diffusers

d9b8adc4 - Add support for Multi-ControlNet to StableDiffusionControlNetPipeline (#2627)

Add support for Multi-ControlNet to StableDiffusionControlNetPipeline (#2627) * support for List[ControlNetModel] on init() * Add to support for multiple ControlNetCondition * rename conditioning_scale to scale * scaling bugfix * Manually merge `MultiControlNet` #2621 Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * cleanups - don't expose ControlNetCondition - move scaling to ControlNetModel * make style error correct * remove ControlNetCondition to reduce code diff * refactoring image/cond_scale * add explain for `images` * Add docstrings * all fast-test passed * Add a slow test * nit * Apply suggestions from code review * small precision fix * nits MultiControlNet -> MultiControlNetModel - Matches existing naming a bit closer MultiControlNetModel inherit from model utils class - Don't have to re-write fp16 test Skip tests that save multi controlnet pipeline - Clearer than changing test body Don't auto-batch the number of input images to the number of controlnets. We generally like to require the user to pass the expected number of inputs. This simplifies the processing code a bit more Use existing image pre-processing code a bit more. We can rely on the existing image pre-processing code and keep the inference loop a bit simpler. --------- Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: William Berman <WLBberman@gmail.com>