Compare commits
8 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Dhruv Nair
|
d1fa0301bc | ||
|
Dhruv Nair
|
cca8e144b7 | ||
|
Sayak Paul
|
fac5514e90 | ||
|
Dhruv Nair
|
828dd32464 | ||
|
Dhruv Nair
|
721501c754 | ||
|
Dhruv Nair
|
4756522e55 | ||
|
Dhruv Nair
|
d108c18f50 | ||
|
Dhruv Nair
|
e2d2650117 |
@@ -38,7 +38,6 @@ jobs:
|
||||
python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
|
||||
python -m uv pip install -e [quality,test]
|
||||
python -m uv pip install pandas peft
|
||||
python -m uv pip uninstall transformers && python -m uv pip install transformers==4.48.0
|
||||
- name: Environment
|
||||
run: |
|
||||
python utils/print_env.py
|
||||
|
||||
@@ -414,16 +414,10 @@ jobs:
|
||||
config:
|
||||
- backend: "bitsandbytes"
|
||||
test_location: "bnb"
|
||||
additional_deps: ["peft"]
|
||||
- backend: "gguf"
|
||||
test_location: "gguf"
|
||||
additional_deps: ["peft"]
|
||||
- backend: "torchao"
|
||||
test_location: "torchao"
|
||||
additional_deps: []
|
||||
- backend: "optimum_quanto"
|
||||
test_location: "quanto"
|
||||
additional_deps: []
|
||||
runs-on:
|
||||
group: aws-g6e-xlarge-plus
|
||||
container:
|
||||
@@ -441,9 +435,6 @@ jobs:
|
||||
python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
|
||||
python -m uv pip install -e [quality,test]
|
||||
python -m uv pip install -U ${{ matrix.config.backend }}
|
||||
if [ "${{ join(matrix.config.additional_deps, ' ') }}" != "" ]; then
|
||||
python -m uv pip install ${{ join(matrix.config.additional_deps, ' ') }}
|
||||
fi
|
||||
python -m uv pip install pytest-reportlog
|
||||
- name: Environment
|
||||
run: |
|
||||
|
||||
@@ -9,9 +9,119 @@ permissions:
|
||||
pull-requests: write
|
||||
|
||||
jobs:
|
||||
style:
|
||||
uses: huggingface/huggingface_hub/.github/workflows/style-bot-action.yml@main
|
||||
with:
|
||||
python_quality_dependencies: "[quality]"
|
||||
secrets:
|
||||
bot_token: ${{ secrets.GITHUB_TOKEN }}
|
||||
run-style-bot:
|
||||
if: >
|
||||
contains(github.event.comment.body, '@bot /style') &&
|
||||
github.event.issue.pull_request != null
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Extract PR details
|
||||
id: pr_info
|
||||
uses: actions/github-script@v6
|
||||
with:
|
||||
script: |
|
||||
const prNumber = context.payload.issue.number;
|
||||
const { data: pr } = await github.rest.pulls.get({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
pull_number: prNumber
|
||||
});
|
||||
|
||||
// We capture both the branch ref and the "full_name" of the head repo
|
||||
// so that we can check out the correct repository & branch (including forks).
|
||||
core.setOutput("prNumber", prNumber);
|
||||
core.setOutput("headRef", pr.head.ref);
|
||||
core.setOutput("headRepoFullName", pr.head.repo.full_name);
|
||||
|
||||
- name: Check out PR branch
|
||||
uses: actions/checkout@v3
|
||||
env:
|
||||
HEADREPOFULLNAME: ${{ steps.pr_info.outputs.headRepoFullName }}
|
||||
HEADREF: ${{ steps.pr_info.outputs.headRef }}
|
||||
with:
|
||||
# Instead of checking out the base repo, use the contributor's repo name
|
||||
repository: ${{ env.HEADREPOFULLNAME }}
|
||||
ref: ${{ env.HEADREF }}
|
||||
# You may need fetch-depth: 0 for being able to push
|
||||
fetch-depth: 0
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Debug
|
||||
env:
|
||||
HEADREPOFULLNAME: ${{ steps.pr_info.outputs.headRepoFullName }}
|
||||
HEADREF: ${{ steps.pr_info.outputs.headRef }}
|
||||
PRNUMBER: ${{ steps.pr_info.outputs.prNumber }}
|
||||
run: |
|
||||
echo "PR number: $PRNUMBER"
|
||||
echo "Head Ref: $HEADREF"
|
||||
echo "Head Repo Full Name: $HEADREPOFULLNAME"
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
pip install .[quality]
|
||||
|
||||
- name: Download Makefile from main branch
|
||||
run: |
|
||||
curl -o main_Makefile https://raw.githubusercontent.com/huggingface/diffusers/main/Makefile
|
||||
|
||||
- name: Compare Makefiles
|
||||
run: |
|
||||
if ! diff -q main_Makefile Makefile; then
|
||||
echo "Error: The Makefile has changed. Please ensure it matches the main branch."
|
||||
exit 1
|
||||
fi
|
||||
echo "No changes in Makefile. Proceeding..."
