1255 Commits

Author	SHA1	Message	Date
Samuel Meddin	3e53a383e1	Fix typos and grammar errors in documentation (#13391) ... - Fix 'allows to generate' -> 'allows you to generate' in controlling_generation.md - Fix 'it's refiner' -> 'its refiner' (possessive) in sdxl.md - Fix 'it's state' -> 'its state' (possessive) in reusing_seeds.md - Fix missing word 'you'll a function' -> 'you'll create a function' in sdxl.md	2026-04-02 13:42:32 -07:00
YiYi Xu	cf6af6b4f8	[docs] add auto docstring and parameter templates documentation for m… (#13382) ... * [docs] add auto docstring and parameter templates documentation for modular diffusers Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_docstring.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/_toctree.yml Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * up --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-04-02 10:34:45 -10:00
Steven Liu	e365d749a1	[docs] deprecate pipelines (#13157) ... * deprecate * fix * fix * fix * fix * remove deprecated .md files * update links * fix	2026-04-01 10:16:23 -07:00
Pranav Thombre	7e463ea4cc	[docs] Add NeMo Automodel training guide (#13306) ... * [docs] Add NeMo Automodel training guide Signed-off-by: Pranav Prashant Thombre <pthombre@nvidia.com> * Update docs/source/en/training/nemo_automodel.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/training/nemo_automodel.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * adding contacts into the readme * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Address CR comments Signed-off-by: Pranav Prashant Thombre <pthombre@nvidia.com> * Update docs/source/en/training/nemo_automodel.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/training/nemo_automodel.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Signed-off-by: Pranav Prashant Thombre <pthombre@nvidia.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: linnan wang <wangnan318@gmail.com>	2026-03-30 10:21:58 -07:00
Howard Zhang	1fe2125802	remove str option for quantization config in torchao (#13291) ... * remove str option for quantization config in torchao * Apply style fixes * minor fixes * Added AOBaseConfig docs to torchao.md * minor fixes for removing str option torchao * minor change to add back int and uint check * minor fixes * minor fixes to tests * Update tests/quantization/torchao/test_torchao.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update docs/source/en/quantization/torchao.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update tests/quantization/torchao/test_torchao.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * version=2 update to test_torchao.py --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-03-27 08:52:37 +05:30
dg845	7298f5be93	Update LTX-2 Docs to Cover LTX-2.3 Models (#13337) ... * Update LTX-2 docs to cover multimodal guidance and prompt enhancement * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply reviewer feedback --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-03-26 17:51:29 -07:00
Steven Liu	cbf4d9a3c3	[docs] kernels (#13139) ... * kernels * feedback	2026-03-25 09:31:54 -07:00
Kashif Rasul	762ae059fa	[LLADA2] documentation fixes (#13333) ... documentation fixes	2026-03-25 17:49:31 +05:30
Kashif Rasul	5d207e756e	[Discrete Diffusion] Add LLaDA2 pipeline (#13226) ... * feat: add LLaDA2 and BlockRefinement pipelines for discrete text diffusion Add support for LLaDA2/LLaDA2.1 discrete diffusion text generation: - BlockRefinementPipeline: block-wise iterative refinement with confidence-based token commitment, supporting editing threshold for LLaDA2.1 models - LLaDA2Pipeline: convenience wrapper with LLaDA2-specific defaults - DiscreteDiffusionPipelineMixin: shared SAR sampling utilities (top-k, top-p, temperature) and prompt/prefix helpers - compute_confidence_aware_loss: CAP-style training loss - Examples: sampling scripts for LLaDA2 and block refinement, training scripts with Qwen causal LM - Docs and tests included * feat: add BlockRefinementScheduler for commit-by-confidence scheduling Extract the confidence-based token commit logic from BlockRefinementPipeline into a dedicated BlockRefinementScheduler, following diffusers conventions. The scheduler owns: - Transfer schedule computation (get_num_transfer_tokens) - Timestep management (set_timesteps) - Step logic: confidence-based mask-filling and optional token editing The pipeline now delegates scheduling to self.scheduler.step() and accepts a scheduler parameter in __init__. * test: add unit tests for BlockRefinementScheduler 12 tests covering set_timesteps, get_num_transfer_tokens, step logic (confidence-based commits, threshold behavior, editing, prompt masking, batched inputs, tuple output). * docs: add toctree entries and