GitLab

fix RuntimeError: Input type (float) and bias type (c10::Half) should be the same in train_text_to_image_lora.py (#6259)

* fix RuntimeError: Input type (float) and bias type (c10::Half) should be the same

* format source code

* format code

* remove the autocast blocks within the pipeline

* add autocast blocks to pipeline caller in train_text_to_image_lora.py

Fix typos in the `ValueError` for a nested image list as `StableDiffusionControlNetPipeline` input. (#6286)

Fixed typos in the `ValueError` for a nested image list as input.

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

* initialize alpha too.

* add: test

* remove config parsing

* store rank

* debug

* remove faulty test

* Fix ProdigyOPT in SDXL Dreambooth script

* style

* style

* [Community Pipeline] Add Marigold Monocular Depth Estimation

- add single-file pipeline
- update README

* fix format - add one blank line

* format script with ruff

* use direct image link in example code

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

update

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

amused

rename

Update docs/source/en/api/pipelines/amused.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

AdaLayerNormContinuous default values

custom micro conditioning

micro conditioning docs

put lookup from codebook in constructor

fix conversion script

remove manual fused flash attn kernel

add training script

temp remove training script

add dummy gradient checkpointing func

clarify temperatures is an instance variable by setting it

remove additional SkipFF block args

hardcode norm args

rename tests folder

fix paths and samples

fix tests

add training script

training readme

lora saving and loading

non-lora saving/loading

some readme fixes

guards

Update docs/source/en/api/pipelines/amused.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

Update examples/amused/README.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

Update examples/amused/train_amused.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>

vae upcasting

add fp16 integration tests

use tuple for micro cond

copyrights

remove casts

delegate to torch.nn.LayerNorm

move temperature to pipeline call

upsampling/downsampling changes

ldm3d.

remove pix2pix zero from init

* move panorama out.

* fix: diffedit

* fix: import.

* fix: impirt

* move attend and excite out.

* fix: import

* fix diffedit

See #6185 for context.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

move sag out of .

* move gligen out of stable diffusion.

* fix: import

* fix import module

move k diffusion out of stable_diffusion

* remove depcreated method from lora scripts

* check code quality

This reverts commit bcecfbc8.

* move diffedit out of stable_diffuson

* fix: import

* style

* fix: import

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

Bump transformers in /examples/research_projects/realfill

Bumps [transformers](https://github.com/huggingface/transformers) from 4.34.0 to 4.36.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.34.0...v4.36.0

)

---
updated-dependencies:
- dependency-name: transformers
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* separate out upsamplers and downsamplers.

* import all the necessary blocks in resnet for backward comp.

* move upsample2d and downsample2d to utils.

* move downsample_2d to downsamplers.py

* apply feedback

* fix import

* samplers -> sampling

* EulerAncestral add `rescale_betas_zero_snr`

Uses same infinite sigma fix from EulerDiscrete. Interestingly the
ancestral version had the opposite problem: too much contrast instead of
too little.

* UT for EulerAncestral `rescale_betas_zero_snr`

* EulerAncestral upcast samples during step()

It helps this scheduler too, particularly when the model is using bf16.

While the noise dtype is still the model's it's automatically upcasted
for the add so all it affects is determinism.

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

* Update regional_prompting_stable_diffusion.py

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* reformat

* regormat

* reformat

* reformat

* reformat

* reformat

* Update regional_prompting_stable_diffusion.py

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

batched seed

fix document on masked image in inpainting controlnet

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

* add peft dependency

* add peft dependency at the correct place.

update

* fix: unscale fp16 gradient problem

* fix for dreambooth lora sdxl

* make the type-casting conditional.

* Apply suggestions from code review
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>

* fix: init for vae during pixart tests

* print the values

* add flatten

* correct assertion value for test_inference

* correct assertion values for test_inference_non_square_images

* run styling

* debug test_inference_with_multiple_images_per_prompt

* fix assertion values for test_inference_with_multiple_images_per_prompt

* offload image_encoder

* add test

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

* Add converter method for ip adapters

* Move converter method

* Update to image proj converter

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

update

* [SVD] Fix guidance scale

* make style

* Update train_text_to_image_lora.py

* Fix typo?

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Co-authored-by: M. Tolga Cangöz <46008593+standardAI@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>