From a101f6142dc2839a0d497dd91f005e3cc91060f9 Mon Sep 17 00:00:00 2001
From: aoirint <aoirint@gmail.com>
Date: Thu, 20 Aug 2026 21:18:21 +0900
Subject: [PATCH 1/4] build: refresh dependencies and release v0.3.2

Update the cooldown-eligible runtime and Python dependencies, document the
bundled CUDA license, and promote the canonical release version.

Refs: #121
Co-authored-by: Codex <noreply@openai.com>
---
 CHANGELOG.md           | 20 ++++++++++++++-
 Dockerfile             |  4 +--
 README.md              |  8 ++++++
 THIRD_PARTY_NOTICES.md |  9 +++++++
 VERSION                |  2 +-
 uv.lock                | 55 ++++++++++++++++++++++++++++--------------
 6 files changed, 76 insertions(+), 22 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 903ba79..08307f2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,6 +9,22 @@ releases.
 
 ## [Unreleased]
 
+## [v0.3.2] - 2026-08-20 UTC
+
+### Changed
+
+- Update the runtime CA certificate bundle to the current Ubuntu 24.04
+  security-update version.
+- Update the locked `charset-normalizer` dependency from 3.4.9 to 3.5.0.
+- Document the NVIDIA CUDA container license included in the published image.
+
+### Notes
+
+- Continue to bundle sd-scripts v0.11.1 with Python 3.10 and the CUDA 12.9
+  dependency stack.
+- GitHub Actions, uv, Python, CUDA, hadolint, and APM remain at their latest
+  reviewed versions that completed the seven-day cooldown.
+
 ## [v0.3.1] - 2026-07-26 UTC
 
 ### Fixed
@@ -238,7 +254,9 @@ releases.
 - Add the first GitHub Actions build workflow and disk cleanup step.
 - Add initial ignore rules for local work directories.
 
-[Unreleased]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.0...HEAD
+[Unreleased]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.2...HEAD
+[v0.3.2]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.1...v0.3.2
+[v0.3.1]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.0...v0.3.1
 [v0.3.0]: https://github.com/aoirint/sd_scripts_docker/compare/v0.2.0...v0.3.0
 [v0.2.0]: https://github.com/aoirint/sd_scripts_docker/compare/v0.1.0...v0.2.0
 [v0.1.0]: https://github.com/aoirint/sd_scripts_docker/releases/tag/v0.1.0
diff --git a/Dockerfile b/Dockerfile
index a821526..dfc48ac 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -30,7 +30,7 @@ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
     apt-get update
 
     apt-get install -y --no-install-recommends \
-        ca-certificates=20240203 \
+        ca-certificates=20260601~24.04.1 \
         git=1:2.43.0-1ubuntu7.3
 SH
 
@@ -74,7 +74,7 @@ RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
     apt-get update
 
     apt-get install -y --no-install-recommends \
-        ca-certificates=20240203 \
+        ca-certificates=20260601~24.04.1 \
         libgl1=1.7.0-1build1 \
         libglib2.0-0t64=2.80.0-6ubuntu3.8 \
         tk=8.6.14build1
diff --git a/README.md b/README.md
index 78bd431..76c1ff6 100644
--- a/README.md
+++ b/README.md
@@ -177,3 +177,11 @@ specified by `SD_SCRIPTS_VERSION` in the Dockerfile. sd-scripts is primarily
 licensed under the Apache License 2.0, with some portions under separate license
 terms. See [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) and the upstream
 license information for details.
+
+The image also uses the
+[NVIDIA CUDA container image](https://hub.docker.com/r/nvidia/cuda) specified by
+`CUDA_RUNTIME_IMAGE` in the Dockerfile. Its container license is included at
+`/NGC-DL-CONTAINER-LICENSE` in the published image. See
+[THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md) and the
+NVIDIA Deep Learning Container License:
+<https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf>.
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
index bfe6f41..97d1fbf 100644
--- a/THIRD_PARTY_NOTICES.md
+++ b/THIRD_PARTY_NOTICES.md
@@ -2,6 +2,15 @@
 
 This project builds Docker images that include third-party software.
 
