- 31 Mar, 2023 6 commits
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Patrick von Platen authored
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Patrick von Platen authored
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Nipun Jindal authored
* [2884]: Fix cross_attention_kwargs in StableDiffusionImg2ImgPipeline * [Build Fix] * [Build Fix] --------- Co-authored-by:njindal <njindal@adobe.com>
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Sandeep authored
* Remove suggestion to use cuDNN benchmark in docs * removing the wrong line * add support for embeds * fix line length
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Guillermo Cique authored
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Takuma Mori authored
* add use_karras_sigmas option thanks @Stax124 * fix sigma_min/max from scheduler.sigmas * add docstring * revert to use k_diffusion_model.sigma, to(device) * add integration test * make style
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- 30 Mar, 2023 1 commit
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Pi Esposito authored
* add load textual inversion embeddings draft * fix quality * fix typo * make fix copies * move to textual inversion mixin * make it accept from sd-concept library * accept list of paths to embeddings * fix styling of stable diffusion pipeline * add dummy TextualInversionMixin * add docstring to textualinversionmixin * add load textual inversion embeddings draft * fix quality * fix typo * make fix copies * move to textual inversion mixin * make it accept from sd-concept library * accept list of paths to embeddings * fix styling of stable diffusion pipeline * add dummy TextualInversionMixin * add docstring to textualinversionmixin * add case for parsing embedding from auto1111 UI format Co-authored-by:
Evan Jones <evan.a.jones3@gmail.com> Co-authored-by:
Ana Tamais <aninhamoraestamais@gmail.com> * fix style after rebase * move textual inversion mixin to loaders * move mixin inheritance to DiffusionPipeline from StableDiffusionPipeline) * update dummy class name * addressed allo comments * fix old dangling import * fix style * proposal * remove bogus * Apply suggestions from code review Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> Co-authored-by:
Will Berman <wlbberman@gmail.com> * finish * make style * up * fix code quality * fix code quality - again * fix code quality - 3 * fix alt diffusion code quality * fix model editing pipeline * Apply suggestions from code review Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> * Finish --------- Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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- 28 Mar, 2023 10 commits
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Nipun Jindal authored
Co-authored-by: -
dg845 authored
Add warning in __init__ if user loads a checkpoint with pipeline.unet.config.in_channels other than 9.
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Felix Blanke authored
Add last_epoch arg to optimization.get_scheduler. Allows the specification of the index of the last epoch when resuming training.
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cmdr2 authored
Update the legacy inpainting SD pipeline, to allow calling it with only prompt_embeds (instead of always requiring a prompt) (#2842) Fix error 'required positional argument: prompt' when Legacy Inpaint is called only with prompt_embeds
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Li-Huai (Allan) Lin authored
* Remove duplicate sentence * format
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junhsss authored
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Stax124 authored
* Allow user to disable SafetyChecker and enable dtypes if loading models from .ckpt or .safetensors * Fix Import sorting (Ruff error) * Get rid of the dtype convert method as it was implemented all along * Fix the docstring * Fix ruff formatting --------- Co-authored-by: -
Patrick von Platen authored
Improve init
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Pedro Cuenca authored
* Workaround for saving dynamo-wrapped models. * Accept suggestion from code review Co-authored-by:
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Sayak Paul authored
* add: better warning messages when handling multiple conditioning. * fix: handling of controlnet_conditioning_scale
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- 27 Mar, 2023 3 commits
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Pedro Cuenca authored
* Helper function to disable custom attention processors. * Restore code deleted by mistake. * Format * Fix modeling_text_unet copy.
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Eugene Lyapustin authored
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Pedro Cuenca authored
* Apply same ruff settings as in transformers See https://github.com/huggingface/transformers/blob/main/pyproject.toml Co-authored-by:
Aaron Gokaslan <aaronGokaslan@gmail.com> * Apply new style rules * Style Co-authored-by:
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- 24 Mar, 2023 4 commits
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Bahjat Kawar authored
* comment update * comment update
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Patrick von Platen authored
* up * fix more 7 * up * finish
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PeixuanZuo authored
* update import onnxruntime package, enable onnxruntime-rocm and onnxruntime-training * add ort_nightly_gpu
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Bahjat Kawar authored
* TIME first commit * styling. * styling 2. * fixes; tests * apply styling and doc fix. * remove sups. * fixes * remove temp file * move augmentations to const * added doc entry * code quality * customize augmentations * quality * quality --------- Co-authored-by:
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- 23 Mar, 2023 5 commits
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Sanchit Gandhi authored
* Add AudioLDM * up * add vocoder * start unet * unconditional unet * clap, vocoder and vae * clean-up: conversion scripts * fix: conversion script token_type_ids * clean-up: pipeline docstring * tests: from SD * clean-up: cpu offload vocoder instead of safety checker * feat: adapt tests to audioldm * feat: add docs * clean-up: amend pipeline docstrings * clean-up: make style * clean-up: make fix-copies * fix: add doc path to toctree * clean-up: args for conversion script * clean-up: paths to checkpoints * fix: use conditional unet * clean-up: make style * fix: type hints for UNet * clean-up: docstring for UNet * clean-up: make style * clean-up: remove duplicate in docstring * clean-up: make style * clean-up: make fix-copies * clean-up: move imports to start in code snippet * fix: pass cross_attention_dim as a list/tuple to unet * clean-up: make fix-copies * fix: update checkpoint path * fix: unet cross_attention_dim in tests * film embeddings -> class embeddings * Apply suggestions from code review Co-authored-by:
