- 05 Jun, 2023 1 commit
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YiYi Xu authored
VaeImageProcessor.preprocess refactor * refactored VaeImageProcessor - allow passing optional height and width argument to resize() - add convert_to_rgb * refactored prepare_latents method for img2img pipelines so that if we pass latents directly as image input, it will not encode it again * added a test in test_pipelines_common.py to test latents as image inputs * refactored img2img pipelines that accept latents as image: - controlnet img2img, stable diffusion img2img , instruct_pix2pix --------- Co-authored-by:
yiyixuxu <yixu310@gmail,com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com>
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- 26 May, 2023 1 commit
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Patrick von Platen authored
* Fix guess mode controlnet for euler-like schedulers * make style * Co-authored-by: Chanchana Sornsoontorn <off.chanchana@gmail.com> * Add co author Co-authored-by: Chanchana Sornsoontorn <off.chanchana@gmail.com> * 2nd try Co-authored-by:Chanchana Sornsoontorn <off.chanchana@gmail.com>
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- 16 May, 2023 1 commit
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Patrick von Platen authored
* refactor controlnet and add img2img and inpaint * First draft to get pipelines to work * make style * Fix more * Fix more * More tests * Fix more * Make inpainting work * make style and more tests * Apply suggestions from code review * up * make style * Fix imports * Fix more * Fix more * Improve examples * add test * Make sure import is correctly deprecated * Make sure everything works in compile mode * make sure authorship is correctly attributed
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- 11 May, 2023 1 commit
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Takuma Mori authored
* add inferring_controlnet_cond_batch * Revert "add inferring_controlnet_cond_batch" This reverts commit abe8d6311d4b7f5b9409ca709c7fabf80d06c1a9. * set guess_mode to True whenever global_pool_conditions is True Co-authored-by:
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- 09 May, 2023 1 commit
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YiYi Xu authored
* add text2img * fix-copies * add * add all other pipelines * add * add * add * add * add * make style * style + fix copies --------- Co-authored-by:
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- 06 May, 2023 1 commit
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At-sushi authored
* test: Added test case * fix: fixed type checking issue on _encode_prompt * fix: fixed copies consistency * fix: one copy was not sufficient
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- 02 May, 2023 1 commit
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Patrick von Platen authored
* Fix more torch compile breaks * add tests * Fix all * fix controlnet * fix more * Add Horace He as co-author. > > Co-authored-by:
Horace He <horacehe2007@yahoo.com> * Add Horace He as co-author. Co-authored-by:
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- 01 May, 2023 1 commit
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Patrick von Platen authored
* fix more * Fix more * fix more * Apply suggestions from code review * fix * make style * make fix-copies * fix * make sure torch compile * Clean * fix test
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- 25 Apr, 2023 1 commit
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Isaac authored
adding enable_vae_tiling and disable_val_tiling functions
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- 19 Apr, 2023 1 commit
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1lint authored
* add mixin class for pipeline from original sd ckpt * Improve * make style * merge main into * Improve more * fix more * up * Apply suggestions from code review * finish docs * rename * make style --------- Co-authored-by:
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- 16 Apr, 2023 1 commit
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Tommaso De Rossi authored
fix breaking change
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- 14 Apr, 2023 1 commit
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Takuma Mori authored
* add guess mode (WIP) * fix uncond/cond order * support guidance_scale=1.0 and batch != 1 * remove magic coeff * add docstring * add intergration test * add document to controlnet.mdx * made the comments a bit more explanatory * fix table
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- 11 Apr, 2023 1 commit
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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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- 31 Mar, 2023 1 commit
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Patrick von Platen 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:
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:
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- 28 Mar, 2023 2 commits
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Li-Huai (Allan) Lin authored
* Remove duplicate sentence * format
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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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- 23 Mar, 2023 1 commit
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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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- 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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- 15 Mar, 2023 2 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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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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- 13 Mar, 2023 1 commit
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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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- 02 Mar, 2023 1 commit
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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 1 commit
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Patrick von Platen authored
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- 28 Feb, 2023 1 commit
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Pedro Cuenca authored
* Sequential cpu offload: require accelerate 0.14.0. * Import is_accelerate_version * Missing copy.
