from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("piyohogeo/PreciseCam-middle-only")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"edurnebb/PreciseCam", controlnet=controlnet
)PreciseCam middle-only
This is a converted version of edurnebb/PreciseCam for standard Diffusers.
The final 1x1 convolution of each ControlNet down-block residual projection is zeroed. The mid-block residual and the ControlNet backbone are unchanged. This bakes behavior equivalent to middle_res_only=True into the checkpoint, without requiring a Diffusers fork or monkey patch.
Usage
import torch
from diffusers import ControlNetModel
controlnet = ControlNetModel.from_pretrained(
"piyohogeo/PreciseCam-middle-only",
torch_dtype=torch.float16,
)
The checkpoint uses the standard Diffusers ControlNetModel layout. PreciseCam's expected PF-US conditioning image is still required.
Conversion details and before/after parameter statistics are recorded in middle_only_conversion.json. The conversion and validation tools are available at piyohogeo/precisecam_middle_only.
License
The source model is distributed under the MIT license. See the source model repository for its license and attribution details.
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edurnebb/PreciseCam