standalone scheduler doc page - Add BlockRefinement and LLaDA2 to docs sidebar navigation - Add BlockRefinementScheduler to schedulers sidebar navigation - Move scheduler autodoc to its own page under api/schedulers/ * feat: add --revision flag and fix dtype deprecation in sample_llada2.py - Add --revision argument for loading model revisions from the Hub - Replace deprecated torch_dtype with dtype for transformers 5.x compat * fix: use 1/0 attention mask instead of 0/-inf for LLaDA2 compat LLaDA2 models expect a boolean-style (1/0) attention mask, not an additive (0/-inf) mask. The model internally converts to additive, so passing 0/-inf caused double-masking and gibberish output. * refactor: consolidate training scripts into single train_block_refinement.py - Remove toy train_block_refinement_cap.py (self-contained demo with tiny model) - Rename train_block_refinement_qwen_cap.py to train_block_refinement.py (already works with any causal LM via AutoModelForCausalLM) - Fix torch_dtype deprecation and update README with correct script names * fix formatting * docs: improve LLaDA2 and BlockRefinement documentation - Add usage examples with real model IDs and working code - Add recommended parameters table for LLaDA2.1 quality/speed modes - Note that editing is LLaDA2.1-only (not for LLaDA2.0 models) - Remove misleading config defaults section from BlockRefinement docs * feat: set LLaDA2Pipeline defaults to recommended model parameters - threshold: 0.95 -> 0.7 (quality mode) - max_post_steps: 0 -> 16 (recommended for LLaDA2.1, harmless for 2.0) - eos_early_stop: False -> True (stop at EOS token) block_length=32, steps=32, temperature=0.0 were already correct. editing_threshold remains None (users enable for LLaDA2.1 models). * feat: default editing_threshold=0.5 for LLaDA2.1 quality mode LLaDA2.1 is the current generation. Users with LLaDA2.0 models can disable editing by passing editing_threshold=None. * fix: align sampling utilities with official LLaDA2 implementation - top_p filtering: add shift-right to preserve at least one token above threshold (matches official code line 1210) - temperature ordering: apply scaling before top-k/top-p filtering so filtering operates on scaled logits (matches official code lines 1232-1235) - greedy branch: return argmax directly when temperature=0 without filtering (matches official code lines 1226-1230) * refactor: remove duplicate prompt encoding, reuse mixin's _prepare_input_ids LLaDA2Pipeline._prepare_prompt_ids was a near-copy of DiscreteDiffusionPipelineMixin._prepare_input_ids. Remove the duplicate and call the mixin method directly. Also simplify _extract_input_ids since we always pass return_dict=True. * formatting * fix: replace deprecated torch_dtype with dtype in examples and docstrings - Update EXAMPLE_DOC_STRING to use dtype= and LLaDA2.1-mini model ID - Fix sample_block_refinement.py to use dtype= * remove BlockRefinementPipeline * cleanup * fix readme * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * removed DiscreteDiffusionPipelineMixin * add support for 2d masks for flash attn * Update src/diffusers/training_utils.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/training_utils.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix issues from review * added tests * formatting * add check_eos_finished to scheduler * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_block_refinement.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_block_refinement.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix renaming issues and types * remove duplicate check * Update docs/source/en/api/pipelines/llada2.md Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/llada2/pipeline_llada2.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> --------- Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>	2026-03-25 16:17:50 +05:30
ddavidchick	ef309a1bb0	Add KVAE 1.0 (#13033) ... * add kvae2d * add kvae3d video * add docs for kvae2d and kvae3d video * style fixes * fix kvae3d docs * fix normalzation * fix kvae video for code style * fix kvae video * kvae minor fixes * add gradient ckpting for kvaes * get rid of inplace ops kvae video * add tests for KVAEs * kvae2d normalization style change * kvaes fix style * update dummy_pt_objects test for kvaes --------- Co-authored-by: YiYi Xu <yixu310@gmail.com>	2026-03-23 12:56:49 -10:00
Sayak Paul	0b35834351	[core] fa4 support. (#13280) ... * start fa4 support. * up * specify minimum version	2026-03-20 17:28:09 +05:30
YiYi Xu	a13e5cf9fc	[agents]support skills (#13269) ... * support skills * update * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * update baSeed on new best practice * Update .ai/skills/parity-testing/pitfalls.md Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * update --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>	2026-03-19 18:07:41 -10:00
