- 11 Apr, 2023 3 commits
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George Ogden authored
* Update documentation Based on sampling, the width and height must be powers of 2 as the samples halve in size each time * make style
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Will Berman authored
* `AttentionProcessor.group_norm` num_channels should be `query_dim` The group_norm on the attention processor should really norm the number of channels in the query _not_ the inner dim. This wasn't caught before because the group_norm is only used by the added kv attention processors and the added kv attention processors are only used by the karlo models which are configured such that the inner dim is the same as the query dim. * add_{k,v}_proj should be projecting to inner_dim -
Patrick von Platen authored
* [Config] Fix config prints and save, load * Only use potential nn.Modules for dtype and device * Correct vae image processor * make sure in_channels is not accessed directly * make sure in channels is only accessed via config * Make sure schedulers only access config attributes * Make sure to access config in SAG * Fix vae processor and make style * add tests * uP * make style * Fix more naming issues * Final fix with vae config * change more
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- 10 Apr, 2023 5 commits
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William Berman authored
`encoder_hid_dim` provides an additional projection for the input `encoder_hidden_states` from `encoder_hidden_dim` to `cross_attention_dim`
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William Berman authored
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William Berman authored
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William Berman authored
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William Berman authored
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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 2 commits
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Nipun Jindal authored
Co-authored-by:njindal <njindal@adobe.com>
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Patrick von Platen authored
Improve init
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- 27 Mar, 2023 2 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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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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- 23 Mar, 2023 4 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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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 1 commit
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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 3 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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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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- 14 Mar, 2023 2 commits
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Ilmari Heikkinen authored
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Haiwen Huang authored
* fix the in-place modification in unet condition when using controlnet, which will cause backprop errors when training * add clone to mid block * fix-copies --------- Co-authored-by:
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- 13 Mar, 2023 2 commits
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Takuma Mori authored
* support for List[ControlNetModel] on init() * Add to support for multiple ControlNetCondition * rename conditioning_scale to scale * scaling bugfix * Manually merge `MultiControlNet` #2621 Co-authored-by:
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Patrick von Platen authored
* [attention] Fix attention * fix * correct
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- 10 Mar, 2023 1 commit
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Patrick von Platen authored
* [From pretrained] Speed-up loading from cache * up * Fix more * fix one more bug * make style * bigger refactor * factor out function * Improve more * better * deprecate return cache folder * clean up * improve tests * up * upload * add nice tests * simplify * finish * correct * fix version * rename * Apply suggestions from code review Co-authored-by:
Lucain <lucainp@gmail.com> * rename * correct doc string * correct more * Apply suggestions from code review Co-authored-by:
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- 09 Mar, 2023 1 commit
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Patrick von Platen authored
* improve error message * upload
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- 07 Mar, 2023 1 commit
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clarencechen authored
* Improve dynamic threshold * Update code * Add dynamic threshold to ddim and ddpm * Encapsulate and leverage code copy mechanism Update style * Clean up DDPM/DDIM constructor arguments * add test * also add to unipc --------- Co-authored-by:
Peter Lin <peterlin9863@gmail.com> Co-authored-by:
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- 06 Mar, 2023 1 commit
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Patrick von Platen authored
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- 03 Mar, 2023 1 commit
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alvanli authored
Remove explicit message argument
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- 02 Mar, 2023 2 commits
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Ilmari Heikkinen authored
