huggingface org 업데이트 #3
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…e` (#2146) * EMA: fix `state_dict()` & add `cur_decay_value` * EMA: fix a bug in `load_state_dict()` 'float' object (`state_dict["power"]`) has no attribute 'get'. * del train_unconditional_ort.py
* [Examples] Test all examples on CPU * add * correct * Apply suggestions from code review
Co-authored-by: Patrick von Platen <[email protected]>
Resolves ValueError: `num_inference_steps`: 1000 cannot be larger than `self.config.train_timesteps`: 50 as the unet model trained with this scheduler can only handle maximal 50 timesteps.
* [LoRA] Freezing the model weights Freeze the model weights since we don't need to calculate grads for them. * Apply suggestions from code review Co-authored-by: Patrick von Platen <[email protected]> * Apply suggestions from code review --------- Co-authored-by: Patrick von Platen <[email protected]> Co-authored-by: Suraj Patil <[email protected]>
add fast tests
* correct some * Apply suggestions from code review * correct * Update tests/pipelines/altdiffusion/test_alt_diffusion_img2img.py * Final
* remove ddpm test_full_inference * style
* convert ckpt script docstring fixes * Update src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py Co-authored-by: Pedro Cuenca <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py Co-authored-by: Pedro Cuenca <[email protected]> --------- Co-authored-by: Pedro Cuenca <[email protected]>
* UnCLIP Text Interpolation Pipeline * Formatter fixes * Changes based on feedback * Formatting fix * Formatting fix * isort formatting fix(?) * Remove duplicate code * Formatting fix * Refactor __call__ and change example in readme. * Update examples/community/unclip_text_interpolation.py Refactor to linter formatting Co-authored-by: Will Berman <[email protected]> --------- Co-authored-by: Will Berman <[email protected]>
* [Tests] Refactor push tests * correct
* add ethical guidelines * update file name * edit file name * update toctree * Update docs/source/en/conceptual/ethical_guidelines.mdx * Update docs/source/en/conceptual/ethical_guidelines.mdx --------- Co-authored-by: Patrick von Platen <[email protected]>
* Fix running LoRA with xformers * support disabling xformers * reformat * Add test
* github issue forum link * Update .github/ISSUE_TEMPLATE/config.yml Co-authored-by: Patrick von Platen <[email protected]> --------- Co-authored-by: Patrick von Platen <[email protected]>
* unet check length input * prep test file for changes * correct all tests * clean up --------- Co-authored-by: Patrick von Platen <[email protected]>
* pipeline_variant * Add docs for when clip_stats_path is specified * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img.py Co-authored-by: Patrick von Platen <[email protected]> * prepare_latents # Copied from re: @patrickvonplaten * NoiseAugmentor->ImageNormalizer * stable_unclip_prior default to None re: @patrickvonplaten * prepare_prior_extra_step_kwargs * prior denoising scale model input * {DDIM,DDPM}Scheduler -> KarrasDiffusionSchedulers re: @patrickvonplaten * docs * Update docs/source/en/api/pipelines/stable_unclip.mdx Co-authored-by: Patrick von Platen <[email protected]> --------- Co-authored-by: Patrick von Platen <[email protected]>
* Log Unconditional Image Generation Samples to WandB * Check for wandb installation and parity between onnxruntime script * Log epoch to wandb * Check for tensorboard logger early on * style fixes --------- Co-authored-by: Patrick von Platen <[email protected]>
replace type hints
* initial docs about KarrasDiffusionSchedulers * typo * grammer * Update docs/source/en/api/schedulers/overview.mdx Co-authored-by: Pedro Cuenca <[email protected]> * do not list the schedulers explicitly --------- Co-authored-by: Pedro Cuenca <[email protected]>
Fix typos
Fix typos
Fix typos
Fix typos
* add: controlnet entry to training section in the docs. * formatting. * Apply suggestions from code review Co-authored-by: Steven Liu <[email protected]> * wrap in a tip block. --------- Co-authored-by: Steven Liu <[email protected]>
Update numbers for Habana Gaudi in doc
* first refactor * more text * improve * finish * up * up * up * up * finish * Apply suggestions from code review Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: YiYi Xu <[email protected]> * up * Apply suggestions from code review Co-authored-by: Pedro Cuenca <[email protected]> * finished * Apply suggestions from code review Co-authored-by: Pedro Cuenca <[email protected]> * finished --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: YiYi Xu <[email protected]> Co-authored-by: Pedro Cuenca <[email protected]>
Co-authored-by: Patrick von Platen <[email protected]>
* [Img2Img]: Copyover img2img pipeline * [Img2Img]: img2img pipeline * [Img2Img]: img2img pipeline * [Img2Img]: img2img pipeline --------- Co-authored-by: njindal <[email protected]>
…Pipeline (#2731) * Add guidance start/end parameters to community controlnet img2img pipeline * Fix formats
add test_to_dtype to check pipe.to(fp16)
* Update benchmark for A100, 3090, 3090 Ti, 4090. * Link to PyTorch blog. * Update install instructions.
* clarify purpose of repro docs * apply feedback
* [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 <[email protected]> * apply suggestions * up * revert --------- Co-authored-by: Sayak Paul <[email protected]> Co-authored-by: Pedro Cuenca <[email protected]>
* Remove warmup passes in mps tests. * Update mps docs: no warmup pass in PyTorch 2 * Update imports.
* add noise offset * make style
* add: section on multiple controlnets. Co-authored-by: William Berman <[email protected]> * fix: docs. * fix: docs. --------- Co-authored-by: William Berman <[email protected]>
* add: initial implementation of the pix2pix instruct training script. * shorten cli arg. * fix: main process check. * fix: dataset column names. * simplify tokenization. * proper placement of null conditions. * apply styling. * remove debugging message for conditioning do. * complete license. * add: requirements.tzt * wandb column name order. * fix: augmentation. * change: dataset_id. * fix: convert_to_np() call. * fix: reshaping. * fix: final ema copy. * Apply suggestions from code review Co-authored-by: Patrick von Platen <[email protected]> * address PR comments. * add: readme details. * config fix. * downgrade version. * reduce image width in the readme. * note on hyperparameters during generation. * add: output images. * update readme. * minor edits to readme. * debugging statement. * explicitly placement of the pipeline. * bump minimum diffusers version. * fix: device attribute error. * weight dtype. * debugging. * add dtype inform. * add seoarate te and vae. * add: explicit casting/ * remove casting. * up. * up 2. * up 3. * autocast. * disable mixed-precision in the final inference. * debugging information. * autocasting. * add: instructpix2pix training section to the docs. * Empty-Commit --------- Co-authored-by: Patrick von Platen <[email protected]>
* [UNet3DModel] Fix attn processor * make style
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