Steven Liu	ed31974c3e	[docs] updates (#13248) ... * fixes * few more links * update zh * fix	2026-03-16 13:24:57 -07:00
YiYi Xu	e5aa719241	Add AGENTS.md (#13259) ... * add a draft * add * up * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-03-14 08:35:12 -10:00
Sayak Paul	764f7ede33	[core] Flux2 klein kv followups (#13264) ... * implement Flux2Transformer2DModelOutput. * add output class to docs. * add Flux2KleinKV to docs. * add pipeline tests for klein kv.	2026-03-13 10:05:11 +05:30
Miguel Martin	0a2c26d0a4	Update Documentation for NVIDIA Cosmos (#13251) ... * fix docs * update main example	2026-03-11 09:14:56 -07:00
Shenghai Yuan	bd7a7a0b95	Optimize Helios docs (#13222) ... optimize helios docs	2026-03-08 13:54:16 -10:00
Ando	8ec0a5ccad	feat: implement rae autoencoder. (#13046) ... * feat: implement three RAE encoders(dinov2, siglip2, mae) * feat: finish first version of autoencoder_rae * fix formatting * make fix-copies * initial doc * fix latent_mean / latent_var init types to accept config-friendly inputs * use mean and std convention * cleanup * add rae to diffusers script * use imports * use attention * remove unneeded class * example traiing script * input and ground truth sizes have to be the same * fix argument * move loss to training script * cleanup * simplify mixins * fix training script * fix entrypoint for instantiating the AutoencoderRAE * added encoder_image_size config * undo last change * fixes from pretrained weights * cleanups * address reviews * fix train script to use pretrained * fix conversion script review * latebt normalization buffers are now always registered with no-op defaults * Update examples/research_projects/autoencoder_rae/README.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * use image url * Encoder is frozen * fix slow test * remove config * use ModelTesterMixin and AutoencoderTesterMixin * make quality * strip final layernorm when converting * _strip_final_layernorm_affine for training script * fix test * add dispatch forward and update conversion script * update training script * error out as soon as possible and add comments * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * use buffer * inline * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove optional * _noising takes a generator * Update src/diffusers/models/autoencoders/autoencoder_rae.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix api * rename * remove unittest * use randn_tensor * fix device map on multigpu * check if the key is missing in the original state dict and only then add to the allow_missing set * remove initialize_weights --------- Co-authored-by: wangyuqi <wangyuqi@MBP-FJDQNJTWYN-0208.local> Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>	2026-03-05 20:17:14 +05:30
Shenghai Yuan	ae5881ba77	Fix Helios paper link in documentation (#13213) ... * Fix Helios paper link in documentation Updated the link to the Helios paper for accuracy. * Fix reference link in HeliosTransformer3DModel documentation Updated the reference link for the Helios Transformer model paper. * Update Helios research paper link in documentation * Update Helios research paper link in documentation	2026-03-05 18:58:13 +05:30
dg845	ab6040ab2d	Add LTX2 Condition Pipeline (#13058) ... * LTX2 condition pipeline initial commit * Fix pipeline import error * Implement LTX-2-style general image conditioning * Blend denoising output and clean latents in sample space instead of velocity space * make style and make quality * make fix-copies * Rename LTX2VideoCondition image to frames * Update LTX2ConditionPipeline example * Remove support for image and video in __call__ * Put latent_idx_from_index logic inline * Improve comment on using the conditioning mask in denoising loop * Apply suggestions from code review Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com> * make fix-copies * Migrate to Python 3.9+ style type annotations without explicit typing imports * Forward kwargs from preprocess/postprocess_video to preprocess/postprocess resp. * Center crop LTX-2 conditions following original code * Duplicate video and audio position ids if using CFG * make style and make quality * Remove unused index_type arg to preprocess_conditions * Add # Copied from for _normalize_latents * Fix _normalize_latents # Copied from statement * Add LTX-2 condition pipeline docs * Remove TODOs * Support only unpacked latents (5D for video, 4D for audio) * Remove # Copied from for prepare_audio_latents --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>	2026-03-05 00:42:55 -08:00
