GitLab

* Allow low precision sd xl

* finish

* finish

* feat: initial draft for supporting text encoder lora finetuning for SDXL DreamBooth

* fix: variable assignments.

* add: autocast block.

* add debugging

* vae dtype hell

* fix: vae dtype hell.

* fix: vae dtype hell 3.

* clean up

* lora text encoder loader.

* fix: unwrapping models.

* add: tests.

* docs.

* handle unexpected keys.

* fix vae dtype in the final inference.

* fix scope problem.

* fix: save_model_card args.

* initialize: prefix to None.

* fix: dtype issues.

* apply gixes.

* debgging.

* debugging

* debugging

* debugging

* debugging

* debugging

* add: fast tests.

* pre-tokenize.

* address: will's comments.

* fix: loader and tests.

* fix: dataloader.

* simplify dataloader.

* length.

* simplification.

* make style && make quality

* simplify state_dict munging

* fix: tests.

* fix: state_dict packing.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix: #4206

* add: sdxl controlnet training smoketest.

* remove unnecessary token inits.

* add: licensing to model card.

* include SDXL licensing in the model card and make public visibility default

* debugging

* debugging

* disable local file download.

* fix: training test.

* fix: ckpt prefix.

* [Docs] Fix from pretrained docs

* [Docs] Fix from pretrained docs

docs: Add missing import statement in textual_inversion inference instructions

remove coming soon, rl pipeline

Allow specifying denoising_start and denoising_end as integers representing the discrete timesteps, fixing the XL ensemble not working for many schedulers (#4115)

* Fix the XL ensemble not working for any kerras scheduler sigmas and having an off by one bug

* Update src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py

* make sytle

---------

Co-authored-by: Jimmy <39@🇺🇸

.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

docs: changed path for control net

* Fix controlnet xl inference

* correct some sd xl control inference

* [SDXL] Fix sd xl encode prompt

* add tests

* Raise initial HTTPError if pipeline is not cached locally

* make style

* fix bug in sdxl

* Update pipeline_stable_diffusion_xl_img2img.py

* Update pipeline_stable_diffusion_xl.py

* Update pipeline_stable_diffusion_xl_img2img.py

* Update pipeline_stable_diffusion_xl_inpaint.py

* Update pipeline_stable_diffusion_xl.py

* Update pipeline_stable_diffusion_xl_img2img.py

* Update pipeline_stable_diffusion_xl_inpaint.py

* Update pipeline_stable_diffusion_xl_img2img.py

* Update pipeline_controlnet_sd_xl.py

* Update pipeline_controlnet_sd_xl.py

* Update pipeline_stable_diffusion_xl.py

* Update pipeline_stable_diffusion_xl_img2img.py

* Update pipeline_stable_diffusion_xl_inpaint.py

* Update test_stable_diffusion_xl.py

* Update test_stable_diffusion_xl.py

* Update test_stable_diffusion_xl.py

add test on prompt_embeds

* add test on prompt_embeds

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix bug when no cfg

* style

* fix no cfg for shap-e and cycle

* style

* fix no cfg for sdxl

* fix copies

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

fix: missed network_alpha when loading lora from old format

fix: Typo in dreambooth example README.md

* start with stable diffusion

* fix

* finish stable diffusion pipelines

* fix path to pipeline output

* fix flax paths

* fix copies

* add up to score sde ve

* finish first pass of pipelines

* fix copies

* second review

* align doc titles

* more review fixes

* final review

* 📄 Renamed File for Better Understanding

Renamed the 'rl' file to 'run_locomotion'. This change was made to improve the clarity and readability of the codebase. The 'rl' name was ambiguous, and 'run_locomotion' provides a more clear description of the file's purpose.

Thanks 🙌

* 📁

 [Docs] Renamed Directory for Better Clarity

Renamed the 'rl' directory to 'reinforcement_learning'. This change provides a clearer understanding of the directory's purpose and its contents.

* Update examples/reinforcement_learning/README.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* 📝

 Update README

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* hash computation. thanks to @lhoestq

* disable dtype casting.