|
||||
rm -rf main_Makefile
|
||||
|
||||
- name: Run make style and make quality
|
||||
run: |
|
||||
make style && make quality
|
||||
|
||||
- name: Commit and push changes
|
||||
id: commit_and_push
|
||||
env:
|
||||
HEADREPOFULLNAME: ${{ steps.pr_info.outputs.headRepoFullName }}
|
||||
HEADREF: ${{ steps.pr_info.outputs.headRef }}
|
||||
PRNUMBER: ${{ steps.pr_info.outputs.prNumber }}
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
run: |
|
||||
echo "HEADREPOFULLNAME: $HEADREPOFULLNAME, HEADREF: $HEADREF"
|
||||
# Configure git with the Actions bot user
|
||||
git config user.name "github-actions[bot]"
|
||||
git config user.email "github-actions[bot]@users.noreply.github.com"
|
||||
|
||||
# Make sure your 'origin' remote is set to the contributor's fork
|
||||
git remote set-url origin "https://x-access-token:${GITHUB_TOKEN}@github.com/$HEADREPOFULLNAME.git"
|
||||
|
||||
# If there are changes after running style/quality, commit them
|
||||
if [ -n "$(git status --porcelain)" ]; then
|
||||
git add .
|
||||
git commit -m "Apply style fixes"
|
||||
# Push to the original contributor's forked branch
|
||||
git push origin HEAD:$HEADREF
|
||||
echo "changes_pushed=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "No changes to commit."
|
||||
echo "changes_pushed=false" >> $GITHUB_OUTPUT
|
||||
fi
|
||||
|
||||
- name: Comment on PR with workflow run link
|
||||
if: steps.commit_and_push.outputs.changes_pushed == 'true'
|
||||
uses: actions/github-script@v6
|
||||
with:
|
||||
script: |
|
||||
const prNumber = parseInt(process.env.prNumber, 10);
|
||||
const runUrl = `${process.env.GITHUB_SERVER_URL}/${process.env.GITHUB_REPOSITORY}/actions/runs/${process.env.GITHUB_RUN_ID}`
|
||||
|
||||
await github.rest.issues.createComment({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: prNumber,
|
||||
body: `Style fixes have been applied. [View the workflow run here](${runUrl}).`
|
||||
});
|
||||
env:
|
||||
prNumber: ${{ steps.pr_info.outputs.prNumber }}
|
||||
|
||||
@@ -3,6 +3,7 @@ name: Fast tests for PRs
|
||||
on:
|
||||
pull_request:
|
||||
branches: [main]
|
||||
types: [synchronize]
|
||||
paths:
|
||||
- "src/diffusers/**.py"
|
||||
- "benchmarks/**.py"
|
||||
|
||||
@@ -28,51 +28,7 @@ env:
|
||||
PIPELINE_USAGE_CUTOFF: 1000000000 # set high cutoff so that only always-test pipelines run
|
||||
|
||||
jobs:
|
||||
check_code_quality:
|
||||
runs-on: ubuntu-22.04
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: "3.8"
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install .[quality]
|
||||
- name: Check quality
|
||||
run: make quality
|
||||
- name: Check if failure
|
||||
if: ${{ failure() }}
|
||||
run: |
|
||||
echo "Quality check failed. Please ensure the right dependency versions are installed with 'pip install -e .[quality]' and run 'make style && make quality'" >> $GITHUB_STEP_SUMMARY
|
||||
|
||||
check_repository_consistency:
|
||||
needs: check_code_quality
|
||||
runs-on: ubuntu-22.04
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: "3.8"
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install .[quality]
|
||||
- name: Check repo consistency
|
||||
run: |
|
||||
python utils/check_copies.py
|
||||
python utils/check_dummies.py
|
||||
python utils/check_support_list.py
|
||||
make deps_table_check_updated
|
||||
- name: Check if failure
|
||||
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'" >> $GITHUB_STEP_SUMMARY
|
||||
|
||||
setup_torch_cuda_pipeline_matrix:
|
||||
needs: [check_code_quality, check_repository_consistency]
|
||||
name: Setup Torch Pipelines CUDA Slow Tests Matrix
|
||||
runs-on:
|
||||
group: aws-general-8-plus
|
||||
@@ -150,18 +106,11 @@ jobs:
|
||||
# https://pytorch.org/docs/stable/notes/randomness.html#avoiding-nondeterministic-algorithms
|
||||
CUBLAS_WORKSPACE_CONFIG: :16:8
|
||||
run: |
|
||||
if [ "${{ matrix.module }}" = "ip_adapters" ]; then
|
||||
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
|
||||
-s -v -k "not Flax and not Onnx" \
|
||||
--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
|
||||
tests/pipelines/${{ matrix.module }}
|
||||
else
|
||||
pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
|
||||
