- 08 Mar, 2023 1 commit
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YiYi Xu authored
* convert img2img.mdx into notebook doc * fix * Update docs/source/en/using-diffusers/img2img.mdx Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> --------- Co-authored-by:
yiyixuxu <yixu@yis-macbook-pro.lan> Co-authored-by:
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- 07 Mar, 2023 2 commits
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Steven Liu authored
*
📝 add textual inversion examples to docs *🖍 apply feedback *🖍 add colab link -
Patrick von Platen authored
* add docs * correct * finish * Apply suggestions from code review Co-authored-by:
Will Berman <wlbberman@gmail.com> Co-authored-by:
YiYi Xu <yixu310@gmail.com> * update deps table * Apply suggestions from code review Co-authored-by:
Pedro Cuenca <pedro@huggingface.co> --------- Co-authored-by:
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- 06 Mar, 2023 6 commits
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Steven Liu authored
* first draft of updated quicktour *
🖍 apply feedbacks *🖍 apply feedback and minor edits *🖍 add link to safety checker -
Steven Liu authored
* include text2image lora training in docs *
🖍 apply feedback *🖍 minor edits -
Steven Liu authored
* move dbooth github stuff to docs * add notebooks *
🖍 minor shuffle *🖍 fix markdown table *🖍 apply feedback *✨ make style *🖍 minor fix in code snippet -
Steven Liu authored
* move relevant code from text2image on GitHub to docs *
🖍 add inference for text2image with flax *🖍 apply feedback -
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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Vico Chu authored
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- 03 Mar, 2023 3 commits
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Steven Liu authored
* first draft *
✨ minor edits *✨ minor fixes *🖍 apply feedbacks *🖍 apply feedback and minor edits -
Patrick von Platen authored
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Patrick von Platen authored
* Small fixes for controlnet * finish links
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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 1 commit
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Patrick von Platen authored
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- 28 Feb, 2023 1 commit
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Sayak Paul authored
* edit controlling generation doc. * add: demo link to pix2pix zero docs. * refactor oanorama a bit. * Apply suggestions from code review Co-authored-by:
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- 27 Feb, 2023 2 commits
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Patrick von Platen authored
* [Docs] Improve safetensors * Apply suggestions from code review
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Pedro Cuenca authored
* Add 4090 benchmark (PyTorch 2.0) * Small changes in nomenclature.
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- 25 Feb, 2023 1 commit
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Omer Bar Tal authored
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- 21 Feb, 2023 1 commit
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Sayak Paul authored
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- 20 Feb, 2023 3 commits
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YiYi Xu authored
Co-authored-by: -
Sayak Paul authored
add: note on SDEdit
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Sayak Paul authored
* remove author names. * add: demo link to panorama.
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- 17 Feb, 2023 13 commits
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YiYi Xu authored
* add index page * update --------- Co-authored-by: -
Pedro Cuenca authored
Fix typo in AttnProcessor2_0 symbol.
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Will Berman authored
controlling generation docs fixes
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Will Berman authored
* controlling generation docs * Apply suggestions from code review Co-authored-by:
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Amiruddin Nagri authored
Fixing typos in outgoing links
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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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patil-suraj authored
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patil-suraj authored
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Sayak Paul authored
* add: inversion to pix2pix zero docs. * add: comment to emphasize the use of flan to generate. * more nits.
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Suraj Patil authored
* add sdpa processor * don't use it by default * add some checks and style * typo * support torch sdpa in dreambooth example * use torch attn proc by default when available * typo * add attn mask * fix naming * being doc * doc * Apply suggestions from code review * polish * torctree * Apply suggestions from code review Co-authored-by:
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Sayak Paul authored
* add: section on generating embeddings. * Apply suggestions from code review Co-authored-by:
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- 16 Feb, 2023 4 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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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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