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Add custom nodes, Civitai loras (LFS), and vast.ai setup script
Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 00:56:42 +00:00

27 lines
841 B
Python

from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
import comfy.model_management as model_management
class SAM_Preprocessor:
@classmethod
def INPUT_TYPES(s):
return define_preprocessor_inputs(resolution=INPUT.RESOLUTION())
RETURN_TYPES = ("IMAGE",)
FUNCTION = "execute"
CATEGORY = "ControlNet Preprocessors/others"
def execute(self, image, resolution=512, **kwargs):
from custom_controlnet_aux.sam import SamDetector
mobile_sam = SamDetector.from_pretrained().to(model_management.get_torch_device())
out = common_annotator_call(mobile_sam, image, resolution=resolution)
del mobile_sam
return (out, )
NODE_CLASS_MAPPINGS = {
"SAMPreprocessor": SAM_Preprocessor
}
NODE_DISPLAY_NAME_MAPPINGS = {
"SAMPreprocessor": "SAM Segmentor"
}