolute",
+        top: 6,
+        left: 8,
+        textAlign: "left",
+        font: "12px monospace",
+        textShadow: "0 0 4px #000"
+      }}>{status}</div>
+    </div>
+  );
+}
diff --git a/ui/src/components/room.tsx b/ui/src/components/room.tsx
index 85c6a8f8..df03ed50 100644
--- a/ui/src/components/room.tsx
+++ b/ui/src/components/room.tsx
@@ -178,12 +178,11 @@ interface StageProps {
   onStreamReady: () => void;
   onComfyUIReady: () => void;
   resolution: { width: number; height: number };
-  backendUrl: string;
   onOutputStreamReady: (stream: MediaStream | null) => void;
   prompts: Prompt[] | null;
 }
 
-function Stage({ connected, onStreamReady, onComfyUIReady, resolution, backendUrl, onOutputStreamReady, prompts }: StageProps) {
+function Stage({ connected, onStreamReady, onComfyUIReady, resolution, onOutputStreamReady, prompts }: StageProps) {
   const { remoteStream, peerConnection } = usePeerContext();
   const [frameRate, setFrameRate] = useState<number>(0);
   // Add state and refs for tracking frames
@@ -310,7 +309,7 @@ function Stage({ connected, onStreamReady, onComfyUIReady, resolution, backendUr
         </div>
       )}
       {/* Add StreamControlIcon at the bottom right corner of the video box */}
-      <StreamControl backendUrl={backendUrl} />
+  <StreamControl />
     </div>
   );
 }
@@ -598,7 +597,6 @@ export const Room = () => {
                 <Stage
                   connected={isConnected}
                   onStreamReady={onRemoteStreamReady}
-                  backendUrl={config.streamUrl || ""}
                   onComfyUIReady={onComfyUIReady}
                   resolution={config.resolution}
                   onOutputStreamReady={setOutputStream}
diff --git a/ui/src/components/stream-control.tsx b/ui/src/components/stream-control.tsx
index 3cd26583..e71e674f 100644
--- a/ui/src/components/stream-control.tsx
+++ b/ui/src/components/stream-control.tsx
@@ -1,95 +1,68 @@
 import * as React from "react";
-import { useState } from "react";
+import { useState, useCallback } from "react";
 
 interface StreamControlProps {
   className?: string;
-  backendUrl: string;
 }
 
-export function StreamControl({ className = "", backendUrl }: StreamControlProps) {
+export function StreamControl({ className = "" }: StreamControlProps) {
   const [isLoading, setIsLoading] = useState(false);
-  
-  // Generate the stream URL with a unique streamID from the server
-  const getStreamUrl = async (): Promise<string | null> => {
-    try {
-      // Validate backendUrl
-      if (!backendUrl) {
-        console.error("Backend URL is not configured.");
-        throw new Error("Backend URL is not configured in settings.");
-      }
 