dg845	33f785b444	Add Helios-14B Video Generation Pipelines (#13208) ... * [1/N] add helios * fix test * make fix-copies * change script path * fix cus script * update docs * fix documented check * update links for docs and examples * change default config * small refactor * add test * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * remove register_buffer for _scale_cache * fix non-cuda devices error * remove "handle the case when timestep is 2D" * refactor HeliosMultiTermMemoryPatch and process_input_hidden_states * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * fix calculate_shift * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * rewritten `einops` in pure `torch` * fix: pass patch_size to apply_schedule_shift instead of hardcoding * remove the logics of 'vae_decode_type' * move some validation into check_inputs() * rename helios scheduler & merge all into one step() * add some details to doc * move dmd step() logics from pipeline to scheduler * change to Python 3.9+ style type * fix NoneType error * refactor DMD scheduler's set_timestep * change rope related vars name * fix stage2 sample * fix dmd sample * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * remove redundant & refactor norm_out * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * change "is_keep_x0" to "keep_first_frame" * use a more intuitive name * refactor dynamic_time_shifting * remove use_dynamic_shifting args * remove usage of UniPCMultistepScheduler * separate stage2 sample to HeliosPyramidPipeline * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_helios.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * fix transformer * use a more intuitive name * update example script * fix requirements * remove redudant attention mask * fix * optimize pipelines * make style . * update TYPE_CHECKING * change to use torch.split Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * derive memory patch sizes from patch_size multiples * remove some hardcoding * move some checks into check_inputs * refactor sample_block_noise * optimize encoding chunks logits for v2v * use num_history_latent_frames = sum(history_sizes) * Update src/diffusers/pipelines/helios/pipeline_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove redudant optimized_scale * Update src/diffusers/pipelines/helios/pipeline_helios_pyramid.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * use more descriptive name * optimize history_latents * remove not used "num_inference_steps" * removed redudant "pyramid_num_stages" * add "is_cfg_zero_star" and "is_distilled" to HeliosPyramidPipeline * remove redudant * change example scripts name * change example scripts name * correct docs * update example * update docs * Update tests/models/transformers/test_models_transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update tests/models/transformers/test_models_transformer_helios.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * separate HeliosDMDScheduler * fix numerical stability issue: * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update src/diffusers/schedulers/scheduling_helios_dmd.py Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * remove redudant * small refactor * remove use_interpolate_prompt logits * simplified model test * fallbackt to BaseModelTesterConfig * remove _maybe_expand_t2v_lora_for_i2v * fix HeliosLoraLoaderMixin * update docs * use randn_tensor for test * fix doc typo * optimize code * mark torch.compile xfail * change paper name * Make get_dummy_inputs deterministic using self.generator * Set less strict threshold for test_save_load_float16 test for Helios pipeline * make style and make quality * Preparation for merging * add torch.Generator * Fix HeliosPipelineOutput doc path * Fix Helios related (optimize docs & remove redudant) (#13210) * fix docs * remove redudant * remove redudant * fix group offload * Removed fixes for group offload --------- Co-authored-by: yuanshenghai <yuanshenghai@bytedance.com> Co-authored-by: Shenghai Yuan <140951558+SHYuanBest@users.noreply.github.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: SHYuanBest <shyuan-cs@hotmail.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-03-04 21:31:43 +05:30
Sayak Paul	4a2833c1c2	[Modular] implement requirements validation for custom blocks (#12196) ... * feat: implement requirements validation for custom blocks. * up * unify. * up * add tests * Apply suggestions from code review Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> * reviewer feedback. * [docs] validation for custom blocks (#13156) validation * move to tmp_path fixture. * propagate to conditional and loopsequential blocks. * up * remove collected tests --------- Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-03-04 12:19:08 +05:30