+## NVIDIA CUDA container image
+
+- Source: <https://hub.docker.com/r/nvidia/cuda>
+- Base image: see `CUDA_RUNTIME_IMAGE` in `Dockerfile`
+- Bundled location in image: `/usr/local/cuda-12.9`
+- License: NVIDIA Deep Learning Container License
+  <https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf>
+- License file in image: `/NGC-DL-CONTAINER-LICENSE`
+
 ## kohya-ss/sd-scripts
 
 - Source: <https://github.com/kohya-ss/sd-scripts>
diff --git a/VERSION b/VERSION
index 9e11b32..d15723f 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-0.3.1
+0.3.2
diff --git a/uv.lock b/uv.lock
index cb695cf..f4c5bd7 100644
--- a/uv.lock
+++ b/uv.lock
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 ]
 
 [[package]]

From 3ed52fe86889597c7fa755b81bf54518229580ad Mon Sep 17 00:00:00 2001
From: aoirint <aoirint@gmail.com>
Date: Thu, 20 Aug 2026 21:27:12 +0900
Subject: [PATCH 2/4] build: update patched CUDA and ML stack

Move to CUDA 13.3.1, PyTorch 2.13, and ONNX 1.22 so the release uses
compatible versions containing the available advisory fixes.

Refs: #121
Co-authored-by: Codex <noreply@openai.com>
---
 CHANGELOG.md              |  14 +-
 Dockerfile                |   6 +-
 THIRD_PARTY_NOTICES.md    |   2 +-
 docs/update-sd-scripts.md |  34 ++---
 pyproject.toml            |  18 +--
 uv.lock                   | 288 +++++++++++++++++++++++++-------------
 6 files changed, 229 insertions(+), 133 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 08307f2..21865cb 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,15 +13,25 @@ releases.
 
 ### Changed
 
+- Update the NVIDIA CUDA runtime image from 12.9.1 to 13.3.1.
+- Update the PyTorch stack from PyTorch 2.8.0, torchvision 0.23.0, and
+  xformers 0.0.32.post2 on CUDA 12.9 to PyTorch 2.13.0, torchvision 0.28.0,
+  and xformers 0.0.35 on CUDA 13.0.
+- Update ONNX from 1.21.0 to 1.22.0.
 - Update the runtime CA certificate bundle to the current Ubuntu 24.04
   security-update version.
 - Update the locked `charset-normalizer` dependency from 3.4.9 to 3.5.0.
 - Document the NVIDIA CUDA container license included in the published image.
 
+### Security
+
+- Update ONNX and PyTorch to versions containing the available fixes for the
+  repository's current Dependabot advisories.
+
 ### Notes
 
-- Continue to bundle sd-scripts v0.11.1 with Python 3.10 and the CUDA 12.9
-  dependency stack.
+- Continue to bundle sd-scripts v0.11.1 with Python 3.10 and the refreshed
+  CUDA 13 dependency stack.
 - GitHub Actions, uv, Python, CUDA, hadolint, and APM remain at their latest
   reviewed versions that completed the seven-day cooldown.
 
diff --git a/Dockerfile b/Dockerfile
index dfc48ac..01a6474 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 # syntax=docker/dockerfile:1
 
-ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04@sha256:d02c4310b6d57ca0b16cd80298bdb33a74187baafe2eccd8a6a16180ddc90802
+ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:13.3.1-cudnn-runtime-ubuntu24.04@sha256:2c9730db1d78ce3a7503a2f4ff2d64add3e7d1a47d57da504376192dda335242
 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.12.3@sha256:2d890623d310b57771ce840f0da5eed5fc6d657da05ffaa45d82797b53fa3abc
 ARG PYTHON_VERSION=3.10.19
 ARG SD_SCRIPTS_URL=https://github.com/kohya-ss/sd-scripts
@@ -91,8 +91,8 @@ WORKDIR /opt/sd-scripts
 # https://github.com/aoirint/sd-scripts-docker/issues/19
 RUN <<'SH'
     ln -s \
-        /usr/local/cuda-12.9/targets/x86_64-linux/lib/libnvrtc.so.12 \
-        /usr/local/cuda-12.9/targets/x86_64-linux/lib/libnvrtc.so
+        /usr/local/cuda-13.3/targets/x86_64-linux/lib/libnvrtc.so.13 \
+        /usr/local/cuda-13.3/targets/x86_64-linux/lib/libnvrtc.so
 SH
 
 # Install project and Pre-compile Python bytecode
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
index 97d1fbf..63527ea 100644
--- a/THIRD_PARTY_NOTICES.md
+++ b/THIRD_PARTY_NOTICES.md
@@ -6,7 +6,7 @@ This project builds Docker images that include third-party software.
 
 - Source: <https://hub.docker.com/r/nvidia/cuda>
 - Base image: see `CUDA_RUNTIME_IMAGE` in `Dockerfile`
-- Bundled location in image: `/usr/local/cuda-12.9`
+- Bundled location in image: `/usr/local/cuda-13.3`
 - License: NVIDIA Deep Learning Container License
   <https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf>
 - License file in image: `/NGC-DL-CONTAINER-LICENSE`
diff --git a/docs/update-sd-scripts.md b/docs/update-sd-scripts.md
index 615e118..1a3879d 100644
--- a/docs/update-sd-scripts.md
+++ b/docs/update-sd-scripts.md
@@ -131,44 +131,44 @@ wheel depends on the CUDA target. Read the selected upstream README and choose
 the PyTorch stack that matches this image's supported GPU generation.
 
 For RTX 50 series support, use the upstream-recommended PyTorch and CUDA line
-when available. For example, PyTorch 2.8.0 with CUDA 12.9 uses:
+when available. For example, PyTorch 2.13.0 with CUDA 13.0 uses:
 
 ```toml
-"torch==2.8.0+cu129",
-"torchvision==0.23.0+cu129",
-"xformers==0.0.32.post2",
+"torch==2.13.0+cu130",
+"torchvision==0.28.0+cu130",
+"xformers==0.0.35",
 ```
 
 and:
 
 ```toml
 [[tool.uv.index]]
-name = "pytorch-cu129"
-url = "https://download.pytorch.org/whl/cu129"
+name = "pytorch-cu130"
+url = "https://download.pytorch.org/whl/cu130"
 explicit = true
 
 [tool.uv.sources]
-torch = { index = "pytorch-cu129" }
-torchvision = { index = "pytorch-cu129" }
-xformers = { index = "pytorch-cu129" }
+torch = { index = "pytorch-cu130" }
+torchvision = { index = "pytorch-cu130" }
+xformers = { index = "pytorch-cu130" }
 ```
 
 Before locking, confirm that the selected wheels exist for Python 3.10 and
 Linux x86_64:
 
 ```shell
-curl -fsSL https://download.pytorch.org/whl/cu129/torch/ | \
-  rg 'torch-2\.8\.0\+cu129-cp310-cp310-.*x86_64'
+curl -fsSL https://download.pytorch.org/whl/cu130/torch/ | \
+  rg 'torch-2\.13\.0\+cu130-cp310-cp310-.*x86_64'
 
-curl -fsSL https://download.pytorch.org/whl/cu129/torchvision/ | \
-  rg 'torchvision-0\.23\.0\+cu129-cp310-cp310-.*x86_64'
+curl -fsSL https://download.pytorch.org/whl/cu130/torchvision/ | \
+  rg 'torchvision-0\.28\.0\+cu130-cp310-cp310-.*x86_64'
 
-curl -fsSL https://download.pytorch.org/whl/cu129/xformers/ | \
-  rg 'xformers-0\.0\.32\.post2-.*x86_64'
+curl -fsSL https://download.pytorch.org/whl/cu130/xformers/ | \
+  rg 'xformers-0\.0\.35-.*x86_64'
 ```
 
-If the upstream README recommends a different CUDA line, replace `cu129`,
-package versions, and the `pytorch-cu129` index name consistently.
+If the upstream README recommends a different CUDA line, replace `cu130`,
+package versions, and the `pytorch-cu130` index name consistently.
 