-      // Parse base URL from the provided backendUrl
-      let baseUrl: string;
+  // Open popup which polls opener for stream and clones tracks locally (no postMessage MediaStream cloning)
+  const openWebRTCPopup = useCallback(() => {
+    const features = 'width=1024,height=1024';
+    const getBasePath = (): string => {
       try {
-        // The origin property gives us "http://hostname:port"
-        baseUrl = new URL(backendUrl).origin;
-      } catch (e) {
-        console.error("Invalid backend URL configured:", backendUrl, e);
-        throw new Error(`Invalid backend URL configured: ${backendUrl}`);
-      }
-      
-      // Check if we're in a hosted environment by looking at the current URL
-      // This might need adjustment depending on how hosted environments are detected
-      const isHosted = window.location.pathname.includes('/live');
-      const pathPrefix = isHosted ? '/live' : '';
-      
-      // Request a unique streamID from the server using the derived baseUrl
-      const response = await fetch(`${baseUrl}${pathPrefix}/api/stream-token`, {
-        method: 'POST',
-        headers: {
-          'Content-Type': 'application/json'
+        const scripts = document.querySelectorAll('script[src]');
+        for (const s of Array.from(scripts)) {
+          const src = (s as HTMLScriptElement).src;
+            // Look for /_next/static/ which precedes hashed chunks
+          const idx = src.indexOf('/_next/static/');
+          if (idx !== -1) {
+            const urlObj = new URL(src);
+            const before = urlObj.pathname.substring(0, urlObj.pathname.indexOf('/_next/static/'));
+            if (before !== undefined) {
+              return before.replace(/\/$/, '');
+            }
+          }
         }
-      });
-      
-      if (!response.ok) {
-        const errorData = await response.json().catch(() => ({}));
-        throw new Error(errorData.error || `Failed to get stream token: ${response.status}`);
-      }
-      
-      const data = await response.json();
-      const streamId = data.stream_id;
-      
-      // Return the URL with the unique streamID, using the derived baseUrl
-      // Note: Token will be removed from URL in a later step
-      return `${baseUrl}${pathPrefix}/stream.html?token=${streamId}`;
-    } catch (error) {
-      console.error('Error getting stream URL:', error);
-      return null;
-    }
-  };
-  
-  // Open the stream in a new window
-  const openStreamWindow = async () => {
-    try {
-      setIsLoading(true);
-      const streamUrl = await getStreamUrl();
-      
-      if (!streamUrl) {
-        throw new Error('Failed to get stream URL');
-      }
-      
-      const newWindow = window.open(streamUrl, 'ComfyStream OBS Capture', 'width=1024,height=1024');
-      
-      if (!newWindow) {
-        throw new Error('Failed to open stream window. Please check your popup blocker settings.');
-      }
-    } catch (error) {
-      console.error('Error opening stream window:', error);
-      alert(error instanceof Error ? error.message : 'Failed to open stream window. Please try again.');
-    } finally {
-      setIsLoading(false);
+      } catch { /* ignore */ }
+
+      try {
+        const { pathname } = window.location;
+        // If pathname points to a file (no trailing slash and contains a dot), strip file portion
+        if (/\.[a-zA-Z0-9]{2,8}$/.test(pathname.split('/').pop() || '')) {
+          const parts = pathname.split('/');
+          parts.pop();
+          return parts.join('/') || '/';
+        }
+        return pathname.replace(/\/$/, '');
+      } catch { /* ignore */ }
+
+      return '';
+    };
+
+  const basePath = getBasePath();
+  const isDev = process.env.NEXT_PUBLIC_DEV === 'true';
+  const previewPath = (basePath ? basePath : '') + (isDev ? '/webrtc-preview' : '/webrtc-preview.html');
+
+    const popup = window.open(previewPath, 'comfystream_preview', features) || window.open(previewPath);
+    if (!popup) {
+      alert('Popup blocked. Please allow popups for this site.');
     }
+  }, []);
+
+  const openStreamWindow = () => {
+    openWebRTCPopup();
   };
 
   return (
     <button 
-      onClick={openStreamWindow}
-      // Disable only when loading
-      disabled={isLoading} 
-      className={`absolute bottom-4 right-4 z-10 p-2 bg-black/50 hover:bg-black/70 text-white rounded-full transition-colors ${className} ${isLoading ? 'opacity-50 cursor-wait' : ''}`}
-      // Restore original title
-      title={"Open stream for OBS capture"} 
-      aria-label="Cast to external display"
+  onClick={openStreamWindow}
+  disabled={isLoading}
+  className={`absolute bottom-4 right-4 z-10 p-2 bg-black/50 hover:bg-black/70 text-white rounded-full transition-colors ${className}`}
+  title={"Open WebRTC preview (cloned tracks)"} 
+  aria-label="Open WebRTC preview"
     >
       <svg 
         xmlns="http://www.w3.org/2000/svg" 
diff --git a/ui/src/hooks/use-peer.ts b/ui/src/hooks/use-peer.ts
index 572bd58a..f2db79de 100644
--- a/ui/src/hooks/use-peer.ts
+++ b/ui/src/hooks/use-peer.ts
@@ -170,7 +170,14 @@ export function usePeer(props: PeerProps): Peer {
 
       pc.ontrack = (event) => {
         if (event.streams && event.streams[0]) {
-          setRemoteStream(event.streams[0]);
+          const inbound = event.streams[0];
+            // Only update if different (avoid overwriting during renegotiation repeats)
+          setRemoteStream(inbound);
+          try {
+            (window as any).__comfystreamRemoteStream = inbound;
+          } catch (e) {
+            console.warn("Failed to set global remote stream", e);
+          }
         }
       };
 
