GitLab

* Fix typos

* Fix `pipe.enable_model_cpu_offload()` usage

* Fix cpu offloading

* Update numbers

Fix grammatical error

sampling bug fix in basic_training.md

In the diffusers basic training tutorial, setting the manual seed argument (generator=torch.manual_seed(config.seed)) in the pipeline call inside evaluate() function rewinds the dataloader shuffling, leading to overfitting due to the model seeing same sequence of training examples after every evaluation call. Using generator=torch.Generator(device='cpu').manual_seed(config.seed) avoids this.

* update

* update

* Fix resume_downoad FutureWarning

* only resume download

run the documentation workflow in a custom container.

[Community Pipeline] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation (#8239)

* code and doc

* update paper link

* remove redundant codes

* add example video

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* update

* update

* update

* update

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

update

* fix?

* fix?

* fix

make VAE compatible to torch.compile()
Co-authored-by: YiYi Xu <yixu310@gmail.com>

Fixed few docstrings according to the Google Style Guide.

* Update pipeline_stable_diffusion_instruct_pix2pix.py

Add `cross_attention_kwargs` to `__call__` method of `StableDiffusionInstructPix2PixPipeline`, which are passed to UNet.

* Update documentation for pipeline_stable_diffusion_instruct_pix2pix.py

* Update docstring

* Update docstring

* Fix typing import

* 1. add doc for PixArtSigmaPipeline;

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Guillaume LEGENDRE <glegendre01@gmail.com>
Co-authored-by: Álvaro Somoza <asomoza@users.noreply.github.com>
Co-authored-by: Bagheera <59658056+bghira@users.noreply.github.com>
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Hyoungwon Cho <jhw9811@korea.ac.kr>
Co-authored-by: yiyixuxu <yixu310@gmail.com>
Co-authored-by: Tolga Cangöz <46008593+standardAI@users.noreply.github.com>
Co-authored-by: Philip Pham <phillypham@google.com>

* checking tests

* checking ii.

* remove prints.

* test_pixart_1024

* fix 1024.

* make _callback_tensor_inputs consistent between sdxl pipelines

* forgot this one

* fix failing test

* fix test_components_function

* fix controlnet inpaint tests

Fix conditional teacher model check in train_lcm_distill_lora_sdxl_wds.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

Fix CLIP to T5 in logger warning

* Merged isinstance calls to make the code simpler.

* Corrected formatting errors using ruff.

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

* add a workflow that can be manually triggered on a PR.

* remove sudo

* add command

* small fixes.

* Init commit

* Removed einops

* Added default movq config for training

* Update explanation of prompts

* Fixed inheritance of discriminator and init_tracker

* Fixed incompatible api between muse and here

* Fixed output

* Setup init training

* Basic structure done

* Removed attention for quick tests

* Style fixes

* Fixed vae/vqgan styles

* Removed redefinition of wandb

* Fixed log_validation and tqdm

* Nothing commit

* Added commit loss to lookup_from_codebook

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

* Adding perliminary README

* Fixed one typo

* Local changes

* Fixed main issues

* Merging

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

* Testing+Fixed bugs in training script

* Some style fixes

* Added wandb to docs

* Fixed timm test

* get testing suite ready.

* remove return loss

* remove return_loss

* Remove diffs

* Remove diffs

* fix ruff format

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

decorate StableDiffusion21PipelineSingleFileSlowTests with slow.

add boxdiff to community examples

Fix `added_cond_kwargs` when using IP-Adapter

Fix error when using IP-Adapter in pipeline and passing `ip_adapter_image_embeds` instead of `ip_adapter_image`
Co-authored-by: YiYi Xu <yixu310@gmail.com>

separate the loading utilities in modeling similar to pipelines.

update to use hf-workflows for reporting

* Expand `diffusers-cli env`

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

* Move `safetensors_version = "not installed"` to `else`

* Update `safetensors_version` checking

* Add GPU detection for Linux, Mac OS, and Windows

* Add accelerator detection to environment command

* Add is_peft_version to import_utils

* Update env.py

* Add `huggingface_hub` reference

* Add `transformers` reference

* Add reference for `huggingface_hub`

* Fix print statement in env.py for unusual OS

* Up

* Fix platform information in env.py

* up

* Fix import order in env.py

* ruff

* make style

* Fix platform system check in env.py

* Fix run method return type in env.py

* 🤗



* No need f-string

* Remove location info

* Remove accelerate config

* Refactor env.py to remove accelerate config

* feat: Add support for `bitsandbytes` library in environment command

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

* fixed vae loading issue #7619

* rerun make style && make quality

* bring back model_has_vae and add change \ to / in config_file_name on windows os to make match work

* add missing import platform

* bring back import model_info

* make config_file_name OS independent

* switch to using Path.as_posix() to resolve OS dependence

* improve style

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
Co-authored-by: bssrdf <bssrdf@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

Bump transformers in /examples/research_projects/realfill

Bumps [transformers](https://github.com/huggingface/transformers) from 4.36.0 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v4.36.0...v4.38.0

)

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

Update requirements.txt

If the datasets library is old, it will not read the metadata.jsonl and the label will default to an integer of type int.
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

fix multicontrolnet save_pretrained logic for compatibility
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* check

* check 2.

* update slices