re: https://github.com/huggingface/diffusers/issues/1857
We relax some of the checks to deal with unclip reproducibility issues. Mainly by checking the average pixel difference (measured w/in 0-255) instead of the max pixel difference (measured w/in 0-1).
- [x] add mixin to UnCLIPPipelineFastTests
- [x] add mixin to UnCLIPImageVariationPipelineFastTests
- [x] Move UnCLIPPipeline flags in mixin to base class
- [x] Small MPS fixes for F.pad and F.interpolate
- [x] Made test unCLIP model's dimensions smaller to run tests faster
* [Stable Diffusion Img2Img] resize source images to integer multiple of 8 instead of 32
* [Alt Diffusion Img2Img] resize source images to multiple of 8 instead of 32
* [Img2Img] fix AltDiffusion Img2Img resolution test
* [Img2Img] add Stable Diffusion Img2Img resolution test
* [Cycle Diffusion] round resolution to multiplies of 8 instead of 32
* [ONNX SD Img2Img] round resolution to multiplies of 64 instead of 32
* [SD Depth2Img] round resolution to multiplies of 8 instead of 32
* [Repaint] round resolution to multiplies of 8 instead of 32
* fix make style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* from_flax
* oops
* oops
* make style with pip install -e ".[dev]"
* oops
* now code quality happy 😋
* allow_patterns += FLAX_WEIGHTS_NAME
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* for test
* bye bye is_flax_available()
* oops
* Update src/diffusers/models/modeling_pytorch_flax_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Update src/diffusers/models/modeling_pytorch_flax_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Update src/diffusers/models/modeling_pytorch_flax_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Update src/diffusers/models/modeling_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* make style
* add test
* finihs
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* implemented multi subject dreambooth in research_projects
* minor edits to readme
* added style and quality fixes
Co-authored-by: Krista Opsahl-Ong <kristaopsahlong@gmail.com>
* init for korean docs
* edit build yml file for multi language docs
* edit one more build yml file for multi language docs
* add title for get_frontmatter error
* add translating.md
* default language for docs is en
* Update docs/TRANSLATING.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [Repro] Correct reproducability
* up
* up
* uP
* up
* need better image
* allow conversion from no state dict checkpoints
* up
* up
* up
* up
* check tensors
* check tensors
* check tensors
* check tensors
* next try
* up
* up
* better name
* up
* up
* Apply suggestions from code review
* correct more
* up
* replace all torch randn
* fix
* correct
* correct
* finish
* fix more
* up
* init for korean docs
* edit build yml file for multi language docs
* edit one more build yml file for multi language docs
* add title for get_frontmatter error
* Various Fixes for Flax Dreambooth
- Correctly update the progress bar every epoch
- Allow specifying a pretrained VAE
- Allow specifying a revision to pretrained models
- Cache compiled models between invocations (speeds up TPU execution a lot!)
- Save intermediate checkpoints by specifying `save_steps`
* Don't die when save_steps is not set.
* Address CR
* Address comments
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Support training SD V2 with Flax
Mostly involves supporting a v_prediction scheduler.
The implementation in #1777 doesn't take into account a recent refactor of `scheduling_utils_flax`, so this should be used instead.
* Add to other top-level files.
* [Deterministic torch randn] Allow tensors to be generated on CPU
* fix more
* up
* fix more
* up
* Update src/diffusers/utils/torch_utils.py
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
* Apply suggestions from code review
* up
* up
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Anton Lozhkov <anton@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Will Berman