* start printing the tensors.
* print full throttle
* set static slices for 7 tests.
* remove printing.
* flatten
* disable test for controlnet
* what happens when things are seeded properly?
* set the right value
* style./
* make pia test fail to check things
* print.
* fix pia.
* checking for animatediff.
* fix: animatediff.
* video synthesis
* final piece.
* style.
* print guess.
* fix: assertion for control guess.
---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>
* Add `final_sigma_zero` to UniPCMultistep
Effectively the same trick as DDIM's `set_alpha_to_one` and
DPM's `final_sigma_type='zero'`.
Currently False by default but maybe this should be True?
* `final_sigma_zero: bool` -> `final_sigmas_type: str`
Should 1:1 match DPM Multistep now.
* Set `final_sigmas_type='sigma_min'` in UniPC UTs
* Initial commit
* Implemented block lora
- implemented block lora
- updated docs
- added tests
* Finishing up
* Reverted unrelated changes made by make style
* Fixed typo
* Fixed bug + Made text_encoder_2 scalable
* Integrated some review feedback
* Incorporated review feedback
* Fix tests
* Made every module configurable
* Adapter to new lora test structure
* Final cleanup
* Some more final fixes
- Included examples in `using_peft_for_inference.md`
- Added hint that only attns are scaled
- Removed NoneTypes
- Added test to check mismatching lens of adapter names / weights raise error
* Update using_peft_for_inference.md
* Update using_peft_for_inference.md
* Make style, quality, fix-copies
* Updated tutorial;Warning if scale/adapter mismatch
* floats are forwarded as-is; changed tutorial scale
* make style, quality, fix-copies
* Fixed typo in tutorial
* Moved some warnings into `lora_loader_utils.py`
* Moved scale/lora mismatch warnings back
* Integrated final review suggestions
* Empty commit to trigger CI
* Reverted emoty commit to trigger CI
---------
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* speed up test_vae_slicing in animatediff
* speed up test_karras_schedulers_shape for attend and excite.
* style.
* get the static slices out.
* specify torch print options.
* modify
* test run with controlnet
* specify kwarg
* fix: things
* not None
* flatten
* controlnet img2img
* complete controlet sd
* finish more
* finish more
* finish more
* finish more
* finish the final batch
* add cpu check for expected_pipe_slice.
* finish the rest
* remove print
* style
* fix ssd1b controlnet test
* checking ssd1b
* disable the test.
* make the test_ip_adapter_single controlnet test more robust
* fix: simple inpaint
* multi
* disable panorama
* enable again
* panorama is shaky so leave it for now
* remove print
* raise tolerance.
* Bug fix for controlnetpipeline check_image
Bug fix for controlnetpipeline check_image when using multicontrolnet and prompt list
* Update test_inference_multiple_prompt_input function
* Update test_controlnet.py
add test for multiple prompts and multiple image conditioning
* Update test_controlnet.py
Fix format error
---------
Co-authored-by: Lvkesheng Shen <45848260+Fantast416@users.noreply.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* add remove_all_hooks
* a few more fix and tests
* up
* Update src/diffusers/pipelines/pipeline_utils.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* split tests
* add
---------
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
* apple mps: training support for SDXL LoRA
* sdxl: support training lora, dreambooth, t2i, pix2pix, and controlnet on apple mps
---------
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* mps: fix XL pipeline inference at training time due to upstream pytorch bug
* Update src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
* apply the safe-guarding logic elsewhere.
---------
Co-authored-by: bghira <bghira@users.github.com>
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
you cannot specify `type="bool"` and `action="store_true"` at the same time.
remove excessive and buggy `type=bool`.
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>
* feat: support dora loras from community
* safe-guard dora operations under peft version.
* pop use_dora when False
* make dora lora from kohya work.
* fix: kohya conversion utils.
* add a fast test for DoRA compatibility..
* add a nightly test.
* fixed typo
* updated doc to be consistent in naming
* make style/quality
* preprocessing for 4 channels and not 6
* make style
* test for 4c
* make style/quality
* fixed test on cpu
* fixed doc typo
* changed default ckpt to 4c
* Update pipeline_stable_diffusion_ldm3d.py
* fix bug
---------
Co-authored-by: Aflalo <estellea@isl-iam1.rr.intel.com>
Co-authored-by: Aflalo <estellea@isl-gpu33.rr.intel.com>
Co-authored-by: Aflalo <estellea@isl-gpu38.rr.intel.com>
* Add properties and `IPAdapterTesterMixin` tests for `StableDiffusionPanoramaPipeline`
* Update torch manual seed to use `torch.Generator(device=device)`
* Refactor 📞🔙 to support `callback_on_step_end`
* make fix-copies
* fix freeinit impl
* fix progress bar
* fix progress bar and remove old code
* fix num_inference_steps==1 case for freeinit by atleast running 1 step when fast sampling enabled
Sayak Paul