* [Lora] first upload
* add first lora version
* upload
* more
* first training
* up
* correct
* improve
* finish loaders and inference
* up
* up
* fix more
* up
* finish more
* finish more
* up
* up
* change year
* revert year change
* Change lines
* Add cloneofsimo as co-author.
Co-authored-by: Simo Ryu <cloneofsimo@gmail.com>
* finish
* fix docs
* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* upload
* finish
Co-authored-by: Simo Ryu <cloneofsimo@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* added dit model
* import
* initial pipeline
* initial convert script
* initial pipeline
* make style
* raise valueerror
* single function
* rename classes
* use DDIMScheduler
* timesteps embedder
* samples to cpu
* fix var names
* fix numpy type
* use timesteps class for proj
* fix typo
* fix arg name
* flip_sin_to_cos and better var names
* fix C shape cal
* make style
* remove unused imports
* cleanup
* add back patch_size
* initial dit doc
* typo
* Update docs/source/api/pipelines/dit.mdx
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* added copyright license headers
* added example usage and toc
* fix variable names asserts
* remove comment
* added docs
* fix typo
* upstream changes
* set proper device for drop_ids
* added initial dit pipeline test
* update docs
* fix imports
* make fix-copies
* isort
* fix imports
* get rid of more magic numbers
* fix code when guidance is off
* remove block_kwargs
* cleanup script
* removed to_2tuple
* use FeedForward class instead of another MLP
* style
* work on mergint DiTBlock with BasicTransformerBlock
* added missing final_dropout and args to BasicTransformerBlock
* use norm from block
* fix arg
* remove unused arg
* fix call to class_embedder
* use timesteps
* make style
* attn_output gets multiplied
* removed commented code
* use Transformer2D
* use self.is_input_patches
* fix flags
* fixed conversion to use Transformer2DModel
* fixes for pipeline
* remove dit.py
* fix timesteps device
* use randn_tensor and fix fp16 inf.
* timesteps_emb already the right dtype
* fix dit test class
* fix test and style
* fix norm2 usage in vq-diffusion
* added author names to pipeline and lmagenet labels link
* fix tests
* use norm_type as string
* rename dit to transformer
* fix name
* fix test
* set norm_type = "layer" by default
* fix tests
* do not skip common tests
* Update src/diffusers/models/attention.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* revert AdaLayerNorm API
* fix norm_type name
* make sure all components are in eval mode
* revert norm2 API
* compact
* finish deprecation
* add slow tests
* remove @
* refactor some stuff
* upload
* Update src/diffusers/pipelines/dit/pipeline_dit.py
* finish more
* finish docs
* improve docs
* finish docs
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: William Berman <WLBberman@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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>
