diff --git a/.github/workflows/run_tests_from_a_pr.yml b/.github/workflows/run_tests_from_a_pr.yml
new file mode 100644
index 000000000000..782c0db417ff
--- /dev/null
+++ b/.github/workflows/run_tests_from_a_pr.yml
@@ -0,0 +1,73 @@
+name: Check running SLOW tests from a PR (only GPU)
+
+on:
+ workflow_dispatch:
+ inputs:
+ docker_image:
+ default: 'diffusers/diffusers-pytorch-cuda'
+ description: 'Name of the Docker image'
+ required: true
+ branch:
+ description: 'PR Branch to test on'
+ required: true
+ test:
+ description: 'Tests to run (e.g.: `tests/models`).'
+ required: true
+
+env:
+ DIFFUSERS_IS_CI: yes
+ IS_GITHUB_CI: "1"
+ HF_HOME: /mnt/cache
+ OMP_NUM_THREADS: 8
+ MKL_NUM_THREADS: 8
+ PYTEST_TIMEOUT: 600
+ RUN_SLOW: yes
+
+jobs:
+ run_tests:
+ name: "Run a test on our runner from a PR"
+ runs-on: [single-gpu, nvidia-gpu, t4, ci]
+ container:
+ image: ${{ github.event.inputs.docker_image }}
+ options: --gpus 0 --privileged --ipc host -v /mnt/cache/.cache/huggingface:/mnt/cache/
+
+ steps:
+ - name: Validate test files input
+ id: validate_test_files
+ env:
+ PY_TEST: ${{ github.event.inputs.test }}
+ run: |
+ if [[ ! "$PY_TEST" =~ ^tests/ ]]; then
+ echo "Error: The input string must start with 'tests/'."
+ exit 1
+ fi
+
+ if [[ ! "$PY_TEST" =~ ^tests/(models|pipelines) ]]; then
+ echo "Error: The input string must contain either 'models' or 'pipelines' after 'tests/'."
+ exit 1
+ fi
+
+ if [[ "$PY_TEST" == *";"* ]]; then
+ echo "Error: The input string must not contain ';'."
+ exit 1
+ fi
+ echo "$PY_TEST"
+
+ - name: Checkout PR branch
+ uses: actions/checkout@v4
+ with:
+ ref: ${{ github.event.inputs.branch }}
+ repository: ${{ github.event.pull_request.head.repo.full_name }}
+
+
+ - name: Install pytest
+ run: |
+ python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
+ python -m uv pip install -e [quality,test]
+ python -m uv pip install peft
+
+ - name: Run tests
+ env:
+ PY_TEST: ${{ github.event.inputs.test }}
+ run: |
+ pytest "$PY_TEST"
\ No newline at end of file
diff --git a/docker/diffusers-doc-builder/Dockerfile b/docker/diffusers-doc-builder/Dockerfile
index 6f5f6d633245..cd8fa66983c5 100644
--- a/docker/diffusers-doc-builder/Dockerfile
+++ b/docker/diffusers-doc-builder/Dockerfile
@@ -18,6 +18,8 @@ RUN apt install -y bash \
python3.10 \
python3-pip \
libgl1 \
+ zip \
+ wget \
python3.10-venv && \
rm -rf /var/lib/apt/lists
diff --git a/docs/source/en/_toctree.yml b/docs/source/en/_toctree.yml
index 2f4651ba3417..29fb3241aad9 100644
--- a/docs/source/en/_toctree.yml
+++ b/docs/source/en/_toctree.yml
@@ -59,6 +59,8 @@
title: Distributed inference with multiple GPUs
- local: using-diffusers/merge_loras
title: Merge LoRAs
+ - local: using-diffusers/scheduler_features
+ title: Scheduler features
- local: using-diffusers/callback
title: Pipeline callbacks
- local: using-diffusers/reusing_seeds
@@ -68,6 +70,10 @@
- local: using-diffusers/weighted_prompts
title: Prompt techniques
title: Inference techniques
+- sections:
+ - local: advanced_inference/outpaint
+ title: Outpainting
+ title: Advanced inference
- sections:
- local: using-diffusers/sdxl
title: Stable Diffusion XL
@@ -93,6 +99,8 @@
title: Trajectory Consistency Distillation-LoRA
- local: using-diffusers/svd
title: Stable Video Diffusion
+ - local: using-diffusers/marigold_usage
+ title: Marigold Computer Vision
title: Specific pipeline examples
- sections:
- local: training/overview