 ## 5. Update The Dockerfile
 
diff --git a/pyproject.toml b/pyproject.toml
index f701f26..7a0a3da 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ dependencies = [
   "timm==0.6.12",
   "fairscale==0.4.13",
   # for WD14 captioning (onnx)
-  "onnx==1.21.0",
+  "onnx==1.22.0",
   "onnxruntime-gpu==1.23.2",
   # open clip for SDXL
   "open-clip-torch==2.26.1",
@@ -40,9 +40,9 @@ dependencies = [
   # for T5XXL tokenizer (SD3/FLUX)
   "sentencepiece==0.2.1",
   # PyTorch
-  "torch==2.8.0+cu129",
-  "torchvision==0.23.0+cu129",
-  "xformers==0.0.32.post2",
+  "torch==2.13.0+cu130",
+  "torchvision==0.28.0+cu130",
+  "xformers==0.0.35",
   # Additional bundle
   # https://github.com/KohakuBlueleaf/LyCORIS
   "lycoris-lora==3.1.1.post1",
@@ -53,14 +53,14 @@ package = false
 exclude-newer = "P7D"
 
 [[tool.uv.index]]
-name = "pytorch-cu129"
-url = "https://download.pytorch.org/whl/cu129"
+name = "pytorch-cu130"
+url = "https://download.pytorch.org/whl/cu130"
 explicit = true
 
 [tool.uv.sources]
-torch = { index = "pytorch-cu129" }
-torchvision = { index = "pytorch-cu129" }
-xformers = { index = "pytorch-cu129" }
+torch = { index = "pytorch-cu130" }
+torchvision = { index = "pytorch-cu130" }
+xformers = { index = "pytorch-cu130" }
 
 [dependency-groups]
 dev = [
diff --git a/uv.lock b/uv.lock
index f4c5bd7..8a9d1b4 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,11 +2,9 @@ version = 1
 revision = 3
 requires-python = "==3.10.*"
 resolution-markers = [
-    "platform_machine != 's390x' and sys_platform == 'darwin'",
+    "sys_platform == 'darwin'",
     "platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "(platform_machine != 'aarch64' and platform_machine != 's390x' and sys_platform == 'linux') or (platform_machine != 's390x' and sys_platform != 'darwin' and sys_platform != 'linux')",
-    "platform_machine == 's390x' and sys_platform == 'darwin'",
-    "platform_machine == 's390x' and sys_platform != 'darwin'",
+    "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')",
 ]
 
 [options]
@@ -151,6 +149,75 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a7/06/3d6badcf13db419e25b07041d9c7b4a2c331d3f4e7134445ec5df57714cd/coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934", size = 46018, upload-time = "2021-06-11T10:22:42.561Z" },
 ]
 
