- 14 Mar, 2023 2 commits
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Ilmari Heikkinen authored
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Sayak Paul authored
* ema test cases. * debugging maessages. * debugging maessages. * add: tests for ema. * fix: optimization_step arg, * handle device placement. * Apply suggestions from code review Co-authored-by:
Will Berman <wlbberman@gmail.com> * remove del and gc. * address PR feedback. * add: tests for serialization. * fix: typos. * skip_mps to serialization. --------- Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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- 13 Mar, 2023 3 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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Aki Sakurai authored
* Support non square image generation for StableDiffusionSAGPipeline * Fix style
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- 10 Mar, 2023 2 commits
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Patrick von Platen authored
* [Pipeline loading] * up
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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:
Pedro Cuenca <pedro@huggingface.co> * apply code suggestions * finish --------- Co-authored-by:
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- 09 Mar, 2023 2 commits
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Patrick von Platen authored
* up * correct some * up * finish
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Patrick von Platen authored
* [Schedulers] Correct config changing * uP * add tests
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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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Patrick von Platen authored
* add docs * correct * finish * Apply suggestions from code review Co-authored-by:
YiYi Xu <yixu310@gmail.com> * update deps table * Apply suggestions from code review Co-authored-by:
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- 06 Mar, 2023 1 commit
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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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Sanchit Gandhi authored
* [PipelineTesterMixin] Handle non-image outputs for batch/sinle inference test * style --------- Co-authored-by:
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- 04 Mar, 2023 1 commit
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Nicolas Patry authored
* Fix regression introduced in #2448 * Style.
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- 03 Mar, 2023 3 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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Nicolas Patry authored
* Adding support for `safetensors` and LoRa. * Adding metadata.
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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:
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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:
Sayak Paul <spsayakpaul@gmail.com> * Update docs/source/en/api/pipelines/stable_diffusion/controlnet.mdx Co-authored-by:
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- 01 Mar, 2023 4 commits
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Will Berman authored
* attend and excite batch test causing timeouts * PipelineTesterMixin argument configuration refactor * error message text re: @yiyixuxu * remove eta re: @patrickvonplaten
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Patrick von Platen authored
* [Tests] Fix slow tests * [Tests] Fix slow tsets
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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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- 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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- 27 Feb, 2023 3 commits
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Will Berman authored
* attend and excite batch test causing timeouts * pix2pix tests, no write to fs
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Will Berman authored
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Will Berman authored
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- 24 Feb, 2023 1 commit
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Pedro Cuenca authored
* Skip variant tests (UNet1d, UNetRL) on mps. mish op not yet supported. * Exclude a couple of panorama tests on mps They are too slow for fast CI. * Exclude mps panorama from more tests. * mps: exclude all fast panorama tests as they keep failing.
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- 19 Feb, 2023 1 commit
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Will Berman authored
* stable unclip integration tests turn on memory saving * add note on turning on memory saving
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- 17 Feb, 2023 5 commits
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Omer Bar Tal authored
* add MultiDiffusionPanorama pipeline * fix docs naming * update pipeline name, remove redundant tests * apply styling. * debugging information. * fix: assertion values. * fix-copies. * update docs * update docs --------- Co-authored-by: -
Patrick von Platen authored
* add * finish * add tests * add tests * up * up * pull from main * uP * Apply suggestions from code review * finish * Update docs/source/en/_toctree.yml Co-authored-by:
Suraj Patil <surajp815@gmail.com> * finish * clean docs * next * next * Apply suggestions from code review Co-authored-by:
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Manuel Brack authored
* Add semantic guidance pipeline * Fix style * Refactor Pipeline * Pipeline documentation * Add documentation * Fix style and quality * Fix doctree * Add tests for SEGA * Update src/diffusers/pipelines/semantic_stable_diffusion/pipeline_semantic_stable_diffusion.py Co-authored-by:
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Pedro Cuenca authored
* Change solver_type to match the previous tests. * Prevent warnings about scale_model_inputs * Prevent console log about division by zero.
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Sayak Paul authored
* fix: slow tests. * retrieving the slices. * fix: assertion. * debugging. * debugging. * debugging * debugging. * debugging * debugging. * debugging. * debugging * debugging * change debugging. * change debugging. * fix: tests for pix2pix zero.
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- 16 Feb, 2023 6 commits
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YiYi Xu authored
* attend and excite pipeline * update update docstring example remove visualization remove the base class attention control remove dependency on stable diffusion pipeline always apply gaussian filter with default setting remove run_standard_sd argument hardcode attention_res and scale_range (related to step size) Update docs/source/en/api/pipelines/stable_diffusion/attend_and_excite.mdx Co-authored-by:
evin <evinpinarornek@gmail.com> Co-authored-by:
yiyixuxu <yixu310@gmail,com> Co-authored-by:
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Patrick von Platen authored
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Wenliang Zhao authored
* add UniPC scheduler * add the return type to the functions * code quality check * add tests * finish docs --------- Co-authored-by: -
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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Susung Hong authored
* Add Stable Diffusion Sw/ elf-Attention Guidance * Modify __init__.py * Register attention storing processor * Update pipeline_stable_diffusion_sag.py * Editing default value * Update pipeline_stable_diffusion_sag.py * Update pipeline_stable_diffusion_sag.py * Update pipeline_stable_diffusion_sag.py * Update dummy_torch_and_transformers_objects.py * Update pipeline_stable_diffusion_sag.py * Update pipeline_stable_diffusion_sag.py * Update pipeline_stable_diffusion_sag.py * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_sag.py Co-authored-by:
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Sayak Paul authored
* add: support for BLIP generation. * add: support for editing synthetic images. * remove unnecessary comments. * add inits and run make fix-copies. * version change of diffusers. * fix: condition for loading the captioner. * default conditions_input_image to False. * guidance_amount -> cross_attention_guidance_amount * fix inputs to check_inputs() * fix: attribute. * fix: prepare_attention_mask() call. * debugging. * better placement of references. * remove torch.no_grad() decorations. * put torch.no_grad() context before the first denoising loop. * detach() latents before decoding them. * put deocding in a torch.no_grad() context. * add reconstructed image for debugging. * no_grad(0 * apply formatting. * address one-off suggestions from the draft PR. * back to torch.no_grad() and add more elaborate comments. * refactor prepare_unet() per Patrick's suggestions. * more elaborate description for . * formatting. * add docstrings to the methods specific to pix2pix zero. * suspecting a redundant noise prediction. * needed for gradient computation chain. * less hacks. * fix: attention mask handling within the processor. * remove attention reference map computation. * fix: cross attn args. * fix: prcoessor. * store attention maps. * fix: attention processor. * update docs and better treatment to xa args. * update the final noise computation call. * change xa args call. * remove xa args option from the pipeline. * add: docs. * first test. * fix: url call. * fix: argument call. * remove image conditioning for now. *
🚨 add: fast tests. * explicit placement of the xa attn weights. * add: slow tests🐢 * fix: tests. * edited direction embedding should be on the same device as prompt_embeds. * debugging message. * debugging. * add pix2pix zero pipeline for a non-deterministic test. * debugging/ * remove debugging message. * make caption generation _ * address comments (part I). * address PR comments (part II) * fix: DDPM test assertion. * refactor doc. * address PR comments (part III). * fix: type annotation for the scheduler. * apply styling. * skip_mps and add note on embeddings in the docs.
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