* remove comments.

* sdxl prompt2

* Improve checks

* doc linting

* whoops

* remove cat

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add other pipelines and tests

* Add multi-prompting to docs

* doc and copies check

* Fix copied froms

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Bring back the original code for unrelated files

* Fix tests

* Fix img2img

* Fix all

* fix

---------
Co-authored-by: multimodalart <joaopaulo.passos+multimodal@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* make enable_sequential_cpu_offload more generic for third-party devices

* make style

Remove safety from controlnet

* fix from signle file

* Make sure converison always works with safetensors

* add output_type=mesh

* update img2img

* make style

* add doc

* make style

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* add docstring for output_type

* add a section in doc about hub mesh visualization/ rotation

* update conversion script so default background is white

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Update src/diffusers/pipelines/shap_e/pipeline_shap_e_img2img.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* renderer -> shap_e_renderer

* img2img renderer -> shap_e_renderer

* fix tests

---------
Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* added AsymmetricAutoencoderKL

* fixed copies+dummy

* added script to convert original asymmetric vqgan

* added docs

* updated docs

* fixed style

* fixes, added tests

* update doc

* fixed doc

* fixed tests

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

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

* udpated code example

* updated doc

* comments fixes

* added docstring
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* comments fixes

* added inpaint pipeline tests

* comment suggestion: delete method

* yet another fixes

---------
Co-authored-by: Ruslan Vorovchenko <r.vorovchenko@prequelapp.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Fix bug in ControlNetPipelines with MultiControlNetModel of length 1

* Add tests for varying number of ControlNet models

* Fix missing indexing for control_guidance_start and control_guidance_end

* Fix code quality

* Separate test for MultiControlNet with one model

* Revert formatting of earlier test

fix inner_dim

* Add controlnet from single file

* Updates

* make style

* finish

* Apply suggestions from code review
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

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

* feat: add act_fn param to OutValueFunctionBlock

* feat: update unet1d tests to not use mish

* feat: add `mish` as the default activation function
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* feat: drop mish tests from unet1d

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Using pipeline_class argument to instantiate the correct pipeline when loading SDXL models from single files

* docs: first draft of BentoML integration

* Update the diffusers doc

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add BentoML integration guide under Optimization section

* restyle codes

---------
Co-authored-by: Sherlock113 <sherlockxu07@gmail.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add: controlnet sdxl.

* modifications to controlnet.

* run styling.

* add: __init__.pys

* incorporate https://github.com/huggingface/diffusers/pull/4019

 changes.

* run make fix-copies.

* resize the conditioning images.

* remove autocast.

* run styling.

* disable autocast.

* debugging

* device placement.

* back to autocast.

* remove comment.

* save some memory by reusing the vae and unet in the pipeline.

* apply styling.

* Allow low precision sd xl

* finish

* finish

* changes to accommodate the improved VAE.

* modifications to how we handle vae encoding in the training.

* make style

* make existing controlnet fast tests pass.

* change vae checkpoint cli arg.

* fix: vae pretrained paths.

* fix: steps in get_scheduler().

* debugging.

* debugging./

* fix: weight conversion.

* add: docs.

* add: limited tests./

* add: datasets to the requirements.

* update docstrings and incorporate the usage of watermarking.

* incorporate fix from #4083

* fix watermarking dependency handling.

* run make-fix-copies.

* Empty-Commit

* Update requirements_sdxl.txt

* remove vae upcasting part.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* run make style

* run make fix-copies.

* disable suppot for multicontrolnet.

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* run make fix-copies.

* dtyle/.

* fix-copies.