+[[package]]
+name = "cuda-bindings"
+version = "13.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cuda-pathfinder" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a9/21/8464d133752951c154feafb3b65c297e7d80f301183d220bec4c830f1441/cuda_bindings-13.3.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:120fcc53d57903df529c3486962c56528cba5b7d6c57c99537320ed9922c8b86", size = 6073403, upload-time = "2026-05-29T23:11:36.22Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/1f/5ef51f5fbaa5d4d3201bb3d7555af028ec1aa4416275ccbf73c9e34e3d2d/cuda_bindings-13.3.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9851b0caa8bfd3bc6fa054eaf57bea7c8e9c3a62db2d2621224677f49f3c53d0", size = 6675244, upload-time = "2026-05-29T23:11:38.664Z" },
+]
+
+[[package]]
+name = "cuda-pathfinder"
+version = "1.6.0"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fc/b4/d088047afe39827556df21118cac9ffd20cc3f968c99a7681494d1eb333c/cuda_pathfinder-1.6.0-py3-none-any.whl", hash = "sha256:1503af579d8379c24bdd65528379bc57039b0455be9f5f9686cf8e473a1fce51", size = 54591, upload-time = "2026-07-21T15:03:56.224Z" },
+]
+
+[[package]]
+name = "cuda-toolkit"
+version = "13.0.3.0"
+source = { registry = "https://pypi.org/simple" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d1/c7/a79086a62c98befcdb8349656c6f114e2db3b8b2422f6e25c97a7f2a9a3c/cuda_toolkit-13.0.3.0-py2.py3-none-any.whl", hash = "sha256:d693caaa261214ddd7dbb60d68e71cbed884e68c2be7509778f3051da0b91c3f", size = 2512, upload-time = "2026-04-14T00:50:08.173Z" },
+]
+
+[package.optional-dependencies]
+cublas = [
+    { name = "nvidia-cublas", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cuda-nvrtc", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cudart = [
+    { name = "nvidia-cuda-runtime", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cufft = [
+    { name = "nvidia-cufft", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cufile = [
+    { name = "nvidia-cufile", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cupti = [
+    { name = "nvidia-cuda-cupti", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+curand = [
+    { name = "nvidia-curand", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cusolver = [
+    { name = "nvidia-cublas", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cusolver", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-cusparse", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+cusparse = [
+    { name = "nvidia-cusparse", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+nvjitlink = [
+    { name = "nvidia-nvjitlink", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+nvrtc = [
+    { name = "nvidia-cuda-nvrtc", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+nvtx = [
+    { name = "nvidia-nvtx", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" },
+]
+
 [[package]]
 name = "diffusers"
 version = "0.38.0"
@@ -532,134 +599,160 @@ wheels = [
 ]
 
 [[package]]
-name = "nvidia-cublas-cu12"
-version = "12.9.1.4"
+name = "nvidia-cublas"
+version = "13.1.1.3"
 source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "nvidia-cuda-nvrtc" },
+]
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 wheels = [
-    { url = "https://download-r2.pytorch.org/whl/cu129/torchvision-0.23.0%2Bcu129-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:5690810877f2d7d1a2b432e31d68d4a9ccbb695a9a8fa0e27bbad44c6a90a181", upload-time = "2025-08-05T20:11:52Z" },
-    { url = "https://download-r2.pytorch.org/whl/cu129/torchvision-0.23.0%2Bcu129-cp310-cp310-win_amd64.whl", hash = "sha256:eaec7f8dd6f50f7516d4290c865ef4c9149034983523ebed83ebbd6023b5bf72", upload-time = "2025-08-05T20:11:52Z" },
+    { url = "https://download-r2.pytorch.org/whl/cu130/torchvision-0.28.0%2Bcu130-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:a01d1ae4d6498cb0cdecc7f3ddba16471a5a43fa57039f7f6862ca0531bcfa7c", upload-time = "2026-07-08T12:26:51Z" },
+    { url = "https://download-r2.pytorch.org/whl/cu130/torchvision-0.28.0%2Bcu130-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:19c2d18bbc8c3b1a666f0d41f91d8f624f912faffad421371061dddda52ba8ea", upload-time = "2026-07-08T12:26:51Z" },
+    { url = "https://download-r2.pytorch.org/whl/cu130/torchvision-0.28.0%2Bcu130-cp310-cp310-win_amd64.whl", upload-time = "2026-07-08T12:26:51Z" },
 ]
 