* Tiled VAE for high-res text2img and img2img * vae tiling, fix formatting * enable_vae_tiling API and tests * tiled vae docs, disable tiling for images that would have only one tile * tiled vae tests, use channels_last memory format * tiled vae tests, use smaller test image * tiled vae tests, remove tiling test from fast tests * up * up * make style * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * make style * improve naming * finish * apply suggestions * Apply suggestions from code review Co-authored-by:
Ilmari Heikkinen <ilmari@fhtr.org> Co-authored-by:
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Takuma Mori authored
* add scaffold - copied convert_controlnet_to_diffusers.py from convert_original_stable_diffusion_to_diffusers.py * Add support to load ControlNet (WIP) - this makes Missking Key error on ControlNetModel * Update to convert ControlNet without error msg - init impl for StableDiffusionControlNetPipeline - init impl for ControlNetModel * cleanup of commented out * split create_controlnet_diffusers_config() from create_unet_diffusers_config() - add config: hint_channels * Add input_hint_block, input_zero_conv and middle_block_out - this makes missing key error on loading model * add unet_2d_blocks_controlnet.py - copied from unet_2d_blocks.py as impl CrossAttnDownBlock2D,DownBlock2D - this makes missing key error on loading model * Add loading for input_hint_block, zero_convs and middle_block_out - this makes no error message on model loading * Copy from UNet2DConditionalModel except __init__ * Add ultra primitive test for ControlNetModel inference * Support ControlNetModel inference - without exceptions * copy forward() from UNet2DConditionModel * Impl ControlledUNet2DConditionModel inference - test_controlled_unet_inference passed * Frozen weight & biases for training * Minimized version of ControlNet/ControlledUnet - test_modules_controllnet.py passed * make style * Add support model loading for minimized ver * Remove all previous version files * from_pretrained and inference test passed * copied from pipeline_stable_diffusion.py except `__init__()` * Impl pipeline, pixel match test (almost) passed. * make style * make fix-copies * Fix to add import ControlNet blocks for `make fix-copies` * Remove einops dependency * Support np.ndarray, PIL.Image for controlnet_hint * set default config file as lllyasviel's * Add support grayscale (hw) numpy array * Add and update docstrings * add control_net.mdx * add control_net.mdx to toctree * Update copyright year * Fix to add PIL.Image RGB->BGR conversion - thanks @Mystfit * make fix-copies * add basic fast test for controlnet * add slow test for controlnet/unet * Ignore down/up_block len check on ControlNet * add a copy from test_stable_diffusion.py * Accept controlnet_hint is None * merge pipeline_stable_diffusion.py diff * Update class name to SDControlNetPipeline * make style * Baseline fast test almost passed (w long desc) * still needs investigate. Following didn't passed descriped in TODO comment: - test_stable_diffusion_long_prompt - test_stable_diffusion_no_safety_checker Following didn't passed same as stable_diffusion_pipeline: - test_attention_slicing_forward_pass - test_inference_batch_single_identical - test_xformers_attention_forwardGenerator_pass these seems come from calc accuracy. * Add note comment related vae_scale_factor * add test_stable_diffusion_controlnet_ddim * add assertion for vae_scale_factor != 8 * slow test of pipeline almost passed Failed: test_stable_diffusion_pipeline_with_model_offloading - ImportError: `enable_model_offload` requires `accelerate v0.17.0` or higher but currently latest version == 0.16.0 * test_stable_diffusion_long_prompt passed * test_stable_diffusion_no_safety_checker passed - due to its model size, move to slow test * remove PoC test files * fix num_of_image, prompt length issue add add test * add support List[PIL.Image] for controlnet_hint * wip * all slow test passed * make style * update for slow test * RGB(PIL)->BGR(ctrlnet) conversion * fixes * remove manual num_images_per_prompt test * add document * add `image` argument docstring * make style * Add line to correct conversion * add controlnet_conditioning_scale (aka control_scales strength) * rgb channel ordering by default * image batching logic * Add control image descriptions for each checkpoint * Only save controlnet model in conversion script * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py typo Co-authored-by:
dqueue <dbyqin@gmail.com> * remove controlnet constructor arguments re: @patrickvonplaten * [integration tests] test canny * test_canny fixes * [integration tests] test_depth * [integration tests] test_hed * [integration tests] test_mlsd * add channel order config to controlnet * [integration tests] test normal * [integration tests] test_openpose test_scribble * change height and width to default to conditioning image * [integration tests] test seg * style * test_depth fix * [integration tests] size fixes * [integration tests] cpu offloading * style * generalize controlnet embedding * fix conversion script * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx Co-authored-by:
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- 01 Mar, 2023 2 commits
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Pedro Cuenca authored
Bring flax attention naming in sync with PyTorch.
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Patrick von Platen authored
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- 27 Feb, 2023 1 commit
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Patrick von Platen authored
* [Safetensors] Make sure metadata is saved * make style
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- 17 Feb, 2023 1 commit
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Pedro Cuenca authored
Fix typo in AttnProcessor2_0 symbol.
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