* Update Unipc einsum to support 1D and 3D diffusion.
* Add unittest
* Update unittest & edge case
* Fix unittest
* Fix testing_utils.py
* Fix unittest file
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add docstring for the AutoencoderKL's encode
#5229
* Support Python 3.8 syntax in AutoencoderKL.decode type hints
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Follow the style guidelines in AutoencoderKL's encode
#5230
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Co-authored-by: stano <>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add VAE slicing and tiling methods.
* Switch to using VaeImageProcessing for preprocessing and postprocessing of images.
* Rename the VaeImageProcessor to vae_image_processor to avoid a name clash with the CLIPImageProcessor (image_processor).
* Remove the postprocess() function because we're using a VaeImageProcessor instead.
* Remove UniDiffuserPipeline.decode_image_latents because we're using VaeImageProcessor instead.
* Refactor generating text from text latents into a decode_text_latents method.
* Add enable_full_determinism() to UniDiffuser tests.
* make style
* Add PipelineLatentTesterMixin to UniDiffuserPipelineFastTests.
* Remove enable_model_cpu_offload since it is now part of DiffusionPipeline.
* Rename the VaeImageProcessor instance to self.image_processor for consistency with other pipelines and rename the CLIPImageProcessor instance to clip_image_processor to avoid a name clash.
* Update UniDiffuser conversion script.
* Make safe_serialization configurable in UniDiffuser conversion script.
* Rename image_processor to clip_image_processor in UniDiffuser tests.
* Add PipelineKarrasSchedulerTesterMixin to UniDiffuserPipelineFastTests.
* Add initial test for compiling the UniDiffuser model (not tested yet).
* Update encode_prompt and _encode_prompt to match that of StableDiffusionPipeline.
* Turn off standard classifier-free guidance for now.
* make style
* make fix-copies
* apply suggestions from review
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* added docstrings in forward methods of T2IAdapter model and FullAdapter model
* added docstrings in forward methods of FullAdapterXL and AdapterBlock models
* Added docstrings in forward methods of adapter models
* fix ddim inverse scheduler
* update test of ddim inverse scheduler
* update test of pix2pix_zero
* update test of diffedit
* fix typo
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* split_head_dim flax attn
* Make split_head_dim non default
* make style and make quality
* add description for split_head_dim flag
* Update src/diffusers/models/attention_flax.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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Co-authored-by: Juan Acevedo <jfacevedo@google.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Timestep bias for fine-tuning SDXL
* Adjust parameter choices to include "range" and reword the help statements
* Condition our use of weighted timesteps on the value of timestep_bias_strategy
* style
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Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Fix FullAdapterXL.total_downscale_factor.
* Fix incorrect error message in T2IAdapter.__init__(...).
* Move IP-Adapter test_total_downscale_factor(...) to pipeline test file (requested in code review).
* Add more info to error message about an unsupported T2I-Adapter adapter_type.
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Make sure the repo_id is valid before sending it to huggingface_hub to get a more understandable error message.
Re #5110
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know
* SDXL microconditioning documentation should indicate the correct default order of parameters, so that developers know
* empty
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Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