Dhruv Nair	3fd14f1acf	[AutoModel] Allow registering auto_map to model config (#13186) ... * update * update	2026-03-02 22:13:25 +05:30
YiYi Xu	680076fcc0	[Modular] update the auto pipeline blocks doc (#13148) ... * update * Apply suggestion from @yiyixuxu * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/auto_pipeline_blocks.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * add to api --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal>	2026-02-27 10:50:35 -10:00
Miguel Martin	212db7b999	Cosmos Transfer2.5 Auto-Regressive Inference Pipeline (#13114) ... * AR * address comments * address comments 2	2026-02-25 14:42:29 -10:00
Sayak Paul	aac94befce	[docs] Fix torchrun command argument order in docs (#13181) ... Fix torchrun command argument order in docs	2026-02-24 08:31:39 -08:00
Steven Liu	6875490c3b	[docs] add docs for qwenimagelayered (#13158) ... * add example * feedback	2026-02-18 11:02:15 -08:00
Dhruv Nair	59e7a46928	[Pipelines] Remove k-diffusion (#13152) ... * remove k-diffusion * fix copies	2026-02-16 13:54:24 +05:30
YiYi Xu	c919ec0611	[Modular] add explicit workflow support (#13028) ... * up * up up * update outputs * style * add modular_auto_docstring! * more auto docstring * style * up up up * more more * up * address feedbacks * add TODO in the description for empty docstring * refactor based on dhruv's feedback: remove the class method * add template method * up * up up up * apply auto docstring * make style * rmove space in make docstring * Apply suggestions from code review * revert change in z * fix * Apply style fixes * include auto-docstring check in the modular ci. (#13004) * initial support: workflow * up up * treeat loop sequential pipeline blocks as leaf * update qwen image docstring note * add workflow support for sdxl * add a test suit * add test for qwen-image * refactor flux a bit, seperate modular_blocks into modular_blocks_flux and modular_blocks_flux_kontext + support workflow * refactor flux2: seperate blocks for klein_base + workflow * qwen: remove import support for stuff other than the default blocks * add workflow support for wan * sdxl: remove some imports: * refactor z * update flux2 auto core denoise * add workflow test for z and flux2 * Apply suggestions from code review * Apply suggestions from code review * add test for flux * add workflow test for flux * add test for flux-klein * sdxl: modular_blocks.py -> modular_blocks_stable_diffusion_xl.py * style * up * add auto docstring * workflow_names -> available_workflows * fix workflow test for klein base * Apply suggestions from code review Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com> * fix workflow tests * qwen: edit -> image_conditioned to be consistent with flux kontext/2 such * remove Optional * update type hints * update guider update_components * fix more * update docstring auto again --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>	2026-02-14 16:18:48 -10:00
YiYi Xu	3c7506b294	[Modular] update doc for ModularPipeline (#13100) ... * update create pipeline section * update more * update more * more * add a section on running pipeline moduarly * refactor update_components, remove support for spec * style * bullet points * update the pipeline block * small fix in state doc * update sequential doc * fix link * small update on quikstart * add a note on how to run pipeline without the componen4ts manager * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * remove the supported models mention * update more * up * revert type hint changes --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-161-123.ec2.internal> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-02-14 11:43:28 -10:00
Dhruv Nair	bedc67c75f	[Docs] Add guide for AutoModel with custom code (#13099) ... update	2026-02-10 12:19:44 +05:30
dg845	baaa8d040b	LTX 2 Improve encode_video by Accepting More Input Types (#13057) ... * Support different pipeline outputs for LTX 2 encode_video * Update examples to use improved encode_video function * Fix comment * Address review comments * make style and make quality * Have non-iterator video inputs respect video_chunks_number * make style and make quality * Add warning when encode_video receives a non-denormalized np.ndarray * make style and make quality --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-02-08 19:40:34 -08:00
YiYi Xu	10dc589a94	[modular]simplify components manager doc (#13088) ... * simplify components manager doc * Apply suggestion from @yiyixuxu * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Apply suggestion from @stevhliu Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> --------- Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>	2026-02-06 09:55:34 -10:00