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
|
||||
-s -v -k "not Flax and not Onnx and $pattern" \
|
||||
--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
|
||||
tests/pipelines/${{ matrix.module }}
|
||||
fi
|
||||
pattern=$(cat ${{ steps.extract_tests.outputs.pattern_file }})
|
||||
python -m pytest -n 1 --max-worker-restart=0 --dist=loadfile \
|
||||
-s -v -k "not Flax and not Onnx and $pattern" \
|
||||
--make-reports=tests_pipeline_${{ matrix.module }}_cuda \
|
||||
tests/pipelines/${{ matrix.module }}
|
||||
|
||||
- name: Failure short reports
|
||||
if: ${{ failure() }}
|
||||
@@ -177,7 +126,6 @@ jobs:
|
||||
|
||||
torch_cuda_tests:
|
||||
name: Torch CUDA Tests
|
||||
needs: [check_code_quality, check_repository_consistency]
|
||||
runs-on:
|
||||
group: aws-g4dn-2xlarge
|
||||
container:
|
||||
@@ -246,7 +194,7 @@ jobs:
|
||||
|
||||
run_examples_tests:
|
||||
name: Examples PyTorch CUDA tests on Ubuntu
|
||||
needs: [check_code_quality, check_repository_consistency]
|
||||
pip uninstall transformers -y && python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git --no-deps
|
||||
runs-on:
|
||||
group: aws-g4dn-2xlarge
|
||||
|
||||
@@ -265,7 +213,6 @@ jobs:
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m venv /opt/venv && export PATH="/opt/venv/bin:$PATH"
|
||||
pip uninstall transformers -y && python -m uv pip install -U transformers@git+https://github.com/huggingface/transformers.git --no-deps
|
||||
python -m uv pip install -e [quality,test,training]
|
||||
|
||||
- name: Environment
|
||||
|
||||
+1
-1
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
+1
-1
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -28,9 +28,9 @@ ENV PATH="/opt/venv/bin:$PATH"
|
||||
# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
|
||||
RUN python3 -m pip install --no-cache-dir --upgrade pip uv==0.1.11 && \
|
||||
python3 -m uv pip install --no-cache-dir \
|
||||
torch \
|
||||
torchvision \
|
||||
torchaudio\
|
||||
torch==2.1.2 \
|
||||
torchvision==0.16.2 \
|
||||
torchaudio==2.1.2 \
|
||||
onnxruntime \
|
||||
--extra-index-url https://download.pytorch.org/whl/cpu && \
|
||||
python3 -m uv pip install --no-cache-dir \
|
||||
|
||||
+1
-1
@@ -1,5 +1,5 @@
|
||||
<!---
|
||||
Copyright 2025- The HuggingFace Team. All rights reserved.
|
||||
Copyright 2024- 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.
|
||||
|
||||
+1
-1
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
+32
-68
@@ -76,16 +76,6 @@
|
||||
- local: advanced_inference/outpaint
|
||||
title: Outpainting
|
||||
title: Advanced inference
|
||||
- sections:
|
||||
- local: hybrid_inference/overview
|
||||
title: Overview
|
||||
- local: hybrid_inference/vae_decode
|
||||
title: VAE Decode
|
||||
- local: hybrid_inference/vae_encode
|
||||
title: VAE Encode
|
||||
- local: hybrid_inference/api_reference
|
||||
title: API Reference
|
||||
title: Hybrid Inference
|
||||
- sections:
|
||||
- local: using-diffusers/cogvideox
|
||||
title: CogVideoX
|
||||
@@ -175,8 +165,6 @@
|
||||
title: gguf
|
||||
- local: quantization/torchao
|
||||
title: torchao
|
||||
- local: quantization/quanto
|
||||
title: quanto
|
||||
title: Quantization Methods
|
||||
- sections:
|
||||
- local: optimization/fp16
|
||||
@@ -265,23 +253,19 @@
|
||||
sections:
|
||||
- local: api/models/overview
|
||||
title: Overview
|
||||
- local: api/models/auto_model
|
||||
title: AutoModel
|
||||
- sections:
|
||||
- local: api/models/controlnet
|
||||
title: ControlNetModel
|
||||
- local: api/models/controlnet_union
|
||||
title: ControlNetUnionModel
|
||||
- local: api/models/controlnet_flux
|
||||
title: FluxControlNetModel
|
||||
- local: api/models/controlnet_hunyuandit
|
||||
title: HunyuanDiT2DControlNetModel
|
||||
- local: api/models/controlnet_sana
|
||||
title: SanaControlNetModel
|
||||
- local: api/models/controlnet_sd3
|
||||
title: SD3ControlNetModel
|
||||
- local: api/models/controlnet_sparsectrl
|
||||
title: SparseControlNetModel
|
||||
- local: api/models/controlnet_union
|
||||
title: ControlNetUnionModel
|
||||
title: ControlNets
|
||||
- sections:
|
||||
- local: api/models/allegro_transformer3d
|
||||
@@ -290,32 +274,28 @@
|
||||
