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Author SHA1 Message Date
Sayak Paul
294a5f0d65 Merge branch 'main' into sd3-test-refactor 2026-03-27 16:12:27 +05:30
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
Sayak Paul
b757035df6 fix claude workflow to include id-token with write. (#13338) 2026-03-26 15:39:10 +05:30
DN6
6ec4dee783 update 2026-03-26 15:25:08 +05:30
DN6
50015c966a update 2026-03-26 15:21:29 +05:30
kaixuanliu
41e1003316 avoid hardcode device in flux-control example (#13336) 
Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
 2026-03-26 12:40:53 +05:30
Sayak Paul
85ffcf1db2 [tests] Tests for conditional pipeline blocks (#13247) 
* implement test suite for conditional blocks.

* remove

* another fix.

* Revert "another fix."

This reverts commit ab07b603ab.
 2026-03-26 08:48:16 +05:30
Steven Liu
cbf4d9a3c3 [docs] kernels (#13139) 
* kernels

* feedback
 2026-03-25 09:31:54 -07:00
Sayak Paul
426daabad9 [ci] claude in ci. (#13297) 
* claude in ci.

* review feedback.
 2026-03-25 21:30:06 +05:30
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
Sayak Paul
e358ddcce6 fix to device and to dtype tests. (#13323) 2026-03-25 11:47:02 +05:30
Sayak Paul
153fcbc5a8 fix klein lora loading. (#13313) 2026-03-25 07:51:35 +05:30
Beinsezii
da6718f080 ZImageTransformer2D: Only build attention mask if seqlens are not equal (#12955) 2026-03-24 06:06:50 -10:00
Alexey Kirillov
832676d35e Use defaultdict for _SET_ADAPTER_SCALE_FN_MAPPING (#13320) 
refactor: use defaultdict for _SET_ADAPTER_SCALE_FN_MAPPING

Co-authored-by: Alexkkir <alexkkir@gmail.coom>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-24 17:49:50 +05:30
Dhruv Nair
7bbd96da5d [CI] Update fetching pipelines for latest HF Hub Version (#13322) 
update
 2026-03-24 16:42:32 +05:30
Dhruv Nair
62777fa819 Fix unguarded torchvision import in Cosmos (#13321) 
update
 2026-03-24 16:00:24 +05:30
Sayak Paul
f1fd515257 [tests] fix lora logging tests for models. (#13318) 
* fix lora logging tests for models.

* make style
 2026-03-24 15:48:03 +05:30
Cheung Ka Wai
afdda57f61 Fix the attention mask in ulysses SP for QwenImage (#13278) 
* fix mask in SP

* change the modification to qwen specific

* drop xfail since qwen-image mask is fixed

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-24 02:12:50 -07:00
YangKai0616
5fc2bd2c8f Stabilize low-precision custom autoencoder RMS normalization (#13316) 
* Stabilize low-precision custom autoencoder RMS normalization

* Add fp8/4

* Apply style fixes

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
 2026-03-24 02:00:05 -07:00
Sayak Paul
6350a7690a [chore] properly deprecate src.diffusers.utils.testing_utils. (#13314) 
properly deprecate src.diffusers.utils.testing_utils.
 2026-03-24 10:54:35 +05:30
Cheung Ka Wai
9d4c9dcf21 change QwenImageTransformer UT to batch inputs (#13312) 
* UT expands to batch inputs

* update according to suggestion

* update according to suggestion 2

* fix CI

* update according to suggestion 3

* clean line
 2026-03-24 08:56:40 +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
Charles
b9761ce5a2 [export] Add export-safe LRU cache helper (#13290) 
* [core] Add export-safe LRU cache helper

* torch version check!

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-23 18:10:07 +05:30
Dhruv Nair
52558b45d8 [CI] Flux2 Model Test Refactor (#13071) 
* update

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-23 16:56:08 +05:30
Sayak Paul
c02c17c6ee [tests] test load_components in modular (#13245) 
* test load_components.

* fix

* fix

* u[

* up
 2026-03-21 09:41:48 +05:30
Sayak Paul
a9855c4204 [tests] fix audioldm2 tests. (#13293) 
fix audioldm2 tests.
 2026-03-20 20:53:21 +05:30
Sayak Paul
0b35834351 [core] fa4 support. (#13280) 
* start fa4 support.

* up

* specify minimum version
 2026-03-20 17:28:09 +05:30
Sayak Paul
522b523e40 [ci] hoping to fix is_flaky with wanvace. (#13294) 
* hoping to fix is_flaky with wanvace.

* revert changes in src/diffusers/utils/testing_utils.py and propagate them to tests/testing_utils.py.

