- 23 Mar, 2023 3 commits
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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:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/spectrogram_diffusion/pipeline_spectrogram_diffusion.py 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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- 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:
Pedro Cuenca <pedro@huggingface.co> * apply suggestions * up * revert --------- Co-authored-by:
Sayak Paul <spsayakpaul@gmail.com> 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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- 16 Mar, 2023 1 commit
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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:
Will Berman <wlbberman@gmail.com> * Black ??? --------- 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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YiYi Xu authored
* add image_processor --------- Co-authored-by:
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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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- 14 Mar, 2023 2 commits
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clarencechen authored
* Add support for different model prediction types in DDIMInverseScheduler Resolve alpha_prod_t_prev index issue for final step of inversion * Fix old bug introduced when prediction type is "sample" * Add support for sample clipping for numerical stability and deprecate old kwarg * Detach sample, alphas, betas Derive predicted noise from model output before dist. regularization Style cleanup * Log loss for debugging * Revert "Log loss for debugging" This reverts commit 76ea9c856f99f4c8eca45a0b1801593bb982584b. * Add comments * Add inversion equivalence test * Add expected data for Pix2PixZero pipeline tests with SD 2 * Update tests/pipelines/stable_diffusion/test_stable_diffusion_pix2pix_zero.py * Remove cruft and add more explanatory comments --------- Co-authored-by: -
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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Aki Sakurai authored
* Support non square image generation for StableDiffusionSAGPipeline * Fix style
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- 10 Mar, 2023 3 commits
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Patrick von Platen authored
* [Pipeline loading] * up
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Will Berman authored
* controlnet sd 2.1 checkpoint conversions * remove global_step -> make config file mandatory
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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 6 commits
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Will Berman authored
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Patrick von Platen authored
* improve error message * upload
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Patrick von Platen authored
Improve docs
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Patrick von Platen authored
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YiYi Xu authored
* add api doc for flax pipeline + doc string examples * make style --------- Co-authored-by:
yiyixuxu <yixu@yis-macbook-pro.lan> Co-authored-by:
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Antoine Bouthors authored
Fixed incorrect width/height assignment in StableDiffusionDepth2ImgPipeline when passing in tensor
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- 08 Mar, 2023 1 commit
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Víctor Martínez authored
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- 07 Mar, 2023 2 commits
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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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Hu Ye authored
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- 06 Mar, 2023 2 commits
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YiYi Xu authored
add attn_res variable Co-authored-by: -
Sean Sube authored
* [Onnx] add Stable Diffusion Upscale pipeline * add a test for the OnnxStableDiffusionUpscalePipeline * check for VAE config before adjusting scaling factor * update test assertions, lint fixes * run fix-copies target * switch test checkpoint to one hosted on huggingface * partially restore attention mask * reshape embeddings after running text encoder * add longer nightly test for ONNX upscale pipeline * use package import to fix tests * fix scheduler compatibility and class labels dtype * use more precise type * remove LMS from fast tests * lookup latent and timestamp types * add docs for ONNX upscaling, rename lookup table * replace deprecated pipeline names in ONNX docs
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- 05 Mar, 2023 1 commit
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Dhruv Nair authored
Fix for InstructPix2PixPipeline to allow for prompt embeds to be passed in without prompts. (#2456) * fix check inputs to allow prompt embeds in instruct pix2pix * linting * add reference comment to check inputs * remove comment * style changes --------- Co-authored-by:
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- 03 Mar, 2023 5 commits
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Will Berman authored
* attend and excite batch test causing timeouts * move test num_images_per_prompt to pipeline mixin * style * prompt_key -> self.batch_params
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Laveraaa authored
Update pipeline_stable_diffusion_inpaint_legacy.py resize to integer multiple of 8 instead of 32 for init image and mask (#2350) Update pipeline_stable_diffusion_inpaint_legacy.py Change resize to integer multiple of 8 instead of 32
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Patrick von Platen authored
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Patrick von Platen authored
* [Model offload] Add nice warning * Treat sequential and model offload differently. Sequential raises an error because the operation would fail with a cryptic warning later. * Forcibly move to cpu when offloading. * make style * one more fix * make fix-copies * up --------- Co-authored-by: -
Anton Lozhkov authored
* Revert "Disable ONNX tests (#2509)" This reverts commit a0549fea. * add external weights * + pb * style
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- 02 Mar, 2023 3 commits
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Fkunn1326 authored
Fix convert sd 768 error (#1979) Co-authored-by:tweeter0830 <tweeter0830@users.noreply.github.com>
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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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Patrick von Platen authored
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Will Berman authored
* is_safetensors_compatible refactor * files list comma
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