@@ -186,7 +193,16 @@ export function usePeer(props: PeerProps): Peer {
       };
 
       pc.onconnectionstatechange = () => {
-        handleConnectionStateChange(pc.connectionState);
+        const state = pc.connectionState;
+        handleConnectionStateChange(state);
+        if (state === 'failed' || state === 'disconnected' || state === 'closed') {
+          // Clear global reference so preview popups know stream has ended.
+          try {
+            if ((window as any).__comfystreamRemoteStream) {
+              delete (window as any).__comfystreamRemoteStream;
+            }
+          } catch { /* noop */ }
+        }
       };
 
       const createOffer = async () => {
@@ -206,6 +222,12 @@ export function usePeer(props: PeerProps): Peer {
       setDataChannel(null);
       setRemoteStream(null);
       setPeerConnection(null);
+      // Also clear global on explicit disconnect.
+      try {
+        if ((window as any).__comfystreamRemoteStream) {
+          delete (window as any).__comfystreamRemoteStream;
+        }
+      } catch { /* noop */ }
     }
   }, [
     connect,

From 89c66bbcdc02294e319b13a6fa91072072ae3ce0 Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Mon, 29 Sep 2025 10:23:49 -0400
Subject: [PATCH 15/19] models: use taesd safetensors instead of pth for
 performance (#440)

---
 configs/models.yaml | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/configs/models.yaml b/configs/models.yaml
index be3fce6b..bbcf0cdc 100644
--- a/configs/models.yaml
+++ b/configs/models.yaml
@@ -29,19 +29,19 @@ models:
   # TAESD models
   taesd:
     name: "TAESD"
-    url: "https://raw.githubusercontent.com/madebyollin/taesd/main/taesd_decoder.pth"
-    path: "vae_approx/taesd_decoder.pth"
+    url: "https://huggingface.co/madebyollin/taesd/resolve/main/taesd_decoder.safetensors"
+    path: "vae_approx/taesd_decoder.safetensors"
     type: "vae_approx"
     extra_files:
-      - url: "https://raw.githubusercontent.com/madebyollin/taesd/main/taesd_encoder.pth"
-        path: "vae_approx/taesd_encoder.pth"
+      - url: "https://huggingface.co/madebyollin/taesd/resolve/main/taesd_encoder.safetensors"
+        path: "vae_approx/taesd_encoder.safetensors"
 
   # ControlNet models
   controlnet-depth:
     name: "ControlNet Depth"
     url: "https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors"
     path: "controlnet/control_v11f1p_sd15_depth_fp16.safetensors"
-    type: "controlnet" 
+    type: "controlnet"
 
   controlnet-mediapipe-face:
     name: "ControlNet MediaPipe Face"
@@ -152,4 +152,4 @@ models:
     name: "SD-Turbo"
     url: "https://huggingface.co/stabilityai/sd-turbo/resolve/main/sd_turbo.safetensors"
     path: "checkpoints/SD1.5/sd_turbo.safetensors"
-    type: "checkpoint"
\ No newline at end of file
+    type: "checkpoint"

From c2bf2e0ccd12e559fba9411e8b245a10daaaa347 Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Mon, 29 Sep 2025 12:46:44 -0400
Subject: [PATCH 16/19] bump comfyui, add comfyui manager, blacklist loading
 for performance (#439)

