Files

93 lines
2.4 KiB
Python

import hashlib
import os
import comfy
import numpy as np
import torch
from PIL import Image
class ViewportColor:
@classmethod
def INPUT_TYPES(cls):
return {"required": {"image_path": ("STRING", {"image_upload": True})}}
RETURN_TYPES = ("IMAGE", "MASK")
FUNCTION = "load_image"
CATEGORY = "Blender TexDiff"
def load_image(self, image_path):
img = Image.open(image_path)
if img.mode == "I":
img = img.point(lambda i: i * (1 / 255))
image = img.convert("RGB")
image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image)[None,]
if "A" in img.getbands():
mask = np.array(img.getchannel("A")).astype(np.float32) / 255.0
mask = 1.0 - torch.from_numpy(mask)
else:
mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
return (image, mask.unsqueeze(0))
@classmethod
def IS_CHANGED(s, image_path):
if not os.path.exists(image_path):
return ""
m = hashlib.sha256()
with open(image_path, "rb") as f:
m.update(f.read())
return m.digest().hex()
class ViewportDepth:
@classmethod
def INPUT_TYPES(cls):
return {"required": {"image_path": ("STRING", {"image_upload": True})}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "load_image"
CATEGORY = "Blender TexDiff"
def load_image(self, image_path):
img = Image.open(image_path)
if img.mode == "I":
img = img.point(lambda i: i * (1 / 255))
image = img.convert("RGB")
image = np.array(image).astype(np.float32) / 255.0
image = torch.from_numpy(image)[None,]
if "A" in img.getbands():
mask = np.array(img.getchannel("A")).astype(np.float32) / 255.0
mask = 1.0 - torch.from_numpy(mask)
else:
mask = torch.zeros((64, 64), dtype=torch.float32, device="cpu")
return (image,)
@classmethod
def IS_CHANGED(s, image_path):
if not os.path.exists(image_path):
return ""
m = hashlib.sha256()
with open(image_path, "rb") as f:
m.update(f.read())
return m.digest().hex()
NODE_CLASS_MAPPINGS = {
"ViewportColor": ViewportColor,
"ViewportDepth": ViewportDepth,
}
NODE_DISPLAY_NAME_MAPPINGS = {
"ViewportColor": "From blender viewport color",
"ViewportDepth": "From blender Viewport depth",
}