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from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT | |
import comfy.model_management as model_management | |
class Depth_Anything_Preprocessor: | |
def INPUT_TYPES(s): | |
return define_preprocessor_inputs( | |
ckpt_name=INPUT.COMBO( | |
["depth_anything_vitl14.pth", "depth_anything_vitb14.pth", "depth_anything_vits14.pth"] | |
), | |
resolution=INPUT.RESOLUTION() | |
) | |
RETURN_TYPES = ("IMAGE",) | |
FUNCTION = "execute" | |
CATEGORY = "ControlNet Preprocessors/Normal and Depth Estimators" | |
def execute(self, image, ckpt_name="depth_anything_vitl14.pth", resolution=512, **kwargs): | |
from custom_controlnet_aux.depth_anything import DepthAnythingDetector | |
model = DepthAnythingDetector.from_pretrained(filename=ckpt_name).to(model_management.get_torch_device()) | |
out = common_annotator_call(model, image, resolution=resolution) | |
del model | |
return (out, ) | |
class Zoe_Depth_Anything_Preprocessor: | |
def INPUT_TYPES(s): | |
return define_preprocessor_inputs( | |
environment=INPUT.COMBO(["indoor", "outdoor"]), | |
resolution=INPUT.RESOLUTION() | |
) | |
RETURN_TYPES = ("IMAGE",) | |
FUNCTION = "execute" | |
CATEGORY = "ControlNet Preprocessors/Normal and Depth Estimators" | |
def execute(self, image, environment="indoor", resolution=512, **kwargs): | |
from custom_controlnet_aux.zoe import ZoeDepthAnythingDetector | |
ckpt_name = "depth_anything_metric_depth_indoor.pt" if environment == "indoor" else "depth_anything_metric_depth_outdoor.pt" | |
model = ZoeDepthAnythingDetector.from_pretrained(filename=ckpt_name).to(model_management.get_torch_device()) | |
out = common_annotator_call(model, image, resolution=resolution) | |
del model | |
return (out, ) | |
NODE_CLASS_MAPPINGS = { | |
"DepthAnythingPreprocessor": Depth_Anything_Preprocessor, | |
"Zoe_DepthAnythingPreprocessor": Zoe_Depth_Anything_Preprocessor | |
} | |
NODE_DISPLAY_NAME_MAPPINGS = { | |
"DepthAnythingPreprocessor": "Depth Anything", | |
"Zoe_DepthAnythingPreprocessor": "Zoe Depth Anything" | |
} |