---
 docker/Dockerfile.base    | 4 +++-
 pyproject.toml            | 2 +-
 requirements.txt          | 2 +-
 server/app.py             | 1 +
 server/frame_processor.py | 1 +
 5 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index 00c21455..878f4c9b 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -66,7 +66,8 @@ RUN conda run -n comfystream pip install --no-cache-dir \
     ${TensorRT_ROOT}/python/tensorrt-10.12.0.36-cp312-none-linux_x86_64.whl
 
 # Clone ComfyUI
-RUN git clone --branch v0.3.56 --depth 1 https://github.com/comfyanonymous/ComfyUI.git /workspace/ComfyUI
+RUN git clone --branch v0.3.60 --depth 1 https://github.com/comfyanonymous/ComfyUI.git /workspace/ComfyUI
+RUN git clone https://github.com/Comfy-Org/ComfyUI-Manager.git /workspace/ComfyUI/custom_nodes/ComfyUI-Manager
 
 # Copy ComfyStream files into ComfyUI
 COPY . /workspace/comfystream
@@ -83,6 +84,7 @@ RUN conda run -n comfystream --no-capture-output --cwd /workspace/comfystream --
 
 # Install ComfyUI requirements
 RUN conda run -n comfystream --no-capture-output --cwd /workspace/ComfyUI pip install -r requirements.txt --root-user-action=ignore
+RUN cd /workspace/ComfyUI/custom_nodes/ComfyUI-Manager && pip install -r requirements.txt
 
 # Install ComfyStream requirements
 RUN ln -s /workspace/comfystream /workspace/ComfyUI/custom_nodes/comfystream
diff --git a/pyproject.toml b/pyproject.toml
index 50e59935..83db782a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,7 +10,7 @@ license = { file = "LICENSE" }
 dependencies = [
     "asyncio",
     "pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6",
-    "comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@58622c7e91cb5cc2bca985d713db55e5681ff316",
+    "comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@e62df3a8811d8c652a195d4669f4fb27f6c9a9ba",
     "aiortc",
     "aiohttp",
     "aiohttp_cors",
diff --git a/requirements.txt b/requirements.txt
index 790900bb..3c2a1c27 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,6 +1,6 @@
 asyncio
 pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6
-comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@58622c7e91cb5cc2bca985d713db55e5681ff316
+comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@e62df3a8811d8c652a195d4669f4fb27f6c9a9ba
 aiortc
 aiohttp
 aiohttp_cors
diff --git a/server/app.py b/server/app.py
index b496a458..46f39ebb 100644
--- a/server/app.py
+++ b/server/app.py
@@ -561,6 +561,7 @@ async def on_startup(app: web.Application):
         gpu_only=True, 
         preview_method='none',
         comfyui_inference_log_level=app.get("comfui_inference_log_level", None),
+		blacklist_nodes=["ComfyUI-Manager"]
     )
     app["pcs"] = set()
     app["video_tracks"] = {}
diff --git a/server/frame_processor.py b/server/frame_processor.py
index 65d1c0ac..39272313 100644
--- a/server/frame_processor.py
+++ b/server/frame_processor.py
@@ -162,6 +162,7 @@ async def load_model(self, **kwargs):
                 gpu_only=params.get('gpu_only', True),
                 preview_method=params.get('preview_method', 'none'),
                 comfyui_inference_log_level=params.get('comfyui_inference_log_level'),
+                blacklist_nodes=["ComfyUI-Manager"]
             )
 
     async def warmup(self):

From 95f90d8a4b02b98a98733f9c70f0d6ed145432fd Mon Sep 17 00:00:00 2001
From: John | Elite Encoder <john@eliteencoder.net>
Date: Tue, 30 Sep 2025 13:40:13 -0400
Subject: [PATCH 17/19] chore(deps): bump pytrickle 0.1.4, replace deprecated
 pynvml with nvidia-ml-py (#453)

