ai-hub-models
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[BUG] Controlnet models are providing noisy image outputs
Describe the bug
The controlnet pipeline is providing me noisy image output, in general it does its thing, but the quality of the image makes it unsable. Prompt: "photo, mid century modern, natural light, pink walls". See the input/output images below:
Input:
Outputs with various seed/guidance scale settings:
To Reproduce Try to run the demo application with the following settings:
- dpmsolver++ scheduler
- 23 or 35 steps
- guidance scale 7.5 or 12.5
- seed: between 1e7 - 1e10
I get this noise in every image, the image quality is nowhere compared to the original float controlnet model in here: https://github.com/AUTOMATIC1111/stable-diffusion-webui
Expected behavior
Have a comparable output with the original float controlnet model from here: https://github.com/Mikubill/sd-webui-controlnet
Something like this:
Host configuration:
- OS and version: Win 11
- QAI-Hub-Models version: latest controlnet
Am I missing something, shall I use another scheduler with different options or is there a better quantized model for controlnet?