Acly
69143ec68f
- base comfyui has an equivalent node since a while - implementation is kept for compatibility (for now)
142 lines
3.9 KiB
Python
142 lines
3.9 KiB
Python
from PIL import Image
|
|
import numpy as np
|
|
import base64
|
|
import torch
|
|
from io import BytesIO
|
|
from server import PromptServer, BinaryEventTypes
|
|
|
|
|
|
class LoadImageBase64:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required": {"image": ("STRING", {"multiline": False})}}
|
|
|
|
RETURN_TYPES = ("IMAGE", "MASK")
|
|
CATEGORY = "_external_tooling"
|
|
FUNCTION = "load_image"
|
|
|
|
def load_image(self, image):
|
|
imgdata = base64.b64decode(image)
|
|
img = Image.open(BytesIO(imgdata))
|
|
|
|
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")
|
|
|
|
img = img.convert("RGB")
|
|
img = np.array(img).astype(np.float32) / 255.0
|
|
img = torch.from_numpy(img)[None,]
|
|
|
|
return (img, mask)
|
|
|
|
|
|
class LoadMaskBase64:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required": {"mask": ("STRING", {"multiline": False})}}
|
|
|
|
RETURN_TYPES = ("MASK",)
|
|
CATEGORY = "_external_tooling"
|
|
FUNCTION = "load_mask"
|
|
|
|
def load_mask(self, mask):
|
|
imgdata = base64.b64decode(mask)
|
|
img = Image.open(BytesIO(imgdata))
|
|
img = np.array(img).astype(np.float32) / 255.0
|
|
img = torch.from_numpy(img)
|
|
if img.dim() == 3: # RGB(A) input, use red channel
|
|
img = img[:, :, 0]
|
|
return (img,)
|
|
|
|
|
|
class SendImageWebSocket:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {"required": {"images": ("IMAGE",)}}
|
|
|
|
RETURN_TYPES = ()
|
|
FUNCTION = "send_images"
|
|
OUTPUT_NODE = True
|
|
CATEGORY = "_external_tooling"
|
|
|
|
def send_images(self, images):
|
|
results = []
|
|
for tensor in images:
|
|
array = 255.0 * tensor.cpu().numpy()
|
|
image = Image.fromarray(np.clip(array, 0, 255).astype(np.uint8))
|
|
|
|
server = PromptServer.instance
|
|
server.send_sync(
|
|
BinaryEventTypes.UNENCODED_PREVIEW_IMAGE,
|
|
["PNG", image, None],
|
|
server.client_id,
|
|
)
|
|
results.append(
|
|
# Could put some kind of ID here, but for now just match them by index
|
|
{"source": "websocket", "content-type": "image/png", "type": "output"}
|
|
)
|
|
|
|
return {"ui": {"images": results}}
|
|
|
|
|
|
class CropImage:
|
|
"""Deprecated, ComfyUI has an ImageCrop node now which does the same."""
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"image": ("IMAGE",),
|
|
"x": (
|
|
"INT",
|
|
{"default": 0, "min": 0, "max": 8192, "step": 1},
|
|
),
|
|
"y": (
|
|
"INT",
|
|
{"default": 0, "min": 0, "max": 8192, "step": 1},
|
|
),
|
|
"width": (
|
|
"INT",
|
|
{"default": 512, "min": 1, "max": 8192, "step": 1},
|
|
),
|
|
"height": (
|
|
"INT",
|
|
{"default": 512, "min": 1, "max": 8192, "step": 1},
|
|
),
|
|
}
|
|
}
|
|
|
|
CATEGORY = "_external_tooling"
|
|
RETURN_TYPES = ("IMAGE",)
|
|
FUNCTION = "crop"
|
|
|
|
def crop(self, image, x, y, width, height):
|
|
out = image[:, y : y + height, x : x + width, :]
|
|
return (out,)
|
|
|
|
|
|
class ApplyMaskToImage:
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"image": ("IMAGE",),
|
|
"mask": ("MASK",),
|
|
}
|
|
}
|
|
|
|
CATEGORY = "_external_tooling"
|
|
RETURN_TYPES = ("IMAGE",)
|
|
FUNCTION = "apply_mask"
|
|
|
|
def apply_mask(self, image, mask):
|
|
out = image.movedim(-1, 1)
|
|
if out.shape[1] == 3: # RGB
|
|
out = torch.cat([out, torch.ones_like(out[:, :1, :, :])], dim=1)
|
|
for i in range(out.shape[0]):
|
|
out[i, 3, :, :] = mask
|
|
out = out.movedim(1, -1)
|
|
return (out,)
|