Merge hf upstream #6
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* Allow resolutions that are not multiples of 64 * ran black * fix bug * add test * more explanation * more comments Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
refactor: update ldm-bert `config.json` url Signed-off-by: Ryan Russell <git@ryanrussell.org> Signed-off-by: Ryan Russell <git@ryanrussell.org>
* revert using baddbmm in attention - to fix `test_stable_diffusion_memory_chunking` test * styling
* Fix BibText citation * Update README.md
* Add callback parameters for Stable Diffusion pipelines Signed-off-by: James R T <jamestiotio@gmail.com> * Lint code with `black --preview` Signed-off-by: James R T <jamestiotio@gmail.com> * Refactor callback implementation for Stable Diffusion pipelines * Fix missing imports Signed-off-by: James R T <jamestiotio@gmail.com> * Fix documentation format Signed-off-by: James R T <jamestiotio@gmail.com> * Add kwargs parameter to standardize with other pipelines Signed-off-by: James R T <jamestiotio@gmail.com> * Modify Stable Diffusion pipeline callback parameters Signed-off-by: James R T <jamestiotio@gmail.com> * Remove useless imports Signed-off-by: James R T <jamestiotio@gmail.com> * Change types for timestep and onnx latents * Fix docstring style * Return decode_latents and run_safety_checker back into __call__ * Remove unused imports * Add intermediate state tests for Stable Diffusion pipelines Signed-off-by: James R T <jamestiotio@gmail.com> * Fix intermediate state tests for Stable Diffusion pipelines Signed-off-by: James R T <jamestiotio@gmail.com> Signed-off-by: James R T <jamestiotio@gmail.com>
fix applying clip grad norm
* Flax: add shape argument to set_timesteps * style
Fixed type annotations on StableDiffusionPipeline::__call__
* Don't use `load_state_dict` if torch is not installed. * Define `SchedulerOutput` to use torch or flax arrays. * Don't import LMSDiscreteScheduler without torch. * Create distinct FlaxSchedulerOutput. * Additional changes required for FlaxSchedulerMixin * Do not import torch pipelines in Flax. * Revert "Define `SchedulerOutput` to use torch or flax arrays." This reverts commit f653140134b74d9ffec46d970eb46925fe3a409d. * Prefix Flax scheduler outputs for consistency. * make style * FlaxSchedulerOutput is now a dataclass. * Don't use f-string without placeholders. * Add blank line. * Style (docstrings)
* [CI] Localize the HF cache * pip cache * de-env * refactor matrix * fix fast cache * less onnx steps * revert * revert pip cache * revert pip cache * remove debugging trigger
* [Utils] Add deprecate function * up * up * uP * up * up * up * up * uP * up * fix * up * move to deprecation utils file * fix * fix * fix more
…Vis) (#701) * Conversion script * ran black * ran isort * remove unused import * map location so everything gets loaded onto CPU before conversion * ran black again * Update setup.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update links in schedulers README.md * Update src/diffusers/schedulers/README.md Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* add accelerate to load models with smaller memory footprint * remove low_cpu_mem_usage as it is reduntant * move accelerate init weights context to modelling utils * add test to ensure results are the same when loading with accelerate * add tests to ensure ram usage gets lower when using accelerate * move accelerate logic to single snippet under modelling utils and remove it from configuration utils * format code using to pass quality check * fix imports with isor * add accelerate to test extra deps * only import accelerate if device_map is set to auto * move accelerate availability check to diffusers import utils * format code Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix typos * Update examples/dreambooth/train_dreambooth.py Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* Add an argument "negative_prompt" * Fix argument order * Fix to use TypeError instead of ValueError * Removed needless batch_size multiplying * Fix to multiply by batch_size * Add truncation=True for long negative prompt * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_onnx.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_onnx.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Fix styles * Renamed ucond_tokens to uncond_tokens * Added description about "negative_prompt" Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Fix import if PyTorch is not installed. * Style (blank line)
Remove comments no longer appropriate. There were casting operations before, they are now gone.
fix clip_grad_norm_
* renamed single letter variables * renamed x to meaningful variable in resnet.py Hello @patil-suraj can you verify it Thanks * Reformatted using black * renamed x to meaningful variable in resnet.py Hello @patil-suraj can you verify it Thanks * reformatted the files * modified unboundlocalerror in line 374 * removed referenced before error * renamed single variable x -> hidden_state, p-> pad_value Co-authored-by: Nikhil A V <nikhilav@Nikhils-MacBook-Pro.local> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com>
* fix accelerate for testing * fix copies * uP
using already created `Path` in dataset
* Avoid negative strides for tensors * Changed not to make torch.tensor * Removed a needless copy
* Remove nn sequential * up
Remove some unused parameter The `downsample_padding` parameter does not seem to be used in `CrossAttnUpBlock2D` (or by any up block for that matter) so removing it.
…merge-hf-upstream
Co-authored-by: liujuncheng <liujuncheng1022@gmail.com>
… into merge-hf-upstream
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