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YiYi Xu authored
* add contronet flax --------- Co-authored-by:yiyixuxu <yixu310@gmail,com>
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Kashif Rasul authored
* initial TokenEncoder and ContinuousEncoder * initial modules * added ContinuousContextTransformer * fix copy paste error * use numpy for get_sequence_length * initial terminal relative positional encodings * fix weights keys * fix assert * cross attend style: concat encodings * make style * concat once * fix formatting * Initial SpectrogramPipeline * fix input_tokens * make style * added mel output * ignore weights for config * move mel to numpy * import pipeline * fix class names and import * moved models to models folder * import ContinuousContextTransformer and SpectrogramDiffusionPipeline * initial spec diffusion converstion script * renamed config to t5config * added weight loading * use arguments instead of t5config * broadcast noise time to batch dim * fix call * added scale_to_features * fix weights * transpose laynorm weight * scale is a vector * scale the query outputs * added comment * undo scaling * undo depth_scaling * inital get_extended_attention_mask * attention_mask is none in self-attention * cleanup * manually invert attention * nn.linear need bias=False * added T5LayerFFCond * remove to fix conflict * make style and dummy * remove unsed variables * remove predict_epsilon * Move accelerate to a soft-dependency (#1134) * finish * finish * Update src/diffusers/modeling_utils.py * Update src/diffusers/pipeline_utils.py Co-authored-by:
Anton Lozhkov <anton@huggingface.co> * more fixes * fix Co-authored-by:
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Naoki Ainoya authored
The 'CLIPFeatureExtractor' class name has been renamed to 'CLIPImageProcessor' in order to comply with future deprecation. This commit includes the necessary changes to the affected files.
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Patrick von Platen authored
* [UNet3DModel] Fix attn processor * make style
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- 22 Mar, 2023 1 commit
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Patrick von Platen authored
* [MS Text To Video} Add first text to video * upload * make first model example * match unet3d params * make sure weights are correcctly converted * improve * forward pass works, but diff result * make forward work * fix more * finish * refactor video output class. * feat: add support for a video export utility. * fix: opencv availability check. * run make fix-copies. * add: docs for the model components. * add: standalone pipeline doc. * edit docstring of the pipeline. * add: right path to TransformerTempModel * add: first set of tests. * complete fast tests for text to video. * fix bug * up * three fast tests failing. * add: note on slow tests * make work with all schedulers * apply styling. * add slow tests * change file name * update * more correction * more fixes * finish * up * Apply suggestions from code review * up * finish * make copies * fix pipeline tests * fix more tests * Apply suggestions from code review Co-authored-by:
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- 21 Mar, 2023 3 commits
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Will Berman authored
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1lint authored
add test_to_dtype to check pipe.to(fp16)
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Alexander Pivovarov authored
Co-authored-by:
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- 17 Mar, 2023 1 commit
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Andy authored
* updated black format * update black format * make style format * updated line endings * update code formatting * Update examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py Co-authored-by:
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- 16 Mar, 2023 2 commits
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Patrick von Platen authored
Improve error message
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Nicolas Patry authored
* Adding `use_safetensors` argument to give more control to users about which weights they use. * Doc style. * Rebased (not functional). * Rebased and functional with tests. * Style. * Apply suggestions from code review * Style. * Addressing comments. * Update tests/test_pipelines.py Co-authored-by:
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- 15 Mar, 2023 4 commits
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Patrick von Platen authored
* rename file * rename attention * fix more * rename more * up * more deprecation imports * fixes
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YiYi Xu authored
* add image_processor --------- Co-authored-by:
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Kashif Rasul authored
* fix AttnProcessor2_0 Fix use of AttnProcessor2_0 for cross attention with mask * added scale_qk and out_bias flags * fixed for xformers * check if it has scale argument * Update cross_attention.py * check torch version * fix sliced attn * style * set scale * fix test * fixed addedKV processor * revert back AttnProcessor2_0 * if missing if * fix inner_dim --------- Co-authored-by: -
Henrik Forstén authored
* Controlnet training code initial commit Works with circle dataset: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md * Script for adding a controlnet to existing model * Fix control image transform Control image should be in 0..1 range. * Add license header and remove more unused configs * controlnet training readme * Allow nonlocal model in add_controlnet.py * Formatting * Remove unused code * Code quality * Initialize controlnet in training script * Formatting * Address review comments * doc style * explicit constructor args and submodule names * hub dataset NOTE - not tested * empty prompts * add conditioning image * rename * remove instance data dir * image_transforms -> -1,1 . conditioning_image_transformers -> 0, 1 * nits * remove local rank config I think this isn't necessary in any of our training scripts * validation images * proportion_empty_prompts typo * weight copying to controlnet bug * call log validation fix * fix * gitignore wandb * fix progress bar and resume from checkpoint iteration * initial step fix * log multiple images * fix * fixes * tracker project name configurable * misc * add controlnet requirements.txt * update docs * image labels * small fixes * log validation using existing models for pipeline * fix for deepspeed saving * memory usage docs * Update examples/controlnet/train_controlnet.py Co-authored-by:
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