title: AuraFlowTransformer2DModel
|
||||
- local: api/models/cogvideox_transformer3d
|
||||
title: CogVideoXTransformer3DModel
|
||||
- local: api/models/consisid_transformer3d
|
||||
title: ConsisIDTransformer3DModel
|
||||
- local: api/models/cogview3plus_transformer2d
|
||||
title: CogView3PlusTransformer2DModel
|
||||
- local: api/models/cogview4_transformer2d
|
||||
title: CogView4Transformer2DModel
|
||||
- local: api/models/consisid_transformer3d
|
||||
title: ConsisIDTransformer3DModel
|
||||
- local: api/models/dit_transformer2d
|
||||
title: DiTTransformer2DModel
|
||||
- local: api/models/easyanimate_transformer3d
|
||||
title: EasyAnimateTransformer3DModel
|
||||
- local: api/models/flux_transformer
|
||||
title: FluxTransformer2DModel
|
||||
- local: api/models/hidream_image_transformer
|
||||
title: HiDreamImageTransformer2DModel
|
||||
- local: api/models/hunyuan_transformer2d
|
||||
title: HunyuanDiT2DModel
|
||||
- local: api/models/hunyuan_video_transformer_3d
|
||||
title: HunyuanVideoTransformer3DModel
|
||||
- local: api/models/latte_transformer3d
|
||||
title: LatteTransformer3DModel
|
||||
- local: api/models/ltx_video_transformer3d
|
||||
title: LTXVideoTransformer3DModel
|
||||
- local: api/models/lumina2_transformer2d
|
||||
title: Lumina2Transformer2DModel
|
||||
- local: api/models/lumina_nextdit2d
|
||||
title: LuminaNextDiT2DModel
|
||||
- local: api/models/lumina2_transformer2d
|
||||
title: Lumina2Transformer2DModel
|
||||
- local: api/models/ltx_video_transformer3d
|
||||
title: LTXVideoTransformer3DModel
|
||||
- local: api/models/mochi_transformer3d
|
||||
title: MochiTransformer3DModel
|
||||
- local: api/models/omnigen_transformer
|
||||
@@ -324,28 +304,26 @@
|
||||
title: PixArtTransformer2DModel
|
||||
- local: api/models/prior_transformer
|
||||
title: PriorTransformer
|
||||
- local: api/models/sana_transformer2d
|
||||
title: SanaTransformer2DModel
|
||||
- local: api/models/sd3_transformer2d
|
||||
title: SD3Transformer2DModel
|
||||
- local: api/models/sana_transformer2d
|
||||
title: SanaTransformer2DModel
|
||||
- local: api/models/stable_audio_transformer
|
||||
title: StableAudioDiTModel
|
||||
- local: api/models/transformer2d
|
||||
title: Transformer2DModel
|
||||
- local: api/models/transformer_temporal
|
||||
title: TransformerTemporalModel
|
||||
- local: api/models/wan_transformer_3d
|
||||
title: WanTransformer3DModel
|
||||
title: Transformers
|
||||
- sections:
|
||||
- local: api/models/stable_cascade_unet
|
||||
title: StableCascadeUNet
|
||||
- local: api/models/unet
|
||||
title: UNet1DModel
|
||||
- local: api/models/unet2d-cond
|
||||
title: UNet2DConditionModel
|
||||
- local: api/models/unet2d
|
||||
title: UNet2DModel
|
||||
- local: api/models/unet2d-cond
|
||||
title: UNet2DConditionModel
|
||||
- local: api/models/unet3d-cond
|
||||
title: UNet3DConditionModel
|
||||
- local: api/models/unet-motion
|
||||
@@ -354,10 +332,6 @@
|
||||
title: UViT2DModel
|
||||
title: UNets
|
||||
- sections:
|
||||
- local: api/models/asymmetricautoencoderkl
|
||||
title: AsymmetricAutoencoderKL
|
||||
- local: api/models/autoencoder_dc
|
||||
title: AutoencoderDC
|
||||
- local: api/models/autoencoderkl
|
||||
title: AutoencoderKL
|
||||
- local: api/models/autoencoderkl_allegro
|
||||
@@ -368,12 +342,12 @@
|
||||
title: AutoencoderKLHunyuanVideo
|
||||
- local: api/models/autoencoderkl_ltx_video
|
||||
title: AutoencoderKLLTXVideo
|
||||
- local: api/models/autoencoderkl_magvit
|
||||
title: AutoencoderKLMagvit
|
||||
- local: api/models/autoencoderkl_mochi
|
||||
title: AutoencoderKLMochi
|
||||
- local: api/models/autoencoder_kl_wan
|
||||
title: AutoencoderKLWan
|
||||
- local: api/models/asymmetricautoencoderkl
|
||||
title: AsymmetricAutoencoderKL
|
||||
- local: api/models/autoencoder_dc
|
||||
title: AutoencoderDC
|
||||
- local: api/models/consistency_decoder_vae
|
||||
title: ConsistencyDecoderVAE
|
||||
- local: api/models/autoencoder_oobleck
|
||||
@@ -426,8 +400,6 @@
|
||||
title: ControlNet with Stable Diffusion 3
|
||||
- local: api/pipelines/controlnet_sdxl
|
||||
title: ControlNet with Stable Diffusion XL
|
||||
- local: api/pipelines/controlnet_sana
|
||||
