V0.17 #9
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V0.17 #9
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* Post release * fix more
* [docs] only mention one stage * add blurb on auto accepting --------- Co-authored-by: William Berman <[email protected]>
Write model card in controlnet training script.
* [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * [2064]: Add stochastic sampler * Review comments * [Review comment]: Add is_torchsde_available() * [Review comment]: Test and docs * [Review comment] * [Review comment] * [Review comment] * [Review comment] * [Review comment] --------- Co-authored-by: njindal <[email protected]>
[Slow Test]: Cuda test fixes Co-authored-by: njindal <[email protected]>
Remove required from tracker_project_name. As observed by https://github.com/off99555 in huggingface#2695 (comment), it already has a default value.
…n_block (huggingface#3210) * removed unnecessary parameters from get_up_block and get_down_block functions * adding resnet_skip_time_act, resnet_out_scale_factor and cross_attention_norm to get_up_block and get_down_block functions --------- Co-authored-by: Sayak Paul <[email protected]>
Update repaint.mdx accomodate to huggingface#1701
Co-authored-by: multimodalart <[email protected]>
The pipeline is built as `pipe` but then used as `pipeline`.
…ingface#3114) * config fixes * deprecate get_input_dims
…eline"" (huggingface#3265) Revert "Revert "[Community Pipelines] Update lpw_stable_diffusion pipeline" (huggingface#3201)" This reverts commit 91a2a80.
Co-authored-by: yiyixuxu <[email protected]>
* [docs] add notes for stateful model changes * Update docs/source/en/optimization/fp16.mdx Co-authored-by: Pedro Cuenca <[email protected]> * link to accelerate docs for discarding hooks --------- Co-authored-by: Pedro Cuenca <[email protected]>
…huggingface#3180) * 👽 qol improvements for LoRA. * better function name? * fix: LoRA weight loading with the new format. * address Patrick's comments. * Apply suggestions from code review Co-authored-by: Patrick von Platen <[email protected]> * change wording around encouraging the use of load_lora_weights(). * fix: function name. --------- Co-authored-by: Patrick von Platen <[email protected]>
* EDICT pipeline initial commit - Starting point taking from https://github.com/Joqsan/edict-diffusion * refactor __init__() method * minor refactoring * refactor scheduler code - remove scheduler and move its methods to the EDICTPipeline class * make CFG optional - refactor encode_prompt(). - include optional generator for sampling with vae. - minor variable renaming * add EDICT pipeline description to README.md * replace preprocess() with VaeImageProcessor * run make style and make quality commands --------- Co-authored-by: Patrick von Platen <[email protected]>
* zh translated docs update * update _toctree
Fix typos
…uggingface#3125) * try multi controlnet inpaint * multi controlnet inpaint * multi controlnet inpaint
…e#3272) * Update Dreambooth README * Adapt all docs as well * automatically write model card * fix * make style
* Update Pix2PixZero Auto-correlation Loss * Add Stable Diffusion DiffEdit pipeline * Add draft documentation and import code * Bugfixes and refactoring * Add option to not decode latents in the inversion process * Harmonize preprocessing * Revert "Update Pix2PixZero Auto-correlation Loss" This reverts commit b218062. * Update annotations * rename `compute_mask` to `generate_mask` * Update documentation * Update docs * Update Docs * Fix copy * Change shape of output latents to batch first * Update docs * Add first draft for tests * Bugfix and update tests * Add `cross_attention_kwargs` support for all pipeline methods * Fix Copies * Add support for PIL image latents Add support for mask broadcasting Update docs and tests Align `mask` argument to `mask_image` Remove height and width arguments * Enable MPS Tests * Move example docstrings * Fix test * Fix test * fix pipeline inheritance * Harmonize `prepare_image_latents` with StableDiffusionPix2PixZeroPipeline * Register modules set to `None` in config for `test_save_load_optional_components` * Move fixed logic to specific test class * Clean changes to other pipelines * Update new tests to coordinate with huggingface#2953 * Update slow tests for better results * Safety to avoid potential problems with torch.inference_mode * Add reference in SD Pipeline Overview * Fix tests again * Enforce determinism in noise for generate_mask * Fix copies * Widen test tolerance for fp16 based on `test_stable_diffusion_upscale_pipeline_fp16` * Add LoraLoaderMixin and update `prepare_image_latents` * clean up repeat and reg * bugfix * Remove invalid args from docs Suppress spurious warning by repeating image before latent to mask gen
* add constant lr with rules * add constant with rules in TYPE_TO_SCHEDULER_FUNCTION * add constant lr rate with rule * hotfix code quality * fix doc style * change name constant_with_rules to piecewise constant
* Allow disabling torch 2_0 attention * make style * Update src/diffusers/models/attention.py
add link to training script Co-authored-by: yiyixuxu <[email protected]>
The note-seq package throws an error on import because the default installed version of Ipython is not compatible with python 3.8 which we run in the CI. https://github.com/huggingface/diffusers/actions/runs/4830121056/jobs/8605954838#step:7:9
A pipeline object stores the results in `images` not in `sample`. Current code blocks don't work.
