Álvaro Somoza

I'm literally using the the basics: ```python base = load_image("original.jpeg") mask = load_image("mask.png") inpaint = pipe( prompt, width=1024, height=1280, image=base, mask_image=mask, guidance_scale=10, strength=0.99, num_inference_steps=50, ).images[0] ``` Also as I don't...

This is my test switching just the model to SD 1.5 ||| |---|---| ||| So I think that's the difference between SD 1.5 and SDXL, the model is less capable...

I would appreciate it if you could do both: show an example of poor inpainting in diffusers, and then show the same example improved with automatic1111 soft inpainting. I'm aware...

sure, I just noticed that I can make it better so I'll do the test and fix it a little more.

@sayakpaul is this test enough?

I can open a PR to fix it but first I would like to know if there is a reason behind raising the error here: https://github.com/huggingface/diffusers/blob/7fa3e5b0f6a593d06e65f5b40ccd46acfafcfeb1/src/diffusers/utils/peft_utils.py#L249 instead of just returning...

thanks for the clarification, I really appreciate it.

Hi, maybe you can't give code, but maybe the prompt, model and parameters? I can generate a lot of images but I won't know the difference with what you're doing....

I'm kind of curious on how you tested the model with auto1111 if you don't have a compatible version, but anyways, I had my suspicion about it, most of the...

Hi, thank you for reporting the issue. Those changes are needed for `playground-v2.5` to work. Since the community pipelines are maintained by the community, I think most of them won't...