88 lines
3.1 KiB
Python
Executable File
88 lines
3.1 KiB
Python
Executable File
import os
|
|
import json
|
|
import torch
|
|
import numpy as np
|
|
from PIL import Image
|
|
from PIL.PngImagePlugin import PngInfo
|
|
from comfy.cli_args import args
|
|
import folder_paths
|
|
|
|
class EmAySee_SaveImage:
|
|
def __init__(self):
|
|
self.output_dir = folder_paths.get_output_directory()
|
|
self.type = "output"
|
|
self.prefix_append = ""
|
|
self.compress_level = 4
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"images": ("IMAGE", ),
|
|
"filename_prefix": ("STRING", {"default": "ComfyUI"}),
|
|
"save_metadata": ("BOOLEAN", {"default": True}),
|
|
},
|
|
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
|
|
}
|
|
|
|
RETURN_TYPES = ()
|
|
FUNCTION = "save_images"
|
|
OUTPUT_NODE = True
|
|
CATEGORY = "EmAySee_Nodes/Image"
|
|
|
|
def save_images(self, images, filename_prefix="ComfyUI", save_metadata=True, prompt=None, extra_pnginfo=None):
|
|
filename_prefix += self.prefix_append
|
|
|
|
is_absolute = os.path.isabs(filename_prefix) or ".." in filename_prefix or "/" in filename_prefix or "\\" in filename_prefix
|
|
|
|
if is_absolute:
|
|
full_output_folder = os.path.dirname(filename_prefix)
|
|
if not os.path.exists(full_output_folder):
|
|
os.makedirs(full_output_folder, exist_ok=True)
|
|
filename = os.path.basename(filename_prefix)
|
|
subfolder = ""
|
|
|
|
# Simple manual counter for absolute paths
|
|
files = os.listdir(full_output_folder)
|
|
existing_counters = []
|
|
for f in files:
|
|
if f.startswith(filename) and "_" in f:
|
|
parts = f.split("_")
|
|
for p in parts:
|
|
if p.isdigit():
|
|
existing_counters.append(int(p))
|
|
counter = max(existing_counters) + 1 if existing_counters else 1
|
|
else:
|
|
full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0])
|
|
|
|
results = list()
|
|
for image in images:
|
|
i = 255. * image.cpu().numpy()
|
|
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
|
|
metadata = None
|
|
if save_metadata:
|
|
metadata = PngInfo()
|
|
if prompt is not None:
|
|
metadata.add_text("prompt", json.dumps(prompt))
|
|
if extra_pnginfo is not None:
|
|
for r in extra_pnginfo:
|
|
metadata.add_text(r, json.dumps(extra_pnginfo[r]))
|
|
|
|
file = f"{filename}_{counter:05}_.png"
|
|
img.save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=self.compress_level)
|
|
results.append({
|
|
"filename": file,
|
|
"subfolder": subfolder,
|
|
"type": self.type
|
|
})
|
|
counter += 1
|
|
|
|
return {"ui": {"images": results}}
|
|
|
|
NODE_CLASS_MAPPINGS = {
|
|
"EmAySee_SaveImage": EmAySee_SaveImage
|
|
}
|
|
|
|
NODE_DISPLAY_NAME_MAPPINGS = {
|
|
"EmAySee_SaveImage": "EmAySee Save Image"
|
|
} |