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- 16 Feb, 2023 1 commit
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Pedro Cuenca authored
* enable_model_offload PoC It's surprisingly more involved than expected, see comments in the PR. * Rename final_offload_hook * Invoke the vae forward hook manually. * Completely remove decoder. * Style * apply_forward_hook decorator * Rename method. * Style * Copy enable_model_cpu_offload * Fix copies. * Remove comment. * Fix copies * Missing import * Fix doc-builder style. * Merge main and fix again. * Add docs * Fix docs. * Add a couple of tests. * style
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- 14 Feb, 2023 1 commit
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Patrick von Platen authored
replace type hints
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- 07 Feb, 2023 2 commits
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Patrick von Platen authored
* before running make style * remove left overs from flake8 * finish * make fix-copies * final fix * more fixes
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YiYi Xu authored
* Modify UNet2DConditionModel - allow skipping mid_block - adding a norm_group_size argument so that we can set the `num_groups` for group norm using `num_channels//norm_group_size` - allow user to set dimension for the timestep embedding (`time_embed_dim`) - the kernel_size for `conv_in` and `conv_out` is now configurable - add random fourier feature layer (`GaussianFourierProjection`) for `time_proj` - allow user to add the time and class embeddings before passing through the projection layer together - `time_embedding(t_emb + class_label))` - added 2 arguments `attn1_types` and `attn2_types` * currently we have argument `only_cross_attention`: when it's set to `True`, we will have a to the `BasicTransformerBlock` block with 2 cross-attention , otherwise we get a self-attention followed by a cross-attention; in k-upscaler, we need to have blocks that include just one cross-attention, or self-attention -> cross-attention; so I added `attn1_types` and `attn2_types` to the unet's argument list to allow user specify the attention types for the 2 positions in each block; note that I stil kept the `only_cross_attention` argument for unet for easy configuration, but it will be converted to `attn1_type` and `attn2_type` when passing down to the down blocks - the position of downsample layer and upsample layer is now configurable - in k-upscaler unet, there is only one skip connection per each up/down block (instead of each layer in stable diffusion unet), added `skip_freq = "block"` to support this use case - if user passes attention_mask to unet, it will prepare the mask and pass a flag to cross attention processer to skip the `prepare_attention_mask` step inside cross attention block add up/down blocks for k-upscaler modify CrossAttention class - make the `dropout` layer in `to_out` optional - `use_conv_proj` - use conv instead of linear for all projection layers (i.e. `to_q`, `to_k`, `to_v`, `to_out`) whenever possible. note that when it's used to do cross attention, to_k, to_v has to be linear because the `encoder_hidden_states` is not 2d - `cross_attention_norm` - add an optional layernorm on encoder_hidden_states - `attention_dropout`: add an optional dropout on attention score adapt BasicTransformerBlock - add an ada groupnorm layer to conditioning attention input with timestep embedding - allow skipping the FeedForward layer in between the attentions - replaced the only_cross_attention argument with attn1_type and attn2_type for more flexible configuration update timestep embedding: add new act_fn gelu and an optional act_2 modified ResnetBlock2D - refactored with AdaGroupNorm class (the timestep scale shift normalization) - add `mid_channel` argument - allow the first conv to have a different output dimension from the second conv - add option to use input AdaGroupNorm on the input instead of groupnorm - add options to add a dropout layer after each conv - allow user to set the bias in conv_shortcut (needed for k-upscaler) - add gelu adding conversion script for k-upscaler unet add pipeline * fix attention mask * fix a typo * fix a bug * make sure model can be used with GPU * make pipeline work with fp16 * fix an error in BasicTransfomerBlock * make style * fix typo * some more fixes * uP * up * correct more * some clean-up * clean time proj * up * uP * more changes * remove the upcast_attention=True from unet config * remove attn1_types, attn2_types etc * fix * revert incorrect changes up/down samplers * make style * remove outdated files * Apply suggestions from code review * attention refactor * refactor cross attention * Apply suggestions from code review * update * up * update * Apply suggestions from code review * finish * Update src/diffusers/models/cross_attention.py * more fixes * up * up * up * finish * more corrections of conversion state * act_2 -> act_2_fn * remove dropout_after_conv from ResnetBlock2D * make style * simplify KAttentionBlock * add fast test for latent upscaler pipeline * add slow test * slow test fp16 * make style * add doc string for pipeline_stable_diffusion_latent_upscale * add api doc page for latent upscaler pipeline * deprecate attention mask * clean up embeddings * simplify resnet * up * clean up resnet * up * correct more * up * up * improve a bit more * correct more * more clean-ups * Update docs/source/en/api/pipelines/stable_diffusion/latent_upscale.mdx Co-authored-by:
yiyixuxu <yixu@yis-macbook-pro.lan> Co-authored-by:
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- 06 Feb, 2023 1 commit
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nickkolok authored
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- 03 Feb, 2023 1 commit
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Will Berman authored
* negative_prompt typo * fix
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- 27 Jan, 2023 1 commit
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Patrick von Platen authored
* [LoRA] All to use in inference with pipeline * [LoRA] allow cross attention kwargs passed to pipeline * finish
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- 26 Jan, 2023 1 commit
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Suraj Patil authored
* make scaling factor cnfig arg of vae * fix * make flake happy * fix ldm * fix upscaler * qualirty * Apply suggestions from code review Co-authored-by:
Anton Lozhkov <anton@huggingface.co> Co-authored-by:
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- 25 Jan, 2023 1 commit
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Patrick von Platen authored
* add text embeds to sd * add text embeds to sd * finish tests * finish * finish * make style * fix tests * make style * make style * up * better docs * fix * fix * new try * up * up * finish
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- 17 Jan, 2023 1 commit
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Kashif Rasul authored
* 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:
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- 16 Jan, 2023 1 commit
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Will Berman authored
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
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- 12 Jan, 2023 1 commit
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Patrick von Platen authored
* [CPU offload] correct cpu offload * [CPU offload] correct cpu offload * finish * finish * Update docs/source/en/optimization/fp16.mdx Co-authored-by:
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- 04 Jan, 2023 1 commit
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Patrick von Platen authored
* [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
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- 02 Jan, 2023 1 commit
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YiYi Xu authored
* add a doc page for each pipeline under api/pipelines/stable_diffusion * add pipeline examples to docstrings * updated stable_diffusion_2 page * updated default markdown syntax to list methods based on https://github.com/huggingface/diffusers/pull/1870 * add function decorator Co-authored-by:
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- 30 Dec, 2022 1 commit
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Patrick von Platen authored
* move files a bit * more refactors * fix more * more fixes * fix more onnx * make style * upload * fix * up * fix more * up again * up * small fix * Update src/diffusers/__init__.py Co-authored-by:
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