---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add Recent Timestep Scheduling Improvements to DDIM Inverse Scheduler

Roll timesteps by one to reflect origin-destination semantic discrepancy

Restore `set_alpha_to_one` option to handle negative initial timesteps

Remove `set_alpha_to_zero` option not used due to previous truncation

* Bugfix

* Remove unnecessary calls to `detach()`

Use `self.image_processor.preprocess` in DiffEdit pipeline functions

* Preprocess list input for inverted image latents in diffedit pipeline

* Add `timestep_spacing` and `steps_offset` to `DPMSolverMultistepInverseScheduler`

* Update expected test results to account for inverting last forward diffusion step

* Fix inversion progress bar bug

* Add first draft for proper fast tests for DDIMInverseScheduler

* Add deprecated DDIMInverseScheduler kwarg to ConfigMixer registry

* Fix test failure in DPMMultistepInverseScheduler

Invert step specification leads to negative noise variance in SDE-based algs

Add first draft for proper fast tests for DPMMultistepInverseScheduler

* Update expected test results to account for inverting last forward diffusion step

Clean up diffedit fast test

* create general cpu offload & execution device

* Remove boiler plate

* finish

* kp

* Correct offload more pipelines

* up

* Update src/diffusers/pipelines/pipeline_utils.py

* make style

* up

add rank in dreambooth

* feat) optimization kr translation

* fix) typo, italic setting

* feat) dreambooth, text2image kr

* feat) lora kr

* fix) LoRA

* fix) fp16 fix

* fix) doc-builder style

* fix) fp16 일부 단어 수정

* fix) fp16 style fix

* fix) opt, training docs update

* merge conflict

* Fix community pipelines (#3266)

* Allow disabling torch 2_0 attention (#3273)

* Allow disabling torch 2_0 attention

* make style

* Update src/diffusers/models/attention.py

* Release: v0.16.1

* feat) toctree update

* feat) toctree update

* Fix custom releases (#3708)

* Fix custom releases

* make style

* Fix loading if unexpected keys are present (#3720)

* Fix loading

* make style

* Release: v0.17.0

* opt_overview

* commit

* Create pipeline_overview.mdx

* unconditional_image_generatoin_1stDraft

* ✨ Add translation for write_own_pipeline.mdx

* conditional-직역, 언컨디셔널

* unconditional_i...

* Quick implementation of t2i-adapter

Load adapter module with from_pretrained

Prototyping generalized adapter framework

Writeup doc string for sideload framework(WIP) + some minor update on implementation

Update adapter models

Remove old adapter optional args in UNet

Add StableDiffusionAdapterPipeline unit test

Handle cpu offload in StableDiffusionAdapterPipeline

Auto correct coding style

Update model repo name to "RzZ/sd-v1-4-adapter-pipeline"

Refactor MultiAdapter to better compatible with config system

Export MultiAdapter

Create pipeline document template from controlnet

Create dummy objects

Supproting new AdapterLight model

Fix StableDiffusionAdapterPipeline common pipeline test

[WIP] Update adapter pipeline document

Handle num_inference_steps in StableDiffusionAdapterPipeline

Update definition of Adapter "channels_in"

Update documents

Apply code style

Fix doc typo and merge error

Update doc string and example

Q...

* 📝 Update doc with more descriptive title and filename for "IF" section

Updated the documentation to provide a more descriptive title and filename for the "IF" section. Previously, having only "IF" as the title was not conveying a clear meaning. By renaming the section to "DeepFloyd IF," we provide users with a more informative and context-specific heading.

Thanks! 🙌

* 📝 Update name for "IF" section in 📝 Update name for "IF" section in README

Updated the link and name for the "IF" section in the README file to reflect the new heading "DeepFloyd IF."

* 📝 Fix broken link for "Instruct Pix2Pix" section in README

Fixed the broken link for the "Instruct Pix2Pix" section in the README file. Previously, the link was pointing to an incorrect location due to the presence of "stable_diffusion" in the URL. By removing "stable_diffusion" from the URL, I have corrected the error and ensured that users are directed to the correct section.

* 🔧💼 Updated parameters in _toctree.yml file

- ✏️ Updated 'local' parameter to 'api/pipelines/deepfloyd_if'.
- ✏️ Updated 'title' parameter to 'DeepFloyd IF'.

🎯 These changes aim to improve visibility and accessibility in the documentation of the DeepFloyd IF pipeline. 🚀📚