* chore(deps): bump pytrickle==v0.1.4
* requirements: replace pynvml with nvidia-ml-py due to deprecation warning
---
 pyproject.toml           | 2 +-
 requirements.txt         | 2 +-
 scripts/requirements.txt | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 83db782a..0caa8f66 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,7 +9,7 @@ version = "0.1.5"
 license = { file = "LICENSE" }
 dependencies = [
     "asyncio",
-    "pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6",
+    "pytrickle @ git+https://github.com/livepeer/pytrickle.git@v0.1.4",
     "comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@e62df3a8811d8c652a195d4669f4fb27f6c9a9ba",
     "aiortc",
     "aiohttp",
diff --git a/requirements.txt b/requirements.txt
index 3c2a1c27..b35bb52c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 asyncio
-pytrickle @ git+https://github.com/livepeer/pytrickle.git@de37bea74679fa5db46b656a83c9b7240fc597b6
+pytrickle @ git+https://github.com/livepeer/pytrickle.git@v0.1.4
 comfyui @ git+https://github.com/hiddenswitch/ComfyUI.git@e62df3a8811d8c652a195d4669f4fb27f6c9a9ba
 aiortc
 aiohttp
diff --git a/scripts/requirements.txt b/scripts/requirements.txt
index 6ea80ee2..eb7cee7f 100644
--- a/scripts/requirements.txt
+++ b/scripts/requirements.txt
@@ -8,4 +8,4 @@ bcrypt
 rich
 # Profiler
 psutil
-pynvml
+nvidia-ml-py

From 6ce5ef9266c025f99b0d7de5a54ac5bd506996a2 Mon Sep 17 00:00:00 2001
From: Jason <83615043+JJassonn69@users.noreply.github.com>
Date: Tue, 30 Sep 2025 20:41:55 +0300
Subject: [PATCH 18/19] Chore/update workflow manual (#457)

* Update OpenCV CUDA workflow to manual
---
 .github/workflows/opencv-cuda-artifact.yml | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/.github/workflows/opencv-cuda-artifact.yml b/.github/workflows/opencv-cuda-artifact.yml
index 5572d09e..c5deab07 100644
--- a/.github/workflows/opencv-cuda-artifact.yml
+++ b/.github/workflows/opencv-cuda-artifact.yml
@@ -1,18 +1,6 @@
 name: Build OpenCV CUDA Artifact
 
 on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'docker/Dockerfile.opencv'
-      - 'docker/Dockerfile.base'
-  pull_request:
-    branches:
-      - main
-    paths:
-      - 'docker/Dockerfile.opencv'
-      - 'docker/Dockerfile.base'
   workflow_dispatch:
     inputs:
       python_version:

From 359593a9efbfd9045b2e991b544152af70f805c4 Mon Sep 17 00:00:00 2001
From: Jason <83615043+JJassonn69@users.noreply.github.com>
Date: Tue, 30 Sep 2025 23:45:35 +0300
Subject: [PATCH 19/19] Bump version to 0.1.6 in pyproject.toml,
 package-lock.json, and package.json (#458)

---
 pyproject.toml       | 2 +-
 ui/package-lock.json | 4 ++--
 ui/package.json      | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 0caa8f66..ecf846f7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "comfystream"
 description = "Build Live AI Video with ComfyUI"
-version = "0.1.5"
+version = "0.1.6"
 license = { file = "LICENSE" }
 dependencies = [
     "asyncio",
diff --git a/ui/package-lock.json b/ui/package-lock.json
index 0938cc8b..ca977d80 100644
--- a/ui/package-lock.json
+++ b/ui/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "ui",
-  "version": "0.1.5",
+  "version": "0.1.6",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "ui",
-      "version": "0.1.5",
+      "version": "0.1.6",
       "dependencies": {
         "@hookform/resolvers": "^3.9.1",
         "@radix-ui/react-dialog": "^1.1.6",
diff --git a/ui/package.json b/ui/package.json
index 666c6a5f..fc4435e6 100644
--- a/ui/package.json
+++ b/ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "ui",
-  "version": "0.1.5",
+  "version": "0.1.6",
   "private": true,
   "scripts": {
     "dev": "cross-env NEXT_PUBLIC_DEV=true next dev",