* up
 2026-03-20 16:02:16 +05:30
Dhruv Nair
e9b9f25f67 [CI] Update transformer version in release tests (#13296) 
update
 2026-03-20 11:40:06 +05:30
Dhruv Nair
32b4cfc81c [Modular] Test for catching dtype and device issues with AutoModel type hints (#13287) 
* update

* update

* update
 2026-03-20 10:36:03 +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
dg845
072d15ee42 Add Support for LTX-2.3 Models (#13217) 
* Initial implementation of perturbed attn processor for LTX 2.3

* Update DiT block for LTX 2.3 + add self_attention_mask

* Add flag to control using perturbed attn processor for now

* Add support for new video upsampling blocks used by LTX-2.3

* Support LTX-2.3 Big-VGAN V2-style vocoder

* Initial implementation of LTX-2.3 vocoder with bandwidth extender

* Initial support for LTX-2.3 per-modality feature extractor

* Refactor so that text connectors own all text encoder hidden_states normalization logic

* Fix some bugs for inference

* Fix LTX-2.X DiT block forward pass

* Support prompt timestep embeds and prompt cross attn modulation

* Add LTX-2.3 configs to conversion script

* Support converting LTX-2.3 DiT checkpoints

* Support converting LTX-2.3 Video VAE checkpoints

* Support converting LTX-2.3 Vocoder with bandwidth extender

* Support converting LTX-2.3 text connectors

* Don't convert any upsamplers for now

* Support self attention mask for LTX2Pipeline

* Fix some inference bugs

* Support self attn mask and sigmas for LTX-2.3 I2V, Cond pipelines

* Support STG and modality isolation guidance for LTX-2.3

* make style and make quality

* Make audio guidance values default to video values by default

* Update to LTX-2.3 style guidance rescaling

* Support cross timesteps for LTX-2.3 cross attention modulation

* Fix RMS norm bug for LTX-2.3 text connectors

* Perform guidance rescale in sample (x0) space following original code

* Support LTX-2.3 Latent Spatial Upsampler model

* Support LTX-2.3 distilled LoRA

* Support LTX-2.3 Distilled checkpoint

* Support LTX-2.3 prompt enhancement

* Make LTX-2.X processor non-required so that tests pass

* Fix test_components_function tests for LTX2 T2V and I2V

* Fix LTX-2.3 Video VAE configuration bug causing pixel jitter

* Apply suggestions from code review

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Refactor LTX-2.X Video VAE upsampler block init logic

* Refactor LTX-2.X guidance rescaling to use rescale_noise_cfg

* Use generator initial seed to control prompt enhancement if available

* Remove self attention mask logic as it is not used in any current pipelines

* Commit fixes suggested by claude code (guidance in sample (x0) space, denormalize after timestep conditioning)

* Use constant shift following original code

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-19 14:58:29 -07:00
kaixuanliu
67613369bb fix: 'PaintByExampleImageEncoder' object has no attribute 'all_tied_w… (#13252) 
* fix: 'PaintByExampleImageEncoder' object has no attribute 'all_tied_weights_keys'

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* also fix LDMBertModel

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

---------

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2026-03-18 17:55:08 -10:00
Shenghai Yuan
0c01a4b5e2 [Helios] Remove lru_cache for better AoTI compatibility and cleaner code (#13282) 
fix: drop lru_cache for better AoTI compatibility
 2026-03-18 23:41:58 +05:30
kaixuanliu
8e4b5607ed skip invalid test case for helios pipeline (#13218) 
* skip invalid test case for helio pipeline

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* update skip reason

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

---------

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
 2026-03-17 20:58:35 -10:00
Junsong Chen
c6f72ad2f6 add ltx2 vae in sana-video; (#13229) 
* add ltx2 vae in sana-video;

* add ltx vae in conversion script;

* Update src/diffusers/pipelines/sana_video/pipeline_sana_video.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/sana_video/pipeline_sana_video.py

Co-authored-by: YiYi Xu <yixu310@gmail.com>

* condition `vae_scale_factor_xxx` related settings on VAE types;

* make the mean/std depends on vae class;

---------

Co-authored-by: YiYi Xu <yixu310@gmail.com>
 2026-03-17 18:09:52 -10:00
Dhruv Nair
11a3284cee [CI] Qwen Image Model Test Refactor (#13069) 
* update

* update

* update

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-17 16:44:04 +05:30
Sayak Paul
16e7067647 [tests] fix llava kwargs in the hunyuan tests (#13275) 
fix llava kwargs in the hunyuan tests
 2026-03-17 10:11:47 +05:30
Dhruv Nair
d1b3555c29 [Modular] Fix dtype assignment when type hint is AutoModel (#13271) 
* update

* update
 2026-03-17 09:47:53 +05:30
Wang, Yi
9677859ebf fix parallelism case failure in xpu (#13270) 
* fix parallelism case failure in xpu

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* updated

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

---------

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
 2026-03-17 08:52:15 +05:30
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
teith
4bc1c59a67 fix: correct invalid type annotation for image in Flux2Pipeline.__call__ (#13205) 
fix: correct invalid type annotation for image in Flux2Pipeline.__call__
 2026-03-13 15:56:38 -03:00
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
Sayak Paul
8d0f3e1ba8 [lora] fix z-image non-diffusers lora loading. (#13255) 
fix z-image non-diffusers lora loading.
 2026-03-13 06:58:53 +05:30
huemin
094caf398f klein 9b kv (#13262) 
* klein 9b kv

* Apply style fixes

* fix typo inline modulation split

* make fix-copies

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
 2026-03-12 06:53:56 -10:00
Alvaro Bartolome
81c354d879 Add PRXPipeline in AUTO_TEXT2IMAGE_PIPELINES_MAPPING (#13257) 2026-03-11 14:39:24 -03:00
Miguel Martin
0a2c26d0a4 Update Documentation for NVIDIA Cosmos (#13251) 
* fix docs

* update main example
 2026-03-11 09:14:56 -07:00