title: ControlNet-Sana
|
||||
- local: api/pipelines/controlnetxs
|
||||
title: ControlNet-XS
|
||||
- local: api/pipelines/controlnetxs_sdxl
|
||||
@@ -446,14 +418,10 @@
|
||||
title: DiffEdit
|
||||
- local: api/pipelines/dit
|
||||
title: DiT
|
||||
- local: api/pipelines/easyanimate
|
||||
title: EasyAnimate
|
||||
- local: api/pipelines/flux
|
||||
title: Flux
|
||||
- local: api/pipelines/control_flux_inpaint
|
||||
title: FluxControlInpaint
|
||||
- local: api/pipelines/hidream
|
||||
title: HiDream-I1
|
||||
- local: api/pipelines/hunyuandit
|
||||
title: Hunyuan-DiT
|
||||
- local: api/pipelines/hunyuan_video
|
||||
@@ -506,8 +474,6 @@
|
||||
title: PixArt-Σ
|
||||
- local: api/pipelines/sana
|
||||
title: Sana
|
||||
- local: api/pipelines/sana_sprint
|
||||
title: Sana Sprint
|
||||
- local: api/pipelines/self_attention_guidance
|
||||
title: Self-Attention Guidance
|
||||
- local: api/pipelines/semantic_stable_diffusion
|
||||
@@ -521,40 +487,40 @@
|
||||
- sections:
|
||||
- local: api/pipelines/stable_diffusion/overview
|
||||
title: Overview
|
||||
- local: api/pipelines/stable_diffusion/depth2img
|
||||
title: Depth-to-image
|
||||
- local: api/pipelines/stable_diffusion/gligen
|
||||
title: GLIGEN (Grounded Language-to-Image Generation)
|
||||
- local: api/pipelines/stable_diffusion/image_variation
|
||||
title: Image variation
|
||||
- local: api/pipelines/stable_diffusion/text2img
|
||||
title: Text-to-image
|
||||
- local: api/pipelines/stable_diffusion/img2img
|
||||
title: Image-to-image
|
||||
- local: api/pipelines/stable_diffusion/svd
|
||||
title: Image-to-video
|
||||
- local: api/pipelines/stable_diffusion/inpaint
|
||||
title: Inpainting
|
||||
- local: api/pipelines/stable_diffusion/k_diffusion
|
||||
title: K-Diffusion
|
||||
- local: api/pipelines/stable_diffusion/latent_upscale
|
||||
title: Latent upscaler
|
||||
- local: api/pipelines/stable_diffusion/ldm3d_diffusion
|
||||
title: LDM3D Text-to-(RGB, Depth), Text-to-(RGB-pano, Depth-pano), LDM3D Upscaler
|
||||
- local: api/pipelines/stable_diffusion/depth2img
|
||||
title: Depth-to-image
|
||||
- local: api/pipelines/stable_diffusion/image_variation
|
||||
title: Image variation
|
||||
- local: api/pipelines/stable_diffusion/stable_diffusion_safe
|
||||
title: Safe Stable Diffusion
|
||||
- local: api/pipelines/stable_diffusion/sdxl_turbo
|
||||
title: SDXL Turbo
|
||||
- local: api/pipelines/stable_diffusion/stable_diffusion_2
|
||||
title: Stable Diffusion 2
|
||||
- local: api/pipelines/stable_diffusion/stable_diffusion_3
|
||||
title: Stable Diffusion 3
|
||||
- local: api/pipelines/stable_diffusion/stable_diffusion_xl
|
||||
title: Stable Diffusion XL
|
||||
- local: api/pipelines/stable_diffusion/sdxl_turbo
|
||||
title: SDXL Turbo
|
||||
- local: api/pipelines/stable_diffusion/latent_upscale
|
||||
title: Latent upscaler
|
||||
- local: api/pipelines/stable_diffusion/upscale
|
||||
title: Super-resolution
|
||||
- local: api/pipelines/stable_diffusion/k_diffusion
|
||||
title: K-Diffusion
|
||||
- local: api/pipelines/stable_diffusion/ldm3d_diffusion
|
||||
title: LDM3D Text-to-(RGB, Depth), Text-to-(RGB-pano, Depth-pano), LDM3D Upscaler
|
||||
- local: api/pipelines/stable_diffusion/adapter
|
||||
title: T2I-Adapter
|
||||
- local: api/pipelines/stable_diffusion/text2img
|
||||
title: Text-to-image
|
||||
- local: api/pipelines/stable_diffusion/gligen
|
||||
title: GLIGEN (Grounded Language-to-Image Generation)
|
||||
title: Stable Diffusion
|
||||
- local: api/pipelines/stable_unclip
|
||||
title: Stable unCLIP
|
||||
@@ -568,8 +534,6 @@
|
||||
title: UniDiffuser
|
||||
- local: api/pipelines/value_guided_sampling
|
||||
title: Value-guided sampling
|
||||
- local: api/pipelines/wan
|
||||
title: Wan
|
||||
- local: api/pipelines/wuerstchen
|
||||
title: Wuerstchen
|
||||
title: Pipelines
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
@@ -38,33 +38,6 @@ config = PyramidAttentionBroadcastConfig(
|
||||
pipe.transformer.enable_cache(config)
|
||||
```
|
||||
|
||||
## Faster Cache
|
||||
|
||||
[FasterCache](https://huggingface.co/papers/2410.19355) from Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, Kwan-Yee K. Wong.