@@ -295,6 +303,8 @@
title: Latent Diffusion
- local: api/pipelines/ledits_pp
title: LEDITS++
+ - local: api/pipelines/marigold
+ title: Marigold
- local: api/pipelines/panorama
title: MultiDiffusion
- local: api/pipelines/musicldm
@@ -445,4 +455,4 @@
title: Video Processor
title: Internal classes
isExpanded: false
- title: API
+ title: API
\ No newline at end of file
diff --git a/docs/source/en/advanced_inference/outpaint.md b/docs/source/en/advanced_inference/outpaint.md
new file mode 100644
index 000000000000..f3a7bd99d8fa
--- /dev/null
+++ b/docs/source/en/advanced_inference/outpaint.md
@@ -0,0 +1,231 @@
+
+
+# Outpainting
+
+Outpainting extends an image beyond its original boundaries, allowing you to add, replace, or modify visual elements in an image while preserving the original image. Like [inpainting](../using-diffusers/inpaint), you want to fill the white area (in this case, the area outside of the original image) with new visual elements while keeping the original image (represented by a mask of black pixels). There are a couple of ways to outpaint, such as with a [ControlNet](https://hf.co/blog/OzzyGT/outpainting-controlnet) or with [Differential Diffusion](https://hf.co/blog/OzzyGT/outpainting-differential-diffusion).
+
+This guide will show you how to outpaint with an inpainting model, ControlNet, and a ZoeDepth estimator.
+
+Before you begin, make sure you have the [controlnet_aux](https://github.com/huggingface/controlnet_aux) library installed so you can use the ZoeDepth estimator.
+
+```py
+!pip install -q controlnet_aux
+```
+
+## Image preparation
+
+Start by picking an image to outpaint with and remove the background with a Space like [BRIA-RMBG-1.4](https://hf.co/spaces/briaai/BRIA-RMBG-1.4).
+
+
+
+For example, remove the background from this image of a pair of shoes.
+
+
+
+
+
original image
+
+
+
+
background removed
+
+
+
+
+
+
+
+
+
+
-
-
-
default Stable Diffusion v2-1 image
-
-
-
-
image with zero SNR and trailing timestep spacing enabled
-
-
+
+
+
+ Example input image for all Marigold pipelines
+
+
+
+
+
+
+ Predicted depth (16-bit PNG)
+
+
+
+
+
+ Predicted depth visualization (Spectral)
+
+
+
+
+
+
+ Predicted surface normals visualization
+
+
+
+
+
+
+ Marigold LCM fp16 with Tiny AutoEncoder
+
+
+
+
+
+ Depth Anything Large
+
+
+
+
+
+
+ Surface normals, no ensembling
+
+
+
+
+
+ Surface normals, with ensembling
+
+
+
+
+
+
+ Depth uncertainty
+
+
+
+
+
+ Surface normals uncertainty
+
+
+
+
+
+
Input video
+
+
+
+
Marigold Depth applied to input video frames independently
+
+
+
+
+
Marigold Depth applied to input video frames independently
+
+
+
+
Marigold Depth with forced latents initialization
+
+
+
+
+
+ Input image
+
+
+
+
+
+ Depth in the format compatible with ControlNet
+
+
+
+
+
+ ControlNet generation, conditioned on depth and prompt: "high quality photo of a sports bike, city"
+
+
+
+
+
+
AYS timestep schedule 10 steps
+
+
+
+
Linearly-spaced timestep schedule 10 steps
+
+
+
+
Linearly-spaced timestep schedule 25 steps
+
+
+
+
+
trailing spacing after 5 steps
+
+
+
+
leading spacing after 5 steps
+
+
+
+
+
Karras sigmas enabled
+
+
+
+
Karras sigmas disabled
+
+
+
+
+
default Stable Diffusion v2-1 image
+
+
+
+
image with zero SNR and trailing timestep spacing enabled
+
+
-
-
-
AYS timestep schedule 10 steps
-
-
-
-
Linearly-spaced timestep schedule 10 steps
-
-
-
-
Linearly-spaced timestep schedule 25 steps
-
-