 [[package]]
@@ -1271,13 +1359,11 @@ wheels = [
 
 [[package]]
 name = "triton"
-version = "3.4.0"
+version = "3.7.1"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "setuptools" },
-]
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/62/ee/0ee5f64a87eeda19bbad9bc54ae5ca5b98186ed00055281fd40fb4beb10e/triton-3.4.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ff2785de9bc02f500e085420273bb5cc9c9bb767584a4aa28d6e360cec70128", size = 155430069, upload-time = "2025-07-30T19:58:21.715Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/ea/629cc37436ca5df93ce98956d09cd2ca1498bfee8ef4972d2fe48b9f958c/triton-3.7.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3daf64305d6cea88d3334c65ebc9bcd0c64c9564a977084366aa768d57cbcf64", size = 184551013, upload-time = "2026-06-17T20:03:37.551Z" },
+    { url = "https://files.pythonhosted.org/packages/15/76/c79c34311625227a288df3e483fc5cdf3d596624cbd4b4758c4cbdc14af3/triton-3.7.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ee89fbf782ec2ad50391dd1cf26cbea4f4467154c37f4773026da8fc31c0f58e", size = 197596267, upload-time = "2026-06-17T19:53:06.898Z" },
 ]
 
 [[package]]
@@ -1345,15 +1431,15 @@ wheels = [
 
 [[package]]
 name = "xformers"
-version = "0.0.32.post2"
-source = { registry = "https://download.pytorch.org/whl/cu129" }
+version = "0.0.35"
+source = { registry = "https://download.pytorch.org/whl/cu130" }
 dependencies = [
     { name = "numpy" },
     { name = "torch" },
 ]
 wheels = [
-    { url = "https://download.pytorch.org/whl/cu129/xformers-0.0.32.post2-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:f803c3c80d3d09718e39dbc84a606c06602dde39e5d73b90654cd38c6492b59b", upload-time = "2026-04-27T19:01:03Z" },
-    { url = "https://download.pytorch.org/whl/cu129/xformers-0.0.32.post2-cp39-abi3-win_amd64.whl", hash = "sha256:82d7fb63cb9f61b0557238d1e2edccec4849c8199f626b186b2e6e9896691161", upload-time = "2026-04-27T19:01:11Z" },
+    { url = "https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-manylinux_2_28_x86_64.whl", hash = "sha256:962eb73f7243fb6a6b68ed85ed8f97780070ee35c1be464eefe3299b0382391d", upload-time = "2026-04-27T20:28:11Z" },
+    { url = "https://download.pytorch.org/whl/cu130/xformers-0.0.35-py39-none-win_amd64.whl", hash = "sha256:517d5a92d0b08393185f02580cf03ad17e9db12d739fc21e790ed1393df85cf4", upload-time = "2026-04-27T20:28:12Z" },
 ]
 
 [[package]]

From eff86378d84829747e836a5043be4699a4629b35 Mon Sep 17 00:00:00 2001
From: aoirint <aoirint@gmail.com>
Date: Thu, 20 Aug 2026 21:39:21 +0900
Subject: [PATCH 3/4] build: preserve ONNX Runtime GPU compatibility

Retain the CUDA 12.9.1 runtime base required by the ONNX Runtime GPU wheel
while PyTorch and xformers use their bundled CUDA 13.0 wheel libraries.
Document the full GPU validation path that covers the previous WD14 startup
regression.

Refs: #121
Co-authored-by: Codex <noreply@openai.com>
---
 CHANGELOG.md              |  6 +++---
 Dockerfile                |  6 +++---
 THIRD_PARTY_NOTICES.md    |  2 +-
 docs/update-sd-scripts.md | 28 ++++++++++++++++++++++++++++
 4 files changed, 35 insertions(+), 7 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 21865cb..5f94228 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,7 +13,6 @@ releases.
 