|
||||
|
||||
FasterCache is a method that speeds up inference in diffusion transformers by:
|
||||
- Reusing attention states between successive inference steps, due to high similarity between them
|
||||
- Skipping unconditional branch prediction used in classifier-free guidance by revealing redundancies between unconditional and conditional branch outputs for the same timestep, and therefore approximating the unconditional branch output using the conditional branch output
|
||||
|
||||
```python
|
||||
import torch
|
||||
from diffusers import CogVideoXPipeline, FasterCacheConfig
|
||||
|
||||
pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-5b", torch_dtype=torch.bfloat16)
|
||||
pipe.to("cuda")
|
||||
|
||||
config = FasterCacheConfig(
|
||||
spatial_attention_block_skip_range=2,
|
||||
spatial_attention_timestep_skip_range=(-1, 681),
|
||||
current_timestep_callback=lambda: pipe.current_timestep,
|
||||
attention_weight_callback=lambda _: 0.3,
|
||||
unconditional_batch_skip_range=5,
|
||||
unconditional_batch_timestep_skip_range=(-1, 781),
|
||||
tensor_format="BFCHW",
|
||||
)
|
||||
pipe.transformer.enable_cache(config)
|
||||
```
|
||||
|
||||
### CacheMixin
|
||||
|
||||
[[autodoc]] CacheMixin
|
||||
@@ -74,9 +47,3 @@ pipe.transformer.enable_cache(config)
|
||||
[[autodoc]] PyramidAttentionBroadcastConfig
|
||||
|
||||
[[autodoc]] apply_pyramid_attention_broadcast
|
||||
|
||||
### FasterCacheConfig
|
||||
|
||||
[[autodoc]] FasterCacheConfig
|
||||
|
||||
[[autodoc]] apply_faster_cache
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
@@ -20,13 +20,10 @@ LoRA is a fast and lightweight training method that inserts and trains a signifi
|
||||
- [`FluxLoraLoaderMixin`] provides similar functions for [Flux](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux).
|
||||
- [`CogVideoXLoraLoaderMixin`] provides similar functions for [CogVideoX](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogvideox).
|
||||
- [`Mochi1LoraLoaderMixin`] provides similar functions for [Mochi](https://huggingface.co/docs/diffusers/main/en/api/pipelines/mochi).
|
||||
- [`AuraFlowLoraLoaderMixin`] provides similar functions for [AuraFlow](https://huggingface.co/fal/AuraFlow).
|
||||
- [`LTXVideoLoraLoaderMixin`] provides similar functions for [LTX-Video](https://huggingface.co/docs/diffusers/main/en/api/pipelines/ltx_video).
|
||||
- [`SanaLoraLoaderMixin`] provides similar functions for [Sana](https://huggingface.co/docs/diffusers/main/en/api/pipelines/sana).
|
||||
- [`HunyuanVideoLoraLoaderMixin`] provides similar functions for [HunyuanVideo](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video).
|
||||
- [`Lumina2LoraLoaderMixin`] provides similar functions for [Lumina2](https://huggingface.co/docs/diffusers/main/en/api/pipelines/lumina2).
|
||||
- [`WanLoraLoaderMixin`] provides similar functions for [Wan](https://huggingface.co/docs/diffusers/main/en/api/pipelines/wan).
|
||||
- [`CogView4LoraLoaderMixin`] provides similar functions for [CogView4](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogview4).
|
||||
- [`AmusedLoraLoaderMixin`] is for the [`AmusedPipeline`].
|
||||
- [`LoraBaseMixin`] provides a base class with several utility methods to fuse, unfuse, unload, LoRAs and more.
|
||||
|
||||
@@ -59,9 +56,6 @@ To learn more about how to load LoRA weights, see the [LoRA](../../using-diffuse
|
||||
## Mochi1LoraLoaderMixin
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.Mochi1LoraLoaderMixin
|
||||
## AuraFlowLoraLoaderMixin
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.AuraFlowLoraLoaderMixin
|
||||
|
||||
## LTXVideoLoraLoaderMixin
|
||||
|
||||
@@ -79,14 +73,6 @@ To learn more about how to load LoRA weights, see the [LoRA](../../using-diffuse
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.Lumina2LoraLoaderMixin
|
||||
|
||||
## CogView4LoraLoaderMixin
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.CogView4LoraLoaderMixin
|
||||
|
||||
## WanLoraLoaderMixin
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.WanLoraLoaderMixin
|
||||
|
||||
## AmusedLoraLoaderMixin
|
||||
|
||||
[[autodoc]] loaders.lora_pipeline.AmusedLoraLoaderMixin
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,29 +0,0 @@
|
||||
<!--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.
|
||||
-->
|
||||
|
||||
# AutoModel
|
||||
|
||||
The `AutoModel` is designed to make it easy to load a checkpoint without needing to know the specific model class. `AutoModel` automatically retrieves the correct model class from the checkpoint `config.json` file.
