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pipeline at dev branch #98
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hi @SmileTAT what do you mean by "red layers"? Would you mind sharing some screenshots? |
|
differences between dev and main branch |
oh I see. I had refactored the dev branch. If you are running our pretrained weights on dev branch, then it probably has some problems. Please run app in dev branch using your own trained weights |
at dev brach, init pipeline as following code, but the output image is covered with a red layer
`# brushnet-based version
unet = UNet2DConditionModel.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5",
subfolder="unet",
revision=None,
torch_dtype=weight_dtype,
)
text_encoder = CLIPTextModel.from_pretrained(
"stable-diffusion-v1-5/stable-diffusion-v1-5",
subfolder="text_encoder",
revision=None,
torch_dtype=weight_dtype,
)
brushnet = BrushNetModel.from_unet(unet)
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