 ### Changed
 
-- Update the NVIDIA CUDA runtime image from 12.9.1 to 13.3.1.
 - Update the PyTorch stack from PyTorch 2.8.0, torchvision 0.23.0, and
   xformers 0.0.32.post2 on CUDA 12.9 to PyTorch 2.13.0, torchvision 0.28.0,
   and xformers 0.0.35 on CUDA 13.0.
@@ -30,8 +29,9 @@ releases.
 
 ### Notes
 
-- Continue to bundle sd-scripts v0.11.1 with Python 3.10 and the refreshed
-  CUDA 13 dependency stack.
+- Continue to bundle sd-scripts v0.11.1 with Python 3.10. Retain the CUDA
+  12.9.1 base image for ONNX Runtime GPU compatibility while PyTorch and
+  xformers use their CUDA 13.0 wheel builds.
 - GitHub Actions, uv, Python, CUDA, hadolint, and APM remain at their latest
   reviewed versions that completed the seven-day cooldown.
 
diff --git a/Dockerfile b/Dockerfile
index 01a6474..dfc48ac 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 # syntax=docker/dockerfile:1
 
-ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:13.3.1-cudnn-runtime-ubuntu24.04@sha256:2c9730db1d78ce3a7503a2f4ff2d64add3e7d1a47d57da504376192dda335242
+ARG CUDA_RUNTIME_IMAGE=nvidia/cuda:12.9.1-cudnn-runtime-ubuntu24.04@sha256:d02c4310b6d57ca0b16cd80298bdb33a74187baafe2eccd8a6a16180ddc90802
 ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.12.3@sha256:2d890623d310b57771ce840f0da5eed5fc6d657da05ffaa45d82797b53fa3abc
 ARG PYTHON_VERSION=3.10.19
 ARG SD_SCRIPTS_URL=https://github.com/kohya-ss/sd-scripts
@@ -91,8 +91,8 @@ WORKDIR /opt/sd-scripts
 # https://github.com/aoirint/sd-scripts-docker/issues/19
 RUN <<'SH'
     ln -s \
-        /usr/local/cuda-13.3/targets/x86_64-linux/lib/libnvrtc.so.13 \
-        /usr/local/cuda-13.3/targets/x86_64-linux/lib/libnvrtc.so
+        /usr/local/cuda-12.9/targets/x86_64-linux/lib/libnvrtc.so.12 \
+        /usr/local/cuda-12.9/targets/x86_64-linux/lib/libnvrtc.so
 SH
 
 # Install project and Pre-compile Python bytecode
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
index 63527ea..97d1fbf 100644
--- a/THIRD_PARTY_NOTICES.md
+++ b/THIRD_PARTY_NOTICES.md
@@ -6,7 +6,7 @@ This project builds Docker images that include third-party software.
 
 - Source: <https://hub.docker.com/r/nvidia/cuda>
 - Base image: see `CUDA_RUNTIME_IMAGE` in `Dockerfile`
-- Bundled location in image: `/usr/local/cuda-13.3`
+- Bundled location in image: `/usr/local/cuda-12.9`
 - License: NVIDIA Deep Learning Container License
   <https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf>
 - License file in image: `/NGC-DL-CONTAINER-LICENSE`
diff --git a/docs/update-sd-scripts.md b/docs/update-sd-scripts.md
index 1a3879d..1e33ed1 100644
--- a/docs/update-sd-scripts.md
+++ b/docs/update-sd-scripts.md
@@ -170,6 +170,14 @@ curl -fsSL https://download.pytorch.org/whl/cu130/xformers/ | \
 If the upstream README recommends a different CUDA line, replace `cu130`,
 package versions, and the `pytorch-cu130` index name consistently.
 
