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from __future__ import annotations | |
from PIL import Image | |
import numpy as np | |
from server import PromptServer, BinaryEventTypes | |
class SendImageOnWebSocket: | |
def INPUT_TYPES(s): | |
return {"required": {"event": ("STRING", {"multiline": False}), "images": ("IMAGE",)}} | |
RETURN_TYPES = () | |
FUNCTION = "send_images" | |
OUTPUT_NODE = True | |
CATEGORY = "tensorops" | |
def send_images(self, event, images): | |
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, event], | |
server.client_id, | |
) | |
return () | |
class SendJsonOnWebSocket: | |
def INPUT_TYPES(s): | |
return {"required": {"event": ("STRING", {"multiline": False}), "json": ("JSON",)}} | |
RETURN_TYPES = () | |
FUNCTION = "send_json" | |
OUTPUT_NODE = True | |
CATEGORY = "tensorops" | |
def send_json(self, event, json): | |
server = PromptServer.instance | |
server.send_sync( | |
event, | |
json, | |
server.client_id, | |
) | |
return () |