* feat: explicitly tag to diffusers when using push_to_hub
* remove tags.
* reset repo.
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix: tests
* fix: push_to_hub behaviour for tagging from save_pretrained
* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>
* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>
* import fixes.
* add library name to existing model card.
* add: standalone test for generate_model_card
* fix tests for standalone method
* moved library_name to a better place.
* merge create_model_card and generate_model_card.
* fix test
* address lucain's comments
* fix return identation
* Apply suggestions from code review
Co-authored-by: Lucain <lucainp@gmail.com>
* address further comments.
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Lucain <lucainp@gmail.com>
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lucain <lucainp@gmail.com>
* begin animatediff img2video and video2video
* revert animatediff to original implementation
* add img2video as pipeline
* update
* add vid2vid pipeline
* update imports
* update
* remove copied from line for check_inputs
* update
* update examples
* add multi-batch support
* fix __init__.py files
* move img2vid to community
* update community readme and examples
* fix
* make fix-copies
* add vid2vid batch params
* apply suggestions from review
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>
* add test for animatediff vid2vid
* torch.stack -> torch.cat
Co-Authored-By: Dhruv Nair <dhruv.nair@gmail.com>
* make style
* docs for vid2vid
* update
* fix prepare_latents
* fix docs
* remove img2vid
* update README to :main
* remove slow test
* refactor pipeline output
* update docs
* update docs
* merge community readme from :main
* final fix i promise
* add support for url in animatediff example
* update example
* update callbacks to latest implementation
* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/diffusers/pipelines/animatediff/pipeline_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix merge
* Apply suggestions from code review
* remove callback and callback_steps as suggested in review
* Update tests/pipelines/animatediff/test_animatediff_video2video.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fix import error caused due to unet refactor in #6630
* fix numpy import error after tensor2vid refactor in #6626
* make fix-copies
* fix numpy error
* fix progress bar test
---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* move unets to module 🦋
* parameterize unet-level import.
* fix flax unet2dcondition model import
* models __init__
* mildly depcrecating models.unet_2d_blocks in favor of models.unets.unet_2d_blocks.
* noqa
* correct depcrecation behaviour
* inherit from the actual classes.
* Empty-Commit
* backwards compatibility for unet_2d.py
* backward compatibility for unet_2d_condition
* bc for unet_1d
* bc for unet_1d_blocks
* [Fix] Multiple image conditionings in a single batch for `StableDiffusionControlNetPipeline`.
* Refactor `check_inputs` in `StableDiffusionControlNetPipeline` to avoid redundant codes.
* Make the behavior of MultiControlNetModel to be the same to the original ControlNetModel
* Keep the code change minimum for nested list support
* Add fast test `test_inference_nested_image_input`
* Remove redundant check for nested image condition in `check_inputs`
Remove `len(image) == len(prompt)` check out of `check_image()`
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Better `ValueError` message for incompatible nested image list size
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Fix syntax error in `check_inputs`
* Remove warning message for multi-ControlNets with multiple prompts
* Fix a typo in test_controlnet.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Add test case for multiple prompts, single image conditioning in `StableDiffusionMultiControlNetPipelineFastTests`
* Improved `ValueError` message for nested `controlnet_conditioning_scale`
* Documenting the behavior of image list as `StableDiffusionControlNetPipeline` input
---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
* Add unload_ip_adapter method
* Update attn_processors with original layers
* Add test
* Use set_default_attn_processor
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* fix: init for vae during pixart tests
* print the values
* add flatten
* correct assertion value for test_inference
* correct assertion values for test_inference_non_square_images
* run styling
* debug test_inference_with_multiple_images_per_prompt
* fix assertion values for test_inference_with_multiple_images_per_prompt
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_instruct_pix2pix.py
* update tests
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_panorama.py
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_sag.py
* support ip-adapter in src/diffusers/pipelines/stable_diffusion_safe/pipeline_stable_diffusion_safe.py
* support ip-adapter in src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_text2img.py
* support ip-adapter in src/diffusers/pipelines/latent_consistency_models/pipeline_latent_consistency_img2img.py
* support ip-adapter in src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_ldm3d.py
* revert changes to sd_attend_and_excite and sd_upscale
* make style
* fix broken tests
* update ip-adapter implementation to latest
* apply suggestions from review
---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* utils and test modifications to enable device agnostic testing
* device for manual seed in unet1d
* fix generator condition in vae test
* consistency changes to testing
* make style
* add device agnostic testing changes to source and one model test
* make dtype check fns private, log cuda fp16 case
* remove dtype checks from import utils, move to testing_utils
* adding tests for most model classes and one pipeline
* fix vae import
* integrated sdxl for the text2video-zero pipeline
* make fix-copies
* fixed CI issues
* make fix-copies
* added docs and `copied from` statements
* added fast tests
* made a small change in docs
* quality+style check fix
* updated docs. added controlnet inference with sdxl
* added device compatibility for fast tests
* fixed docstrings
* changing vae upcasting
* remove torch.empty_cache to speed up inference
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* made fast tests to run on dummy models only, fixed copied from statements
* fixed testing utils imports
* Added bullet points for SDXL support
* fixed formatting & quality
* Update tests/pipelines/text_to_video/test_text_to_video_zero_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/pipelines/text_to_video/test_text_to_video_zero_sdxl.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* fixed minor error for merging
* fixed updates of sdxl
* made fast tests inherit from `PipelineTesterMixin` and run in 3-4secs on CPU
* make style && make quality
* reimplemented fast tests w/o default attn processor
* make style & make quality
* make fix-copies
* make fix-copies
* fixed docs
* make style & make quality & make fix-copies
* bug fix in cross attention
* make style && make quality
* make fix-copies
* fix gpu issues
* make fix-copies
* updated pipeline signature
---------
Co-authored-by: Vahram <vahram.tadevosyan@lambda-loginnode02.cm.cluster>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* Add SSD-1B support for controlnet model
* Add conditioning_channels into ControlNet init from unet
* Fix black formatting
* Isort fixes
* Adds SSD-1B controlnet pipeline test with UNetMidBlock2D as mid block
* Overrides failing ssd-1b tests
* Fixes tests after main branch update
* Fixes code quality checks
---------
Co-authored-by: Marko Kostiv <marko@linearity.io>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* Change pipeline_controlnet_inpaint.py to add ip-adapter support. Changes are similar to those in pipeline_controlnet
* Change tests for the StableDiffusionControlNetInpaintPipeline by adding image_encoder: None
* Update src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py
Co-authored-by: YiYi Xu <yixu310@gmail.com>
---------
Co-authored-by: YiYi Xu <yixu310@gmail.com>