* 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
* load a1111 lora * fix * apply feedback * fix
Correct multi gpu
* Update Compel documentation for textual inversions * Fix typo
…ggingface#3675) * fix: assertion. * assertion fix.
* part 2 of api fixes * move randn_tensor * add to toctree * apply feedback * more feedback
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 <[email protected]> Co-authored-by: Pedro Cuenca <[email protected]> Co-authored-by: Sayak Paul <[email protected]>
* move activation dispatches into helper function * tests
fix link to load_lora_weights
…e#3649) * merge undoable-monkeypatch * remove TEXT_ENCODER_TARGET_MODULES, refactoring * move create_lora_weight_file
* feat: add lora attention processor for pt 2.0. * explicit context manager for SDPA. * switch to flash attention * make shapes compatible to work optimally with SDPA. * fix: circular import problem. * explicitly specify the flash attention kernel in sdpa * fall back to efficient attention context manager. * remove explicit dispatch. * fix: removed processor. * fix: remove optional from type annotation. * feat: make changes regarding LoRAAttnProcessor2_0. * remove confusing warning. * formatting. * relax tolerance for PT 2.0 * fix: loading message. * remove unnecessary logging. * add: entry to the docs. * add: network_alpha argument. * relax tolerance.
* refactor x4 upscaler * style * copies --------- Co-authored-by: yiyixuxu <yixu310@gmail,com>
- use the correct Prior hub model id - use the new names in KandinskyPriorPipelineOutput
* support views batch for panorama * add entry for the new argument * format entry for the new argument * add view_batch_size test * fix batch test and a boundary condition * add more docstrings * fix a typos * fix typos * add: entry to the doc about view_batch_size. * Revert "add: entry to the doc about view_batch_size." This reverts commit a36aeaa. * add a tip on . --------- Co-authored-by: Sayak Paul <[email protected]>
* Add draft for lora text encoder scale * Improve naming * fix: training dreambooth lora script. * Apply suggestions from code review * Update examples/dreambooth/train_dreambooth_lora.py * Apply suggestions from code review * Apply suggestions from code review * add lora mixin when fit * add lora mixin when fit * add lora mixin when fit * fix more * fix more --------- Co-authored-by: Sayak Paul <[email protected]>
…face#3664) * Implement option for rescaling betas to zero terminal SNR * Implement rescale classifier free guidance in pipeline_stable_diffusion.py * focus on DDIM * make style * make style * make style * make style * Apply suggestions from Peter Lin * Apply suggestions from Peter Lin * make style * Apply suggestions from code review * Apply suggestions from code review * make style * make style --------- Co-authored-by: MaxWe00 <[email protected]> Co-authored-by: Patrick von Platen <[email protected]>
[tests] Run slow matrix sequentially.
* Fix custom releases * make style
* Fix loading * make style
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approved these changes
Jun 10, 2023
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