|
||||
|
||||
```python
|
||||
from diffusers import AutoModel, AutoPipelineForText2Image
|
||||
|
||||
unet = AutoModel.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", subfolder="unet")
|
||||
pipe = AutoPipelineForText2Image.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", unet=unet)
|
||||
```
|
||||
|
||||
|
||||
## AutoModel
|
||||
|
||||
[[autodoc]] AutoModel
|
||||
- all
|
||||
- from_pretrained
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,32 +0,0 @@
|
||||
<!-- 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. -->
|
||||
|
||||
# AutoencoderKLWan
|
||||
|
||||
The 3D variational autoencoder (VAE) model with KL loss used in [Wan 2.1](https://github.com/Wan-Video/Wan2.1) by the Alibaba Wan Team.
|
||||
|
||||
The model can be loaded with the following code snippet.
|
||||
|
||||
```python
|
||||
from diffusers import AutoencoderKLWan
|
||||
|
||||
vae = AutoencoderKLWan.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers", subfolder="vae", torch_dtype=torch.float32)
|
||||
```
|
||||
|
||||
## AutoencoderKLWan
|
||||
|
||||
[[autodoc]] AutoencoderKLWan
|
||||
- decode
|
||||
- all
|
||||
|
||||
## DecoderOutput
|
||||
|
||||
[[autodoc]] models.autoencoders.vae.DecoderOutput
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
@@ -18,7 +18,7 @@ The model can be loaded with the following code snippet.
|
||||
```python
|
||||
from diffusers import AutoencoderKLAllegro
|
||||
|
||||
vae = AutoencoderKLAllegro.from_pretrained("rhymes-ai/Allegro", subfolder="vae", torch_dtype=torch.float32).to("cuda")
|
||||
vae = AutoencoderKLCogVideoX.from_pretrained("rhymes-ai/Allegro", subfolder="vae", torch_dtype=torch.float32).to("cuda")
|
||||
```
|
||||
|
||||
## AutoencoderKLAllegro
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,37 +0,0 @@
|
||||
<!--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. -->
|
||||
|
||||
# AutoencoderKLMagvit
|
||||
|
||||
The 3D variational autoencoder (VAE) model with KL loss used in [EasyAnimate](https://github.com/aigc-apps/EasyAnimate) was introduced by Alibaba PAI.
|
||||
|
||||
The model can be loaded with the following code snippet.
|
||||
|
||||
```python
|
||||
from diffusers import AutoencoderKLMagvit
|
||||
|
||||
vae = AutoencoderKLMagvit.from_pretrained("alibaba-pai/EasyAnimateV5.1-12b-zh", subfolder="vae", torch_dtype=torch.float16).to("cuda")
|
||||
```
|
||||
|
||||
## AutoencoderKLMagvit
|
||||
|
||||
[[autodoc]] AutoencoderKLMagvit
|
||||
- decode
|
||||
- encode
|
||||
- all
|
||||
|
||||
## AutoencoderKLOutput
|
||||
|
||||
[[autodoc]] models.autoencoders.autoencoder_kl.AutoencoderKLOutput
|
||||
|
||||
## DecoderOutput
|
||||
|
||||
[[autodoc]] models.autoencoders.vae.DecoderOutput
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team and The InstantX Team. All rights reserved.
|
||||
<!--Copyright 2024 The HuggingFace Team and The InstantX 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team and Tencent Hunyuan Team. All rights reserved.
|
||||
<!--Copyright 2024 The HuggingFace Team and Tencent Hunyuan 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
|
||||
|
||||
@@ -1,29 +0,0 @@
|
||||
<!--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.
|
||||
-->
|
||||
|
||||
# SanaControlNetModel
|
||||
|
||||
The ControlNet model was introduced in [Adding Conditional Control to Text-to-Image Diffusion Models](https://huggingface.co/papers/2302.05543) by Lvmin Zhang, Anyi Rao, Maneesh Agrawala. It provides a greater degree of control over text-to-image generation by conditioning the model on additional inputs such as edge maps, depth maps, segmentation maps, and keypoints for pose detection.
|
||||
|
||||
The abstract from the paper is:
|
||||
|
||||
*We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls. The neural architecture is connected with "zero convolutions" (zero-initialized convolution layers) that progressively grow the parameters from zero and ensure that no harmful noise could affect the finetuning. We test various conditioning controls, eg, edges, depth, segmentation, human pose, etc, with Stable Diffusion, using single or multiple conditions, with or without prompts. We show that the training of ControlNets is robust with small (<50k) and large (>1m) datasets. Extensive results show that ControlNet may facilitate wider applications to control image diffusion models.*
|
||||
|
||||
This model was contributed by [ishan24](https://huggingface.co/ishan24). ❤️
|
||||
The original codebase can be found at [NVlabs/Sana](https://github.com/NVlabs/Sana), and you can find official ControlNet checkpoints on [Efficient-Large-Model's](https://huggingface.co/Efficient-Large-Model) Hub profile.
|
||||
|
||||
## SanaControlNetModel
|
||||
[[autodoc]] SanaControlNetModel
|
||||
|
||||
## SanaControlNetOutput
|
||||
[[autodoc]] models.controlnets.controlnet_sana.SanaControlNetOutput
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team and The InstantX Team. All rights reserved.