CalamitousFelicitousness	99e2cfff27	Feature/zimage inpaint pipeline (#13006) ... * Add ZImageInpaintPipeline Updated the pipeline structure to include ZImageInpaintPipeline alongside ZImagePipeline and ZImageImg2ImgPipeline. Implemented the ZImageInpaintPipeline class for inpainting tasks, including necessary methods for encoding prompts, preparing masked latents, and denoising. Enhanced the auto_pipeline to map the new ZImageInpaintPipeline for inpainting generation tasks. Added unit tests for ZImageInpaintPipeline to ensure functionality and performance. Updated dummy objects to include ZImageInpaintPipeline for testing purposes. * Add documentation and improve test stability for ZImageInpaintPipeline - Add torch.empty fix for x_pad_token and cap_pad_token in test - Add # Copied from annotations for encode_prompt methods - Add documentation with usage example and autodoc directive * Address PR review feedback for ZImageInpaintPipeline Add batch size validation and callback handling fixes per review, using diffusers conventions rather than suggested code verbatim. * Update src/diffusers/pipelines/z_image/pipeline_z_image_inpaint.py Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com> * Update src/diffusers/pipelines/z_image/pipeline_z_image_inpaint.py Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com> * Add input validation and fix XLA support for ZImageInpaintPipeline - Add missing is_torch_xla_available import for TPU support - Add xm.mark_step() in denoising loop for proper XLA execution - Add check_inputs() method for comprehensive input validation - Call check_inputs() at the start of __call__ Addresses PR review feedback from @asomoza. * Cleanup --------- Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>	2026-02-05 11:48:25 -03:00
Sayak Paul	90818e82b3	[docs] Fix syntax error in quantization configuration (#13076) ... Fix syntax error in quantization configuration	2026-02-04 08:31:03 -08:00
Alan Ponnachan	430c557b6a	Add support for Magcache (#12744) ... * add magcache * formatting * add magcache support with calibration mode * add imports * improvements * Apply style fixes * fix kandinsky errors * add tests and documentation * Apply style fixes * improvements * Apply style fixes * make fix-copies. * minor fixes --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-02-04 13:45:12 +05:30
YiYi Xu	6d4fc6baa0	[Modular] mellon doc etc (#13051) ... * add metadata field to input/output param * refactor mellonparam: move the template outside, add metaclass, define some generic template for custom node * add from_custom_block * style * up up fix * add mellon guide * add to toctree * style * add mellon_types * style * mellon_type -> inpnt_types + output_types * update doc * add quant info to components manager * fix more * up up * fix components manager * update custom block guide * update * style * add a warn for mellon and add new guides to overview * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/mellon.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * more update on custom block guide * Update docs/source/en/modular_diffusers/mellon.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * a few mamual * apply suggestion: turn into bullets * support define mellon meta with MellonParam directly, and update doc * add the video --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: yiyi@huggingface.co <yiyi@ip-26-0-160-103.ec2.internal>	2026-02-03 13:38:57 -10:00
DefTruth	973e334443	feat: support Ulysses Anything Attention (#12996) ... * feat: support Ulysses Anything Attention * feat: support Ulysses Anything Attention * feat: support Ulysses Anything Attention * feat: support Ulysses Anything Attention * fix UAA broken while using joint attn * update * post check * add docs * add docs * remove lru cache * move codes * update	2026-02-02 17:04:32 +05:30
YiYi Xu	769a1f3a12	[Modular]add a real quick start guide (#13029) ... * add a real quick start guide * Update docs/source/en/modular_diffusers/quickstart.md * update a bit more * fix * Apply suggestions from code review Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/quickstart.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/modular_diffusers/quickstart.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * update more * Apply suggestions from code review Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * address more feedbacks: move components amnager earlier, explain blocks vs sub-blocks etc * more * remove the link to mellon guide, not exist in this PR yet --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-01-31 09:43:20 -10:00
