* 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 a36aeaa9ed.
* add a tip on .
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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
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Co-authored-by: yiyixuxu <yixu310@gmail,com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* dreambooth if docs - stage II, more info
* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update docs/source/en/training/dreambooth.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* download instructions for downsized images
* update source README to match docs
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* iterate over unique tokens to avoid duplicate replacements
* added test for multiple references to multi embedding
* adhere to black formatting
* reorder test post-rebase
* add _convert_kohya_lora_to_diffusers
* make style
* add scaffold
* match result: unet attention only
* fix monkey-patch for text_encoder
* with CLIPAttention
While the terrible images are no longer produced,
the results do not match those from the hook ver.
This may be due to not setting the network_alpha value.
* add to support network_alpha
* generate diff image
* fix monkey-patch for text_encoder
* add test_text_encoder_lora_monkey_patch()
* verify that it's okay to release the attn_procs
* fix closure version
* add comment
* Revert "fix monkey-patch for text_encoder"
This reverts commit bb9c61e6fa.
* Fix to reuse utility functions
* make LoRAAttnProcessor targets to self_attn
* fix LoRAAttnProcessor target
* make style
* fix split key
* Update src/diffusers/loaders.py
* remove TEXT_ENCODER_TARGET_MODULES loop
* add print memory usage
* remove test_kohya_loras_scaffold.py
* add: doc on LoRA civitai
* remove print statement and refactor in the doc.
* fix state_dict test for kohya-ss style lora
* Apply suggestions from code review
Co-authored-by: Takuma Mori <takuma104@gmail.com>
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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* update code to reflect latest changes as of May 30th
* update text to image example
* reflect changes to textual inversion
* make style
* fix typo
* Revert unnecessary readme changes
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Co-authored-by: root <root@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
Co-authored-by: Prathik Rao <prathikrao@microsoft.com@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
* Throw error if strength adjusted num_inference_steps < 1
* Added new fast test to check ValueError raised when num_inference_steps < 1
when strength adjusts the num_inference_steps then the inpainting pipeline should fail
* fix#3487 initial latents are now only scaled by init_noise_sigma when pure noise
updated this commit w.r.t the latest merge here: https://github.com/huggingface/diffusers/pull/3533
* fix
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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