|
||||
<!--Copyright 2024 The HuggingFace Team and The InstantX 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team and The InstantX Team. All rights reserved.
|
||||
<!--Copyright 2024 The HuggingFace Team and The InstantX 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,30 +0,0 @@
|
||||
<!--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. -->
|
||||
|
||||
# EasyAnimateTransformer3DModel
|
||||
|
||||
A Diffusion Transformer model for 3D data from [EasyAnimate](https://github.com/aigc-apps/EasyAnimate) was introduced by Alibaba PAI.
|
||||
|
||||
The model can be loaded with the following code snippet.
|
||||
|
||||
```python
|
||||
from diffusers import EasyAnimateTransformer3DModel
|
||||
|
||||
transformer = EasyAnimateTransformer3DModel.from_pretrained("alibaba-pai/EasyAnimateV5.1-12b-zh", subfolder="transformer", torch_dtype=torch.float16).to("cuda")
|
||||
```
|
||||
|
||||
## EasyAnimateTransformer3DModel
|
||||
|
||||
[[autodoc]] EasyAnimateTransformer3DModel
|
||||
|
||||
## Transformer2DModelOutput
|
||||
|
||||
[[autodoc]] models.modeling_outputs.Transformer2DModelOutput
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,30 +0,0 @@
|
||||
<!-- 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. -->
|
||||
|
||||
# HiDreamImageTransformer2DModel
|
||||
|
||||
A Transformer model for image-like data from [HiDream-I1](https://huggingface.co/HiDream-ai).
|
||||
|
||||
The model can be loaded with the following code snippet.
|
||||
|
||||
```python
|
||||
from diffusers import HiDreamImageTransformer2DModel
|
||||
|
||||
transformer = HiDreamImageTransformer2DModel.from_pretrained("HiDream-ai/HiDream-I1-Full", subfolder="transformer", torch_dtype=torch.bfloat16)
|
||||
```
|
||||
|
||||
## HiDreamImageTransformer2DModel
|
||||
|
||||
[[autodoc]] HiDreamImageTransformer2DModel
|
||||
|
||||
## Transformer2DModelOutput
|
||||
|
||||
[[autodoc]] models.modeling_outputs.Transformer2DModelOutput
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,30 +0,0 @@
|
||||
<!-- 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. -->
|
||||
|
||||
# WanTransformer3DModel
|
||||
|
||||
A Diffusion Transformer model for 3D video-like data was introduced in [Wan 2.1](https://github.com/Wan-Video/Wan2.1) by the Alibaba Wan Team.
|
||||
|
||||
The model can be loaded with the following code snippet.
|
||||
|
||||
```python
|
||||
from diffusers import WanTransformer3DModel
|
||||
|
||||
transformer = WanTransformer3DModel.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers", subfolder="transformer", torch_dtype=torch.bfloat16)
|
||||
```
|
||||
|
||||
## WanTransformer3DModel
|
||||
|
||||
[[autodoc]] WanTransformer3DModel
|
||||
|
||||
## Transformer2DModelOutput
|
||||
|
||||
[[autodoc]] models.modeling_outputs.Transformer2DModelOutput
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!-- Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!-- Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
@@ -89,23 +89,6 @@ image = pipeline(prompt).images[0]
|
||||
image.save("auraflow.png")
|
||||
```
|
||||
|
||||
## Support for `torch.compile()`
|
||||
|
||||
AuraFlow can be compiled with `torch.compile()` to speed up inference latency even for different resolutions. First, install PyTorch nightly following the instructions from [here](https://pytorch.org/). The snippet below shows the changes needed to enable this:
|
||||
|
||||
```diff
|
||||
+ torch.fx.experimental._config.use_duck_shape = False
|
||||
+ pipeline.transformer = torch.compile(
|
||||
pipeline.transformer, fullgraph=True, dynamic=True
|
||||
)
|
||||
```
|
||||
|
||||
Specifying `use_duck_shape` to be `False` instructs the compiler if it should use the same symbolic variable to represent input sizes that are the same. For more details, check out [this comment](https://github.com/huggingface/diffusers/pull/11327#discussion_r2047659790).
|
||||
|
||||
This enables from 100% (on low resolutions) to a 30% (on 1536x1536 resolution) speed improvements.
|
||||
|
||||
Thanks to [AstraliteHeart](https://github.com/huggingface/diffusers/pull/11297/) who helped us rewrite the [`AuraFlowTransformer2DModel`] class so that the above works for different resolutions ([PR](https://github.com/huggingface/diffusers/pull/11297/)).
|
||||
|
||||
## AuraFlowPipeline
|
||||
|
||||
[[autodoc]] AuraFlowPipeline
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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.
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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.
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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.
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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.
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team, The Black Forest Team. All rights reserved.
|
||||
<!--Copyright 2024 The HuggingFace Team, The Black Forest 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
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
<!--Copyright 2025 The HuggingFace Team. All rights reserved.
|
||||
<!--Copyright 2024 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
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user