Merge branch 'main' into feat/mag-cache

Author: sayakpaul

.github/workflows/build_docker_images.yml

@@ -25,7 +25,7 @@ jobs:
     if: github.event_name == 'pull_request'
     steps:
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v1
+        uses: docker/setup-buildx-action@v3
 
       - name: Check out code
         uses: actions/checkout@v6
@@ -101,14 +101,14 @@ jobs:
       - name: Checkout repository
         uses: actions/checkout@v6
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v1
+        uses: docker/setup-buildx-action@v3
       - name: Login to Docker Hub
-        uses: docker/login-action@v2
+        uses: docker/login-action@v3
         with:
           username: ${{ env.REGISTRY }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
       - name: Build and push
-        uses: docker/build-push-action@v3
+        uses: docker/build-push-action@v6
         with:
           no-cache: true
           context: ./docker/${{ matrix.image-name }}

.github/workflows/pr_modular_tests.yml

@@ -75,9 +75,27 @@ jobs:
         if: ${{ failure() }}
         run: |
           echo "Repo consistency check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make fix-copies'" >> $GITHUB_STEP_SUMMARY
+  check_auto_docs:
+    runs-on: ubuntu-22.04
+    steps:
+      - uses: actions/checkout@v6
+      - name: Set up Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: "3.10"
+      - name: Install dependencies
+        run: |
+          pip install --upgrade pip
+          pip install .[quality]
+      - name: Check auto docs
+        run: make modular-autodoctrings
+      - name: Check if failure
+        if: ${{ failure() }}
+        run: |
+          echo "Auto docstring checks failed. Please run `python utils/modular_auto_docstring.py --fix_and_overwrite`." >> $GITHUB_STEP_SUMMARY
 
   run_fast_tests:
-    needs: [check_code_quality, check_repository_consistency]
+    needs: [check_code_quality, check_repository_consistency, check_auto_docs]
     name: Fast PyTorch Modular Pipeline CPU tests
 
     runs-on:

.github/workflows/typos.yml

@@ -11,4 +11,4 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: typos-action
-        uses: crate-ci/typos@v1.12.4
+        uses: crate-ci/typos@v1.42.1

CONTRIBUTING.md

@@ -0,0 +1 @@
+docs/source/en/conceptual/contribution.md

CONTRIBUTING.md

@@ -70,6 +70,10 @@ fix-copies:
 	python utils/check_copies.py --fix_and_overwrite
 	python utils/check_dummies.py --fix_and_overwrite
 
+# Auto docstrings in modular blocks
+modular-autodoctrings:
+	python utils/modular_auto_docstring.py
+
 # Run tests for the library
 
 test:

Makefile

@@ -1,8 +1,8 @@
-FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
+FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
 LABEL maintainer="Hugging Face"
 LABEL repository="diffusers"
 
-ARG PYTHON_VERSION=3.12
+ARG PYTHON_VERSION=3.10
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get -y update \
@@ -32,10 +32,17 @@ RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
 ENV PATH="$VIRTUAL_ENV/bin:$PATH"
 
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
+# Install torch, torchvision, and torchaudio together to ensure compatibility
 RUN uv pip install --no-cache-dir \
     torch \
     torchvision \
-    torchaudio
+    torchaudio \
+    --index-url https://download.pytorch.org/whl/cu129
+
+# Install compatible versions of numba/llvmlite for Python 3.10+
+RUN uv pip install --no-cache-dir \
+    "llvmlite>=0.40.0" \
+    "numba>=0.57.0"
 
 RUN uv pip install --no-cache-dir "git+https://github.com/huggingface/diffusers.git@main#egg=diffusers[test]"
 

docker/diffusers-pytorch-cuda/Dockerfile

@@ -1,8 +1,8 @@
-FROM nvidia/cuda:12.1.0-runtime-ubuntu20.04
+FROM nvidia/cuda:12.9.1-runtime-ubuntu24.04
 LABEL maintainer="Hugging Face"
 LABEL repository="diffusers"
 
-ARG PYTHON_VERSION=3.12
+ARG PYTHON_VERSION=3.10
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN apt-get -y update \
@@ -32,10 +32,17 @@ RUN uv venv --python ${PYTHON_VERSION} --seed ${VIRTUAL_ENV}
 ENV PATH="$VIRTUAL_ENV/bin:$PATH"
 
 # pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
+# Install torch, torchvision, and torchaudio together to ensure compatibility
 RUN uv pip install --no-cache-dir \
     torch \
     torchvision \
-    torchaudio
+    torchaudio \
+    --index-url https://download.pytorch.org/whl/cu129
+
+# Install compatible versions of numba/llvmlite for Python 3.10+
+RUN uv pip install --no-cache-dir \
+    "llvmlite>=0.40.0" \
+    "numba>=0.57.0"
 
 RUN uv pip install --no-cache-dir "git+https://github.com/huggingface/diffusers.git@main#egg=diffusers[test]"
 

docker/diffusers-pytorch-xformers-cuda/Dockerfile

@@ -496,6 +496,8 @@
         title: Bria 3.2
       - local: api/pipelines/bria_fibo
         title: Bria Fibo
+      - local: api/pipelines/bria_fibo_edit
+        title: Bria Fibo Edit
       - local: api/pipelines/chroma
         title: Chroma
       - local: api/pipelines/cogview3

docs/source/en/_toctree.yml

@@ -0,0 +1,33 @@
+<!--Copyright 2025 The HuggingFace Team. All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
+an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
+specific language governing permissions and limitations under the License.
+-->
+
+# Bria Fibo Edit
+
+Fibo Edit is an 8B parameter image-to-image model that introduces a new paradigm of structured control, operating on JSON inputs paired with source images to enable deterministic and repeatable editing workflows.
+Featuring native masking for granular precision, it moves beyond simple prompt-based diffusion to offer explicit, interpretable control optimized for production environments.
+Its lightweight architecture is designed for deep customization, empowering researchers to build specialized "Edit" models for domain-specific tasks while delivering top-tier aesthetic quality
+
+## Usage
+_As the model is gated, before using it with diffusers you first need to go to the [Bria Fibo Hugging Face page](https://huggingface.co/briaai/Fibo-Edit), fill in the form and accept the gate. Once you are in, you need to login so that your system knows you’ve accepted the gate._
+
+Use the command below to log in:
+
+```bash
+hf auth login
+```
+
+
+## BriaFiboEditPipeline
+
+[[autodoc]] BriaFiboEditPipeline
+	- all
+	- __call__