Sync/hf diffusers/0.9 #2
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one small typo in pipeline_ddpm.py just a small typo in one comment
* Reorganize pipeline tests * fix vq
* Update README.md Additionally add FLAX so the model card can be slimmer and point to this page * Find and replace all * v-1-5 -> v1-5 * revert test changes * Update README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update docs/source/quicktour.mdx Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update README.md Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update docs/source/quicktour.mdx Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update README.md Co-authored-by: Suraj Patil <surajp815@gmail.com> * Revert certain references to v1-5 * Docs changes * Apply suggestions from code review Co-authored-by: apolinario <joaopaulo.passos+multimodal@gmail.com> Co-authored-by: anton-l <anton@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com>
…huggingface#930) * add community pipeline docs * fix style in code snippets (lol) * clean up loading docs * add license to doc files * fix some weird links
Fix typo: torch_type -> torch_dtype
) * Initial composable diffusion pipeline * add composable stable diffusion to readme table * Update examples/community/README.md * Apply suggestions from code review * Update examples/community/README.md * Update examples/community/README.md * Update examples/community/README.md * up * Update examples/community/README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
…uggingface#864) * added broadcast_to_shape_from_left helper * initial tests * fixed pndm tests * shape required for pndm * added require_flax * fix style * fix more imports Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
huggingface#976) * [WIP] Debugging mps DDIM tests * revert num_steps * check warmup with a generator * more warmup! * remove xdist * just use a single process
* Docs: refer to pre-RC version of PyTorch 1.13.0. * Remove temporary workaround for unavailable op. * Update comment to make it less ambiguous. * Remove use of contiguous in mps. It appears to not longer be necessary. * Special case: use einsum for much better performance in mps * Update mps docs. * Minor doc update. * Accept suggestion Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
…gface#932) * [Onnx] support half-precision and fix bugs for onnx pipelines * Update convert_stable_diffusion_checkpoint_to_onnx.py * style * fix has_nsfw_concept * Update convert_stable_diffusion_checkpoint_to_onnx.py * fix style
* start * add more logic * Update src/diffusers/models/unet_2d_condition_flax.py * match weights * up * make model work * making class more general, fixing missed file rename * small fix * make new conversion work * up * finalize conversion * up * first batch of variable renamings * remove c and c_prev var names * add mid and out block structure * add pipeline * up * finish conversion * finish * upload * more fixes * Apply suggestions from code review * add attr * up * uP * up * finish tests * finish * uP * finish * fix test * up * naming consistency in tests * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co> * remove hardcoded 16 * Remove bogus * fix some stuff * finish * improve logging * docs * upload Co-authored-by: Nathan Lambert <nol@berkeley.edu> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Nathan Lambert <nathan@huggingface.co> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
* add in fp16 * up
…uggingface#933) * Add --pretrained_model_name_revision option to train_dreambooth.py * Renamed --pretrained_model_name_revision to --revision
* Add failing test for huggingface#940. * Do not use torch.float64 in mps. * style * Temporarily skip add_noise for IPNDMScheduler. Until huggingface#990 is addressed.
… to either EMA or non-EMA (huggingface#991) * improve script * up
remove tensor_format in the new version
…ingface#850) * add method to enable cuda with minimal gpu usage to stable diffusion * add test to minimal cuda memory usage * ensure all models but unet are onn torch.float32 * move to cpu_offload along with minor internal changes to make it work * make it test against accelerate master branch * coming back, its official: I don't know how to make it test againt the master branch from accelerate * make it install accelerate from master on tests * go back to accelerate>=0.11 * undo prettier formatting on yml files * undo prettier formatting on yml files againn
* Make training code usable by external scripts Add parameter inputs to training and argument parsing function to allow this script to be used by an external call. * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add textual inversion flax * make style * make style * replicate vae and unet params * make style * minor * save after end of training * style * Temporary fix Co-authored-by: Suraj Patil <surajp815@gmail.com> * Add Flax instruction Co-authored-by: Suraj Patil <surajp815@gmail.com>
…ace#996) * Add failing test for huggingface#940. * Do not use torch.float64 in mps. * style * Temporarily skip add_noise for IPNDMScheduler. Until huggingface#990 is addressed. * Fix additional float64 error in mps. * Improve add_noise test * Slight edit – I think it's clearer this way.
make input_args optional
…huggingface#1016) * [Accelerate model loading] Fix meta device and super low memory usage * better naming
* [Flax] Add finetune Stable Diffusion * temporary fix * drop_last and seed * add dtype for mixed precision training * style * Add Flax example
* allow disabling self attention * add class_embedding * fix copies * fix condition * fix copies * do_self_attention -> only_cross_attention * fix copies * num_classes -> num_class_embeds * fix default value
* fix * add test * fix test * uP * up * fix some tests
* Optional Components * uP * finish * finish * finish * Apply suggestions from code review Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * up * Update src/diffusers/pipeline_utils.py * improve Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Upscaling fixed * up * more fixes * fix * more fixes * finish again * up
* up * up * fix * uP * more fixes * up * uP * up * up * uP * fix final tests
* Support SD2 attention slicing * Support SD2 attention slicing * Add more copies * Use attn_num_head_channels in blocks * fix-copies * Update tests * fix imports
SD2 inpainting integration tests
* call contiguous after permute Fixes for MPS device * Fix MPS UserWarning * make style * Revert "Fix MPS UserWarning" This reverts commit b46c328.
* Adapt ddpm, ddpmsolver to prediction_type. * Deprecate predict_epsilon in __init__. * Bring FlaxDDIMScheduler up to date with DDIMScheduler. * Set prediction_type as an ivar for consistency. * Convert pipeline_ddpm * Adapt tests. * Adapt unconditional training script. * Adapt BitDiffusion example. * Add missing kwargs in dpmsolver_multistep * Ugly workaround to accept deprecated predict_epsilon when loading schedulers using from_pretrained. * make style * Remove import no longer in use. * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Use config.prediction_type everywhere * Add a couple of Flax prediction type tests. * make style * fix register deprecated arg Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix * fix deprecated kwargs logic * add tests * finish
* StableDiffusionUpscalePipeline * fix a few things * make it better * fix image batching * run vae in fp32 * fix docstr * resize to mul of 64 * doc * remove safety_checker * add max_noise_level * fix Copied * begin tests * slow tests * default max_noise_level * remove kwargs * doc * fix * fix fast tests * fix fast tests * no sf * don't offload vae Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* added initial v-pred support to DPM-solver * fix sign * added v_prediction to flax * fixed typo
* up * up * up * up
fixed typos
Adds tag v0.9.0 for pypi
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