Vinh H. Pham	a2ea45a5da	LTX2 distilled checkpoint support (#12934) ... * add constants for distill sigmas values and allow ltx pipeline to pass in sigmas * add time conditioning conversion and token packing for latents * make style & quality * remove prenorm * add sigma param to ltx2 i2v * fix copies and add pack latents to i2v * Apply suggestions from code review Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Infer latent dims if latents/audio_latents is supplied * add note for predefined sigmas * run make style and quality * revert distill timesteps & set original_state_dict_repo_idd to default None * add latent normalize * add create noised state, delete last sigmas * remove normalize step in latent upsample pipeline and move it to ltx2 pipeline * add create noise latent to i2v pipeline * fix copies * parse none value in weight conversion script * explicit shape handling * Apply suggestions from code review Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * make style * add two stage inference tests * add ltx2 documentation * update i2v expected_audio_slice * Apply suggestions from code review Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Apply suggestion from @dg845 Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> * Update ltx2.md to remove one-stage example Removed one-stage generation example code and added comments for noise scale in two-stage generation. --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com> Co-authored-by: Daniel Gu <dgu8957@gmail.com>	2026-01-28 19:35:43 -08:00
Vasiliy Kuznetsov	74a0f0b694	remove torchao autoquant from diffusers docs (#13048) ... Summary: Context: https://github.com/pytorch/ao/issues/3739 Test Plan: CI, since this does not change any Python code	2026-01-28 21:10:22 +05:30
Gal Davidi	d7a1c31f4f	Fibo edit pipeline (#12930) ... * Feature: Add BriaFiboEditPipeline to diffusers * Introduced BriaFiboEditPipeline class with necessary backend requirements. * Updated import structures in relevant modules to include BriaFiboEditPipeline. * Ensured compatibility with existing pipelines and type checking. * Feature: Introduce Bria Fibo Edit Pipeline * Added BriaFiboEditPipeline class for structured JSON-native image editing. * Created documentation for the new pipeline in bria_fibo_edit.md. * Updated import structures to include the new pipeline and its components. * Added unit tests for the BriaFiboEditPipeline to ensure functionality and correctness. * Enhancement: Update Bria Fibo Edit Pipeline and Documentation * Refined the Bria Fibo Edit model description for clarity and detail. * Added usage instructions for model authentication and login. * Implemented mask handling functions in the BriaFiboEditPipeline for improved image editing capabilities. * Updated unit tests to cover new mask functionalities and ensure input validation. * Adjusted example code in documentation to reflect changes in the pipeline's usage. * Update Bria Fibo Edit documentation with corrected Hugging Face page link * add dreambooth training script * style and quality * Delete temp.py * Enhancement: Improve JSON caption validation in DreamBoothDataset * Updated the clean_json_caption function to handle both string and dictionary inputs for captions. * Added error handling to raise a ValueError for invalid caption types, ensuring better input validation. * Add datasets dependency to requirements_fibo_edit.txt * Add bria_fibo_edit to docs table of contents * Fix dummy objects ordering * Fix BriaFiboEditPipeline to use passed generator parameter The pipeline was ignoring the generator parameter and only using the seed parameter. This caused non-deterministic outputs in tests that pass a seeded generator. * Remove fibo_edit training script and related files --------- Co-authored-by: kfirbria <kfir@bria.ai>	2026-01-19 22:09:53 +05:30
Sayak Paul	74654df203	add klein docs. (#12984)	2026-01-16 10:12:42 +05:30
Hameer Abbasi	5efb81fa71	Add ChromaInpaintPipeline (#12848) ... * Add `ChromaInpaintPipeline` * Set `attention_mask` to `dtype=torch.bool` for `ChromaInpaintPipeline`. * Revert `.gitignore`.	2026-01-15 12:58:50 +05:30
Sayak Paul	3c70440d26	Update distributed_inference.md to reposition sections (#12971)	2026-01-13 11:07:39 -08:00
Sayak Paul	7299121413	Z rz rz rz rz rz rz r cogview (#12973) ... * init * add * add 1 * Update __init__.py * rename * 2 * update * init with encoder * merge2pipeline * Update pipeline_glm_image.py * remove sop * remove useless func * Update pipeline_glm_image.py * up (cherry picked from commit cfe19a31b9) * review for work only * change place * Update pipeline_glm_image.py * update * Update transformer_glm_image.py * 1 * no negative_prompt for GLM-Image * remove CogView4LoraLoaderMixin * refactor attention processor. * update * fix * use staticmethod * update * up * up * update * Update glm_image.md * 1 * Update pipeline_glm_image.py * Update transformer_glm_image.py * using new transformers impl * support * resolution change * fix-copies * Update src/diffusers/pipelines/glm_image/pipeline_glm_image.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update pipeline_glm_image.py * use cogview4 * Update pipeline_glm_image.py * Update pipeline_glm_image.py * revert * update * batch support * update * version guard glm image pipeline * validate prompt_embeds and prior_token_ids * try docs. * 4 * up * up * skip properly * fix tests * up * up --------- Co-authored-by: zRzRzRzRzRzRzR <2448370773@qq.com> Co-authored-by: yiyixuxu <yixu310@gmail.com>	2026-01-13 06:39:22 -10:00
