- 05 Dec, 2025 3 commits
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Sayak Paul authored
up
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sayakpaul authored
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Álvaro Somoza authored
* initial * toctree * fix * apply review and fix * Update docs/source/en/api/pipelines/z_image.md Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/api/pipelines/z_image.md Co-authored-by:
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- 04 Dec, 2025 1 commit
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Sayak Paul authored
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- 03 Dec, 2025 2 commits
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Lev Novitskiy authored
* add transformer pipeline first version --------- Co-authored-by:
Álvaro Somoza <asomoza@users.noreply.github.com> Co-authored-by:
YiYi Xu <yixu310@gmail.com> Co-authored-by:
Charles <charles@huggingface.co> Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> Co-authored-by:
github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by:
dmitrienkoae <dmitrienko.ae@phystech.edu> Co-authored-by:
nvvaulin <nvvaulin@gmail.com>
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Sayak Paul authored
* start varlen variants for attn backend kernels. * maybe unflatten heads. * updates * remove unused function. * doc * up
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- 02 Dec, 2025 2 commits
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Guo-Hua Wang authored
* add ovis_image * fix code quality * optimize pipeline_ovis_image.py according to the feedbacks * optimize imports * add docs * make style * make style * add ovis to toctree * oops --------- Co-authored-by: -
CalamitousFelicitousness authored
* Add ZImage LoRA support and integrate into ZImagePipeline * Add LoRA test for Z-Image * Move the LoRA test * Fix ZImage LoRA scale support and test configuration * Add ZImage LoRA test overrides for architecture differences - Override test_lora_fuse_nan to use ZImage's 'layers' attribute instead of 'transformer_blocks' - Skip block-level LoRA scaling test (not supported in ZImage) - Add required imports: numpy, torch_device, check_if_lora_correctly_set * Add ZImageLoraLoaderMixin to LoRA documentation * Use conditional import for peft.LoraConfig in ZImage tests * Override test_correct_lora_configs_with_different_ranks for ZImage ZImage uses 'attention.to_k' naming convention instead of 'attn.to_k', so the base test's module name search loop never finds a match. This override uses the correct naming pattern for ZImage architecture. * Add is_flaky decorator to ZImage LoRA tests initialise padding tokens * Skip ZImage LoRA test class entirely Skip the entire ZImageLoRATests class due to non-deterministic behavior from complex64 RoPE operations and torch.empty padding tokens. LoRA functionality works correctly with real models. Clean up removed: - Individual @unittest.skip decorators - @is_flaky decorator overrides for inherited methods - Custom test method overrides - Global torch deterministic settings - Unused imports (numpy, is_flaky, check_if_lora_correctly_set) --------- Co-authored-by:
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- 01 Dec, 2025 4 commits
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Sayak Paul authored
* feat: implement caption upsampling for flux.2. * doc * up * fix * up * fix system prompts
🤷 * up * up * up -
Sayak Paul authored
* Update bria_fibo.md with minor fixes * Apply suggestions from code review Co-authored-by:
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Gal Davidi authored
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YiYi Xu authored
* add --------- Co-authored-by:
yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by:
yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by:
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- 28 Nov, 2025 1 commit
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Dhruv Nair authored
* update * update * update * update * Apply style fixes * update * update * update * update * update --------- Co-authored-by:
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- 26 Nov, 2025 1 commit
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Sayak Paul authored
* fix links * up
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- 25 Nov, 2025 2 commits
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Sayak Paul authored
* add vae * Initial commit for Flux 2 Transformer implementation * add pipeline part * small edits to the pipeline and conversion * update conversion script * fix * up up * finish pipeline * Remove Flux IP Adapter logic for now * Remove deprecated 3D id logic * Remove ControlNet logic for now * Add link to ViT-22B paper as reference for parallel transformer blocks such as the Flux 2 single stream block * update pipeline * Don't use biases for input projs and output AdaNorm * up * Remove bias for double stream block text QKV projections * Add script to convert Flux 2 transformer to diffusers * make style and make quality * fix a few things. * allow sft files to go. * fix image processor * fix batch * style a bit * Fix some bugs in Flux 2 transformer implementation * Fix dummy input preparation and fix some test bugs * fix dtype casting in timestep guidance module. * resolve conflicts., * remove ip adapter stuff. * Fix Flux 2 transformer consistency test * Fix bug in Flux2TransformerBlock (double stream block) * Get remaining Flux 2 transformer tests passing * make style; make quality; make fix-copies * remove stuff. * fix type annotaton. * remove unneeded stuff from tests * tests * up * up * add sf support * Remove unused IP Adapter and ControlNet logic from transformer (#9) * copied from * Apply suggestions from code review Co-authored-by:
