GitLab

* add: support TCD scheduler


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

* Create promptdiffusioncontrolnet.py

* Update __init__.py

Added PromptDiffusionControlNetModel

* Update __init__.py

Added PromptDiffusionControlNetModel

* Update promptdiffusioncontrolnet.py

* Create pipeline_prompt_diffusion.py

Added Prompt Diffusion pipeline.

* Create convert_original_promptdiffusion_to_diffusers.py

* Update convert_from_ckpt.py

Added download_promptdiffusion_from_original_ckpt, convert_promptdiffusion_checkpoint

* Update promptdiffusioncontrolnet.py

* Update pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Delete src/diffusers/models/promptdiffusioncontrolnet.py

* Update __init__.py

* Update __init__.py

* Delete scripts/convert_original_promptdiffusion_to_diffusers.py

* Update convert_from_ckpt.py

* Update README.md

* Delete examples/community/pipeline_prompt_diffusion.py

* Create README.md

* Create promptdiffusioncontrolnet.py

* Create convert_original_promptdiffusion_to_diffusers.py

* Create pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Update README.md

* Update pipeline_prompt_diffusion.py

* Update convert_original_promptdiffusion_to_diffusers.py

* Update promptdiffusioncontrolnet.py

* Update README.md

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

errors should be caught as soon as possible.

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

* update svd docs

* fix example doc string

* update return type hints/docs

* update type hints

* Fix typos in pipeline_stable_video_diffusion.py

* make style && make fix-copies

* Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/diffusers/pipelines/stable_video_diffusion/pipeline_stable_video_diffusion.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* update based on suggestion

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Co-authored-by: M. Tolga Cangöz <mtcangoz@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Enable FakeTensorMode for EulerDiscreteScheduler scheduler

PyTorch's FakeTensorMode does not support `.numpy()` or `numpy.array()`
calls.

This PR replaces `sigmas` numpy tensor by a PyTorch tensor equivalent

Repro

```python
with torch._subclasses.FakeTensorMode() as fake_mode, ONNXTorchPatcher():
    fake_model = DiffusionPipeline.from_pretrained(model_name, low_cpu_mem_usage=False)
```

that otherwise would fail with
`RuntimeError: .numpy() is not supported for tensor subclasses.`

* Address comments

* Fix typos

* Fix typos

* Fix typos and update documentation in lora.md

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

* fix

* fix

* update comment

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Co-authored-by: yiyixuxu <yixu310@gmail,com>

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add tags for diffusers training

* add dora tags for drambooth lora scripts

* style

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

* add is_dora arg

* style

* add dora training feature to sd 1.5 script

* added notes about DoRA training

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

Internal message: https://huggingface.slack.com/archives/C03Q18WK18T/p1709529892062479

* refactor callback

* run make style

* add copy

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

more elaborate example for peft torch.compile

* feat: add ip adapter benchmark

* sdxl support too.

* Empty-Commit

* initial

* check_inputs fix to the rest of pipelines

* add fix for no cfg too

* use of variable

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

* feat 256px diffusers inference bug

* change the max_length of T5 to pipeline config file

* fix bug in convert_pixart_alpha_to_diffusers.py

* Update scripts/convert_pixart_alpha_to_diffusers.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* remove multi_scale_train parser

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* Update src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>

* styling

* change `model_token_max_length` to call argument.

* Refactoring

* add: max_sequence_length to the docstring.

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

* add: dreambooth lora script for Playground v2.5

* fix: kwarg

* address suraj's comments.

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* apply suraj's suggestion

* incorporate changes in the canonical script./

* tracker naming

* fix: schedule determination

* add: two simple tests

* remove playground script

* note about edm-style training

* address pedro's comments.

* address part of Suraj's comments.

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* remove guidance_scale.

* use mse_loss.

* add comments for preconditioning.

* quality

* Update examples/dreambooth/train_dreambooth_lora_sdxl.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* tackle v-pred.

* Empty-Commit

* support edm for sdxl too.

* address suraj's comments.

* Empty-Commit

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Co-authored-by: Suraj Patil <surajp815@gmail.com>

fix
Co-authored-by: yiyixuxu <yixu310@gmail,com>

* Speed up dataset mapping

* Fix missing columns

* Remove cache files cleanup

* Update examples/text_to_image/train_text_to_image_sdxl.py

* make style

* Fix code style

* style

* Empty-Commit

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>

Update train_text_to_image_sdxl.py

update

* make workflow dispatchable.

* fix: lcm lora compile

pin uv version for now.

fix: path

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

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Add copyright notice to relevant files and fix typos

* Set `timestep_spacing` parameter of `StableDiffusionXLPipeline`'s scheduler to `'trailing'`.

* Update `StableDiffusionXLPipeline.from_single_file` by including EulerAncestralDiscreteScheduler with `timestep_spacing="trailing"` param.

* Update model loading method in SDXL Turbo documentation

* update

* update

* use uv for installing stuff in the workflows.

* fix: from source installation command when using uv.

* fix uv venv issue

* edit editable installation.

* fix quality installation

* checking

* make editable.

* more check

* check

* add: export step

* venv handling.

* checking.

* fix: dependency workflows.

* peft tests.

* proper way to initialize env.

* Empty-Commit

* Empty-Commit

update

* move model helper function in pipeline to EfficiencyMixin

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

* fix

* fix

* remove stalebot's ability to close issues

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Co-authored-by: yiyixuxu <yixu310@gmail,com>

update

* fix kwarg

* Empty-Commit

make tests conditional and other things.

* DPMMultistep rescale_betas_zero_snr

* DPM upcast samples in step()

* DPM rescale_betas_zero_snr UT

* DPMSolverMulti move sample upcast after model convert

Avoids having to re-use the dtype.

* Add a newline for Ruff