GitLab

* timestep_spacing for FlaxDPMSolverMultistepScheduler

* Style

* first draft

* edits

* feedback

* fix other tests

* fix tests

* fix tests

* Update tests/pipelines/shap_e/test_shap_e_img2img.py

* Update tests/pipelines/shap_e/test_shap_e_img2img.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix upstream merge mistake

* fix tests:

* test fix

* Update tests/lora/test_lora_layers_old_backend.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Update tests/lora/test_lora_layers_old_backend.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

```
do_binarize (`bool`, *optional*, defaults to `True`)
|
v
do_binarize (`bool`, *optional*, defaults to `False`)
```

* merge with main

* fix flax example

* fix onnx example

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

* Timestep bias for fine-tuning SDXL

* Adjust parameter choices to include "range" and reword the help statements

* Condition our use of weighted timesteps on the value of timestep_bias_strategy

* style

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

* test fix

* fix tests

* fix report name

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

* try to fix docs

* try to fix docs

* Fix FullAdapterXL.total_downscale_factor.

* Fix incorrect error message in T2IAdapter.__init__(...).

* Move IP-Adapter test_total_downscale_factor(...) to pipeline test file (requested in code review).

* Add more info to error message about an unsupported T2I-Adapter adapter_type.

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

Make sure the repo_id is valid before sending it to huggingface_hub to get a more understandable error message.

Re #5110
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know (#5155)

* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know

* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know

* empty

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

* Fix type annotation on Scheduler.from_pretrained

* Fix type annotation on PIL.Image

* [Doc builder] Ensure slow import for doc builder

* Apply suggestions from code review

* env for doc builder

* fix more

* [Diffusers] Set import to slow as env variable

* fix docs

* fix docs

* Apply suggestions from code review

* Apply suggestions from code review

* fix docs

* fix docs

* fix cpu offload

* fix

* fix

* Update src/diffusers/pipelines/pipeline_utils.py

* make style

* Apply suggestions from code review
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fix more

* fix more

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

cpu offload fix for blip diffusion

* add is flaky decorator

* fix more

* print

* print

* print

* print

* print

* debugging

* debugging

* debugging

* debugging

* safer condition.

* remove prints and try excepts.

* Empty-Commit

* Apply suggestions from code review

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

* remove to _device() for sigmas

* update add_noise to use simgas

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

* finish first draft

* feedback

* feedback

* support transformer_layers_per block in flax UNet

* add support for text_time additional embeddings to Flax UNet

* rename attention layers for VAE

* add shape asserts when renaming attention layers

* transpose VAE attention layers

* add pipeline flax SDXL code [WIP]

* continue add pipeline flax SDXL code [WIP]

* cleanup

* Working on JIT support

Fixed prompt embedding shapes so they work in parallel mode. Assuming we
always have both text encoders for now, for simplicity.

* Fixing embeddings (untested)

* Remove spurious line

* Shard guidance_scale when jitting.

* Decode images

* Fix sharding

* style

* Refiner UNet can be loaded.

* Refiner / img2img pipeline

* Allow latent outputs from base and latent inputs in refiner

This makes it possible to chain base + refiner without having to use the
vae decoder in the base model, the vae encoder in the refiner, skipping
conversions to/from PIL, and avoiding TPU <-> CPU memory copies.

* Adapt to FlaxCLIPTextModelOutput

* Update Flax XL pipeline to FlaxCLIPTextModelOutput

* make fix-copies

* make style

* add euler scheduler

* Fix import

* Fix copies, comment unused code.

* Fix SDXL Flax imports

* Fix euler discrete begin

* improve init import

* finish

* put discrete euler in init

* fix flax euler

* Fix more

* make style

* correct init

* correct init

* Temporarily remove FlaxStableDiffusionXLImg2ImgPipeline

* correct pipelines

* finish

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Co-authored-by: Martin Müller <martin.muller.me@gmail.com>
Co-authored-by: patil-suraj <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* SDXL: update links to refine docs

* make style

* more fixes

* up

* up

* style

* add in setup

* oops

* more changes

* v1 rzfactor CI

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

* few todos

* protect torch import

* style

* fix fuse text encoder

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

* replace with `recurse_replace_peft_layers`

* keep old modules for BC

* adjustments on `adjust_lora_scale_text_encoder`

* nit

* move tests

* add conversion utils

* remove unneeded methods

* use class method instead

* oops

* use `base_version`

* fix examples

* fix CI

* fix weird error with python 3.8

* fix

* better fix

* style

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

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

* add comment

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

* conv2d support for recurse remove

* added docstrings

* more docstring

* add deprecate

* revert

* try to fix merge conflicts

* v1 tests

* add new decorator

* add saving utilities test

* adapt tests a bit

* add save / from_pretrained tests

* add saving tests

* add scale tests

* fix deps tests

* fix lora CI

* fix tests

* add comment

* fix

* style

* add slow tests

* slow tests pass

* style

* Update src/diffusers/utils/import_utils.py
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

* circumvents pattern finding issue

* left a todo

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

* update hub path

* add lora workflow

* fix

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Benjamin Bossan <BenjaminBossan@users.noreply.github.com>

Add missing parenthesis in the sample code of BLIP Diffusion

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

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

* min-SNR gamma for Dreambooth training

* Align the mse_loss_weights style with SDXL training example

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

* Add BLIP Diffusion skeleton

* Add other model components

* Add BLIP2, need to change it for now

* Fix pipeline imports

* Load pretrained ViT

* Make qformer fwd pass same

* Replicate fwd passes

* Fix device bug

* Add accelerate functions

* Remove extra functions from Blip2

* Minor bug

* Integrate initial review changes

* Refactoring

* Refactoring

* Refactor

* Add controlnet

* Refactor

* Update conversion script

* Add image processor

* Shift postprocessing to ImageProcessor

* Refactor

* Fix device

* Add fast tests

* Update conversion script

* Fix checkpoint conversion script

* Integrate review changes

* Integrate reivew changes

* Remove unused functions from test

* Reuse HF image processor in Cond image

* Create new BlipImageProcessor based on transfomers

* Fix image preprocessor

* Minor

* Minor

* Add canny preprocessing

* Fix controlnet preprocessing

* Fix blip diffusion test

* Add controlnet test

* Add initial doc strings

* Integrate review changes

* Refactor

* Update examples

* Remove DDIM comments

* Add copied from for prepare_latents

* Add type anotations

* Add docstrings

* Do black formatting

* Add batch support

* Make tests pass

* Make controlnet tests pass

* Black formatting

* Fix progress bar

* Fix some licensing comments

* Fix imports

* Refactor controlnet

* Make tests faster

* Edit examples

* Black formatting/Ruff

* Add doc

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

* Move controlnet pipeline

* Make tests faster

* Fix imports

* Fix formatting

* Fix make errors

* Fix make errors

* Minor

* Add suggested doc changes
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Edit docs

* Fix 16 bit loading

* Update examples

* Edit toctree

* Update docs/source/en/api/pipelines/blip_diffusion.md
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* Minor

* Add tips

* Edit examples

* Update model paths

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

Co-authored-by: bghira <bghira@users.github.com>

* use python 3.7 instead

* Update setup.py

* add config_files parser #5114

* add config_files parser_fix #5114

* better condition.

* debugging

* how about now?

* how about now?

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* debugging

* support for lycoris.

* style

* add: lycoris test

* fix from_pretrained call.

* fix assertion values.

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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Resolve v_prediction issue for min-SNR gamma weighted loss function

* Combine MSE loss calculation of epsilon and velocity, with a note about the application of the epsilon code to sample prediction

* style

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