apolinário <joaopaulo.passos@gmail.com> * up * up * up * up * up * Refactor Flux2Attention into separate classes for double stream and single stream attention * Add _supports_qkv_fusion to AttentionModuleMixin to allow subclasses to disable QKV fusion * Have Flux2ParallelSelfAttention inherit from AttentionModuleMixin with _supports_qkv_fusion=False * Log debug message when calling fuse_projections on a AttentionModuleMixin subclass that does not support QKV fusion * Address review comments * Update src/diffusers/pipelines/flux2/pipeline_flux2.py Co-authored-by:
Linoy Tsaban <linoytsaban@gmail.com> * model cpu offload in validation. * add flux.2 readme * add img2img and tests * cpu offload in log validation * Apply suggestions from code review * fix * up * fixes * remove i2i training tests for now. --------- Co-authored-by:
linoytsaban <linoy@huggingface.co> * up --------- Co-authored-by:
Daniel Gu <dgu8957@gmail.com> Co-authored-by:
yiyi@huggingface.co <yiyi@ip-10-53-87-203.ec2.internal> Co-authored-by:
dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by:
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Junsong Chen authored
* fix typo in docs * Update docs/source/en/api/pipelines/sana_video.md Co-authored-by:
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- 24 Nov, 2025 1 commit
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Sayak Paul authored
* up * support automatic dispatch. * disable compile support for now./ * up * flash too. * document. * up * up * up * up
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- 17 Nov, 2025 1 commit
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Junsong Chen authored
* move sana-video to a new dir and add `SanaImageToVideoPipeline` with no modify; * fix bug and run text/image-to-vidoe success; * make style; quality; fix-copies; * add sana image-to-video pipeline in markdown; * add test case for sana image-to-video; * make style; * add a init file in sana-video test dir; * Update src/diffusers/pipelines/sana_video/pipeline_sana_video_i2v.py Co-authored-by:
Yuyang Zhao <43061147+HeliosZhao@users.noreply.github.com> * Update src/diffusers/pipelines/sana_video/pipeline_sana_video_i2v.py Co-authored-by:
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- 15 Nov, 2025 1 commit
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dg845 authored
* Update the Wan Animate docs to reflect the most recent code * Further explain input preprocessing and link to original Wan Animate preprocessing scripts
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- 14 Nov, 2025 1 commit
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Dhruv Nair authored
* update * update * Update docs/source/en/modular_diffusers/custom_blocks.md Co-authored-by:
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- 13 Nov, 2025 3 commits
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Steven Liu authored
* automodel * fix
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Steven Liu authored
update Co-authored-by: -
dg845 authored
--------- Co-authored-by:
Tolga Cangöz <mtcangoz@gmail.com> Co-authored-by:
Tolga Cangöz <46008593+tolgacangoz@users.noreply.github.com>
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- 10 Nov, 2025 2 commits
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Dhruv Nair authored
update Co-authored-by: -
Jay Wu authored
* add ChronoEdit * add ref to original function & remove wan2.2 logics * Update src/diffusers/pipelines/chronoedit/pipeline_chronoedit.py Co-authored-by:
wjay <wjay@nvidia.com> Co-authored-by:
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- 06 Nov, 2025 1 commit
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Junsong Chen authored
* 1. add `SanaVideoTransformer3DModel` in transformer_sana_video.py 2. add `SanaVideoPipeline` in pipeline_sana_video.py 3. add all code we need for import `SanaVideoPipeline` * add a sample about how to use sana-video; * code update; * update hf model path; * update code; * sana-video can run now; * 1. add aspect ratio in sana-video-pipeline; 2. add reshape function in sana-video-processor; 3. fix convert pth to safetensor bugs; * default to use `use_resolution_binning`; * make style; * remove unused code; * Update src/diffusers/models/transformers/transformer_sana_video.py Co-authored-by:
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- 04 Nov, 2025 2 commits
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Sayak Paul authored
sort doc
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Lev Novitskiy authored
* add transformer pipeline first version * updates * fix 5sec generation * rewrite Kandinsky5T2VPipeline to diffusers style * add multiprompt support * remove prints in pipeline * add nabla attention * Wrap Transformer in Diffusers style * fix license * fix prompt type * add gradient checkpointing and peft support * add usage example * Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py Co-authored-by:
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- 28 Oct, 2025 3 commits
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galbria authored
* Bria FIBO pipeline * style fixs * fix CR * Refactor BriaFibo classes and update pipeline parameters - Updated BriaFiboAttnProcessor and BriaFiboAttention classes to reflect changes from Flux equivalents. - Modified the _unpack_latents method in BriaFiboPipeline to improve clarity. - Increased the default max_sequence_length to 3000 and added a new optional parameter do_patching. - Cleaned up test_pipeline_bria_fibo.py by removing unused imports and skipping unsupported tests. * edit the docs of FIBO * Remove unused BriaFibo imports and update CPU offload method in BriaFiboPipeline * Refactor FIBO classes to BriaFibo naming convention - Updated class names from FIBO to BriaFibo for consistency across the module. - Modified instances of FIBOEmbedND, FIBOTimesteps, TextProjection, and TimestepProjEmbeddings to reflect the new naming. - Ensured all references in the BriaFiboTransformer2DModel are updated accordingly. * Add BriaFiboTransformer2DModel import to transformers module * Remove unused BriaFibo imports from modular