ControlNet-for-Diffusers
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performance worst
I convert canny model to diffuser using the ./scripts/convert_controlnet_to_diffusers.py, and inference with own image, but the result is very bad.
Could you provide more information about how you convert and what is your inference code? If possible, can you also attach your input image, control image and final results?