How do I pass a value for "denoising" using the Stable Diffusion Inpaint Pipeline?
In Automatic1111:Features · AUTOMATIC1111/stable-diffusion-webui Wiki · GitHub, I’m able to pass a value called denoising (between 0 and 1) to an inpainting model.  In the docs for StableDiffusionInpaintPipeline:Stable diffusion pipelines, I can’t find how to pass denoising.  Can someone show me?
2023-04-05T04:17:03Z
The CompVis/stable-diffusion-v1-4 model has a strength attribute (Link)Replicate has it as well:cjwbw/stable-diffusion-v2-inpainting – Run with an API on ReplicateIs diffusers just currently missing it for ‘stabilityai/stable-diffusion-2-inpainting’?
2023-04-05T04:33:24Z
Strength is actually in the inpainting docs:Stable diffusion pipelinesHowever, passing “strength” while using the ‘stabilityai/stable-diffusion-2-inpainting’ throws an error as “strength” is not recognized.
2023-04-06T03:18:34Z
Could you try with the latest API?huggingface.coText-Guided Image InpaintingWe’re on a journey to advance and democratize artificial intelligence through open source and open science.
2023-04-20T18:41:56Z
@sayakpaulthere is no strength parameter in StableDiffusionInpaintPipeline
2023-04-27T00:27:16Z
@luccazenit looks like it may exist in a legacy pipelinegithub.com/huggingface/diffusersStrength argument for StableDiffusionInpaintPipeline.__call__() in diffusers==0.6.0opened11:03AM - 26 Oct 22 UTCclosed03:37AM - 27 Oct 22 UTCmrgomdevIn previous inpainting pipeline(now StableDiffusionInpaintPipelineLegacy ) has t…he `strength` argument for set an offset, an independant argument from `num_inference_steps` . Is there any reason to remove that feature? Intuitively it could be different, small num_inference_steps vs large num_inference_steps x low strength, including noise from the starting timestep.

I've just thought, is it related to not calling scheduler.add_noise() in the newer pipeline.__call__()?