pipelines and add BriaFiboTransformer2DModel and BriaFiboPipeline classes to dummy objects for enhanced compatibility with torch and transformers. * Update BriaFibo classes with copied documentation and fix import typo in pipeline module - Added documentation comments indicating the source of copied code in BriaFiboTransformerBlock and _pack_latents methods. - Corrected the import statement for BriaFiboPipeline in the pipelines module. * Remove unused BriaFibo imports from __init__.py to streamline modular pipelines. * Refactor documentation comments in BriaFibo classes to indicate inspiration from existing implementations - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to reflect that the code is inspired by other modules rather than copied. - Enhanced clarity on the origins of the methods to maintain proper attribution. * change Inspired by to Based on * add reference link and fix trailing whitespace * Add BriaFiboTransformer2DModel documentation and update comments in BriaFibo classes - Introduced a new documentation file for BriaFiboTransformer2DModel. - Updated comments in BriaFiboAttnProcessor, BriaFiboAttention, and BriaFiboPipeline to clarify the origins of the code, indicating copied sources for better attribution. --------- Co-authored-by: -
Meatfucker authored
Update kandinsky5.md Fix typos
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Lev Novitskiy authored
* add transformer pipeline first version * updates * fix 5sec generation * rewrite Kandinsky5T2VPipeline to diffusers style * add multiprompt support * remove prints in pipeline * add nabla attention * Wrap Transformer in Diffusers style * fix license * fix prompt type * add gradient checkpointing and peft support * add usage example * Update src/diffusers/pipelines/kandinsky5/pipeline_kandinsky.py Co-authored-by:
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- 27 Oct, 2025 2 commits
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Mikko Lauri authored
* add aiter attention backend * Apply style fixes --------- Co-authored-by:
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josephrocca authored
* [Fix] Move attention mask padding after T5 embedding * [Fix] Move attention mask padding after T5 embedding * Clean up whitespace in pipeline_chroma.py Removed unnecessary blank lines for cleaner code. * Fix * Fix * Update model to final Chroma1-HD checkpoint * Update to Chroma1-HD * Update model to Chroma1-HD * Update model to Chroma1-HD * Update Chroma model links to Chroma1-HD * Add comment about padding/masking * Fix checkpoint/repo references * Apply style fixes --------- Co-authored-by:
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- 24 Oct, 2025 1 commit
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YiYi Xu authored
* add hunyuanimage2.1 --------- Co-authored-by:
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- 22 Oct, 2025 1 commit
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David Bertoin authored
* rename photon to prx * rename photon into prx * Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370 * rename photon to prx * rename photon into prx * Revert .gitignore to state before commit b7fb0fe9d63bf766bbe3c42ac154a043796dd370 * make fix-copies
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- 21 Oct, 2025 3 commits
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David Bertoin authored
* Add Photon model and pipeline support This commit adds support for the Photon image generation model: - PhotonTransformer2DModel: Core transformer architecture - PhotonPipeline: Text-to-image generation pipeline - Attention processor updates for Photon-specific attention mechanism - Conversion script for loading Photon checkpoints - Documentation and tests * just store the T5Gemma encoder * enhance_vae_properties if vae is provided only * remove autocast for text encoder forwad * BF16 example * conditioned CFG * remove enhance vae and use vae.config directly when possible * move PhotonAttnProcessor2_0 in transformer_photon * remove einops dependency and now inherits from AttentionMixin * unify the structure of the forward block * update doc * update doc * fix T5Gemma loading from hub * fix timestep shift * remove lora support from doc * Rename EmbedND for PhotoEmbedND * remove modulation dataclass * put _attn_forward and _ffn_forward logic in PhotonBlock's forward * renam LastLayer for FinalLayer * remove lora related code * rename vae_spatial_compression_ratio for vae_scale_factor * support prompt_embeds in call * move xattention conditionning out computation out of the denoising loop * add negative prompts * Use _import_structure for lazy loading * make quality + style * add pipeline test + corresponding fixes * utility function that determines the default resolution given the VAE * Refactor PhotonAttention to match Flux pattern * built-in RMSNorm * Revert accidental .gitignore change * parameter names match the standard diffusers conventions * renaming and remove unecessary attributes setting * Update docs/source/en/api/pipelines/photon.md Co-authored-by:
davidb <davidb@worker-10.soperator-worker-svc.soperator.svc.cluster.local> Co-authored-by:
David Briand <david@photoroom.com> Co-authored-by:
davidb <davidb@worker-8.soperator-worker-svc.soperator.svc.cluster.local> Co-authored-by:
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Sayak Paul authored
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Steven Liu authored
* reorganize * fix --------- Co-authored-by:
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- 18 Oct, 2025 1 commit
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Lev Novitskiy authored
* add kandinsky5 transformer pipeline first version --------- Co-authored-by:
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- 17 Oct, 2025 1 commit
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Ali Imran authored
* cleanup of runway model * quality fixes
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