Bissmella Bahaduri	9d68742214	Add Unified Sequence Parallel attention (#12693) ... * initial scheme of unified-sp * initial all_to_all_double * bug fixes, added cmnts * unified attention prototype done * remove raising value error in contextParallelConfig to enable unified attention * bug fix * feat: Adds Test for Unified SP Attention and Fixes a bug in Template Ring Attention * bug fix, lse calculation, testing bug fixes, lse calculation - switched to _all_to_all_single helper in _all_to_all_dim_exchange due contiguity issues bug fix bug fix bug fix * addressing comments * sequence parallelsim bug fixes * code format fixes * Apply style fixes * code formatting fix * added unified attention docs and removed test file * Apply style fixes * tip for unified attention in docs at distributed_inference.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update distributed_inference.md, adding benchmarks Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * Update docs/source/en/training/distributed_inference.md Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> * function name fix * fixed benchmark in docs --------- Co-authored-by: KarthikSundar2002 <karthiksundar30092002@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>	2026-01-13 09:16:51 +05:30
Kashif Rasul	dad5cb55e6	Fix QwenImage txt_seq_lens handling (#12702) ... * Fix QwenImage txt_seq_lens handling * formatting * formatting * remove txt_seq_lens and use bool mask * use compute_text_seq_len_from_mask * add seq_lens to dispatch_attention_fn * use joint_seq_lens * remove unused index_block * WIP: Remove seq_lens parameter and use mask-based approach - Remove seq_lens parameter from dispatch_attention_fn - Update varlen backends to extract seqlens from masks - Update QwenImage to pass 2D joint_attention_mask - Fix native backend to handle 2D boolean masks - Fix sage_varlen seqlens_q to match seqlens_k for self-attention Note: sage_varlen still producing black images, needs further investigation * fix formatting * undo sage changes * xformers support * hub fix * fix torch compile issues * fix tests * use _prepare_attn_mask_native * proper deprecation notice * add deprecate to txt_seq_lens * Update src/diffusers/models/transformers/transformer_qwenimage.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Update src/diffusers/models/transformers/transformer_qwenimage.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * Only create the mask if there's actual padding * fix order of docstrings * Adds performance benchmarks and optimization details for QwenImage Enhances documentation with comprehensive performance insights for QwenImage pipeline: * rope_text_seq_len = text_seq_len * rename to max_txt_seq_len * removed deprecated args * undo unrelated change * Updates QwenImage performance documentation Removes detailed attention backend benchmarks and simplifies torch.compile performance description Focuses on key performance improvement with torch.compile, highlighting the specific speedup from 4.70s to 1.93s on an A100 GPU Streamlines the documentation to provide more concise and actionable performance insights * Updates deprecation warnings for txt_seq_lens parameter Extends deprecation timeline for txt_seq_lens from version 0.37.0 to 0.39.0 across multiple Qwen image-related models Adds a new unit test to verify the deprecation warning behavior for the txt_seq_lens parameter * fix compile * formatting * fix compile tests * rename helper * remove duplicate * smaller values * removed * use torch.cond for torch compile * Construct joint attention mask once * test different backends * construct joint attention mask once to avoid reconstructing in every block * Update src/diffusers/models/attention_dispatch.py Co-authored-by: YiYi Xu <yixu310@gmail.com> * formatting * raising an error from the EditPlus pipeline when batch_size > 1 --------- Co-authored-by: Sayak Paul <spsayakpaul@gmail.com> Co-authored-by: YiYi Xu <yixu310@gmail.com> Co-authored-by: cdutr <dutra_carlos@hotmail.com>	2026-01-12 13:45:09 +05:30
Francisco Kurucz	b86bd99eac	Fix link to diffedit implementation reference (#12708)	2026-01-10 11:13:23 -08:00
omahs	5b202111bf	Fix typos (#12705)	2026-01-10 11:11:15 -08:00