* LTX Video 0.9.8 long multi prompt
* Further align comfyui
- Added the “LTXEulerAncestralRFScheduler” scheduler, aligned with [sample_euler_ancestral_RF](7d6103325e/comfy/k_diffusion/sampling.py (L234))
- Updated the LTXI2VLongMultiPromptPipeline.from_pretrained() method:
- Now uses LTXEulerAncestralRFScheduler by default, for better compatibility with the ComfyUI LTXV workflow.
- Changed the default value of cond_strength from 1.0 to 0.5, aligning with ComfyUI’s default.
- Optimized cross-window overlap blending: moved the latent-space guidance injection to before the UNet and after each step, aligned with[KSamplerX0Inpaint]([ComfyUI/comfy/samplers.py at master · comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI/blob/master/comfy/samplers.py#L391))
- Adjusted the default value of skip_steps_sigma_threshold to 1.
* align with diffusers contribute rule
* Add new pipelines and update imports
* Enhance LTXI2VLongMultiPromptPipeline with noise rescaling
Refactor LTXI2VLongMultiPromptPipeline to improve documentation and add noise rescaling functionality.
* Clean up comments in scheduling_ltx_euler_ancestral_rf.py
Removed design notes and limitations from the implementation.
* Enhance video generation example with scheduler
Updated LTXI2VLongMultiPromptPipeline example to include LTXEulerAncestralRFScheduler for ComfyUI parity.
* clean up
* style
* copies
* import ltx scheduler
* copies
* fix
* fix more
* up up
* up up up
* up upup
* Apply suggestions from code review
* Update docs/source/en/api/pipelines/ltx_video.md
* Update docs/source/en/api/pipelines/ltx_video.md
---------
Co-authored-by: yiyixuxu <yixu310@gmail.com>
* [Flux.1] improve pos embed for ascend npu by setting it back to npu computation.
* [Flux.2] improve pos embed for ascend npu by setting it back to npu computation.
* [LongCat-Image] improve pos embed for ascend npu by setting it back to npu computation.
* [Ovis-Image] improve pos embed for ascend npu by setting it back to npu computation.
* Remove unused import of is_torch_npu_available
---------
Co-authored-by: zhangtao <zhangtao529@huawei.com>
* add ltx2 pipeline tests.
* up
* up
* up
* up
* remove content
* style
* Denormalize audio latents in I2V pipeline (analogous to T2V change)
* Initial refactor to put video and audio text encoder connectors in transformer
* Get LTX 2 transformer tests working after connector refactor
* up
* up
* i2v tests.
* up
* Address review comments
* Calculate RoPE double precisions freqs using torch instead of np
* Further simplify LTX 2 RoPE freq calc
* revert unneded changes.
* up
* up
* update to split style rope.
* up
---------
Co-authored-by: Daniel Gu <dgu8957@gmail.com>
* Denormalize audio latents in I2V pipeline (analogous to T2V change)
* Initial refactor to put video and audio text encoder connectors in transformer
* Get LTX 2 transformer tests working after connector refactor
* precompute run_connectors,.
* fixes
* Address review comments
* Calculate RoPE double precisions freqs using torch instead of np
* Further simplify LTX 2 RoPE freq calc
* Make connectors a separate module (#18)
* remove text_encoder.py
* address yiyi's comments.
* up
* up
* up
* up
---------
Co-authored-by: sayakpaul <spsayakpaul@gmail.com>
* Community Pipeline: Add z-image differential img2img
* add pipeline for z-image differential img2img diffusion examples : run make style , make quality, and fix white spaces in example doc string.
---------
Co-authored-by: r4inm4ker <jefri.yeh@gmail.com>
* fix torchao quantizer for new torchao versions
Summary:
`torchao==0.16.0` (not yet released) has some bc-breaking changes, this
PR fixes the diffusers repo with those changes. Specifics on the
changes:
1. `UInt4Tensor` is removed: https://github.com/pytorch/ao/pull/3536
2. old float8 tensors v1 are removed: https://github.com/pytorch/ao/pull/3510
In this PR:
1. move the logger variable up (not sure why it was in the middle of the
file before) to get better error messages
2. gate the old torchao objects by torchao version
Test Plan:
import diffusers objects with new versions of torchao works:
```bash
> python -c "import torchao; print(torchao.__version__); from diffusers import StableDiffusionPipeline"
0.16.0.dev20251229+cu129
```
Reviewers:
Subscribers:
Tasks:
Tags:
* Apply style fixes
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
* remove resolve causality axes stuff.
* remove a bunch of helpers.
* remove adjust output shape helper.
* remove the use of audiolatentshape.
* move normalization and patchify out of pipeline.
* fix
* up
* up
* Remove unpatchify and patchify ops before audio latents denormalization (#9)
---------
Co-authored-by: dg845 <58458699+dg845@users.noreply.github.com>