+Do not assume that the CUDA runtime base image must use the same CUDA release
+as the PyTorch wheel index. PyTorch wheels bundle their CUDA user-space
+libraries, while the PyPI ONNX Runtime GPU wheel can require an older CUDA
+major version from the base image. Verify both stacks on a GPU before changing
+the runtime base. A mixed setup is acceptable when PyTorch, xformers, and ONNX
+Runtime all execute successfully and the reason is recorded in the changelog
+and pull request.
+
 ## 5. Update The Dockerfile
 
 Set `SD_SCRIPTS_VERSION` to the selected upstream commit:
@@ -317,6 +325,24 @@ docker run --rm --gpus all --entrypoint python sd-scripts:update-test -c \
   'import torch; print(torch.cuda.is_available()); print(torch.cuda.get_device_name(0) if torch.cuda.is_available() else "no cuda")'
 ```
 
+For PyTorch-stack updates, exercise CUDA kernels instead of relying on imports
+or `torch.cuda.is_available()` alone. At minimum, run a PyTorch tensor
+operation, xformers memory-efficient attention, and a bitsandbytes operation.
+For ONNX Runtime updates, create an inference session with
+`CUDAExecutionProvider`, run a small model, and confirm that the session did
+not fall back to `CPUExecutionProvider`.
+
+Also run the WD14 ONNX captioning path with an actual image and model. This
+loads the full accelerate, timm, ONNX, and ONNX Runtime path that previously
+passed import-only checks but failed at startup:
+
+```shell
+docker run --rm --gpus all -v /path/to/smoke-data:/work \
+  sd-scripts:update-test \
+  finetune/tag_images_by_wd14_tagger.py --onnx --batch_size 1 \
+  --model_dir /work/model /work/images
+```
+
 For a release that changes PyTorch, CUDA, xformers, or sd-scripts training
 behavior, run at least one small project-specific training or captioning
 workflow before merging when practical.
@@ -383,6 +409,8 @@ Confirm:
 - `uv.lock` resolves the selected PyTorch CUDA index.
 - Local extras are intentionally kept, updated, or removed.
 - Upstream sd-scripts pytest release tests passed in the built image.
+- PyTorch, xformers, bitsandbytes, and ONNX Runtime executed GPU operations,
+  and the WD14 ONNX captioning path completed without provider fallback.
 - Every explicit pytest path in `scripts/run-sd-scripts-release-tests.sh`
   exists in the selected upstream checkout.
 - Upstream inpainting shell tests were run, or GPU/checkpoint coverage was

From 8f4093190943636524f238d24e7390ebcd7260b6 Mon Sep 17 00:00:00 2001
From: aoirint <aoirint@gmail.com>
Date: Thu, 20 Aug 2026 21:42:15 +0900
Subject: [PATCH 4/4] build: release dependency update as v0.4.0

Use a minor release because the PyTorch and xformers wheel stack moves from
CUDA 12.9 to CUDA 13.0 and can change the supported GPU runtime behavior.

Refs: #121
Co-authored-by: Codex <noreply@openai.com>
---
 CHANGELOG.md | 6 +++---
 VERSION      | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5f94228..c0f1661 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -9,7 +9,7 @@ releases.
 
 ## [Unreleased]
 
-## [v0.3.2] - 2026-08-20 UTC
+## [v0.4.0] - 2026-08-20 UTC
 
 ### Changed
 
@@ -264,8 +264,8 @@ releases.
 - Add the first GitHub Actions build workflow and disk cleanup step.
 - Add initial ignore rules for local work directories.
 
-[Unreleased]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.2...HEAD
-[v0.3.2]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.1...v0.3.2
+[Unreleased]: https://github.com/aoirint/sd_scripts_docker/compare/v0.4.0...HEAD
+[v0.4.0]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.1...v0.4.0
 [v0.3.1]: https://github.com/aoirint/sd_scripts_docker/compare/v0.3.0...v0.3.1
 [v0.3.0]: https://github.com/aoirint/sd_scripts_docker/compare/v0.2.0...v0.3.0
 [v0.2.0]: https://github.com/aoirint/sd_scripts_docker/compare/v0.1.0...v0.2.0
diff --git a/VERSION b/VERSION
index d15723f..1d0ba9e 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-0.3.2
+0.4.0