File size: 9,101 Bytes
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import os
import re
from datetime import datetime
from PIL import Image
from PIL.PngImagePlugin import PngInfo
import numpy as np
import piexif
import piexif.helper
import folder_paths
from comfy.cli_args import args
from .base import BaseNode
from ..capture import Capture
from .. import hook
from ..trace import Trace
from ..defs.combo import SAMPLER_SELECTION_METHOD
# refer. https://github.com/comfyanonymous/ComfyUI/blob/38b7ac6e269e6ecc5bdd6fefdfb2fb1185b09c9d/nodes.py#L1411
class SaveImageWithMetaData(BaseNode):
SAVE_FILE_FORMATS = ["png", "jpeg", "webp"]
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"}),
"sampler_selection_method": (SAMPLER_SELECTION_METHOD,),
"sampler_selection_node_id": (
"INT",
{"default": 0, "min": 0, "max": 999999999, "step": 1},
),
"file_format": (s.SAVE_FILE_FORMATS,),
},
"optional": {
"lossless_webp": ("BOOLEAN", {"default": True}),
"quality": ("INT", {"default": 100, "min": 1, "max": 100}),
"save_workflow_json": ("BOOLEAN", {"default": False}),
"add_counter_to_filename": ("BOOLEAN", {"default": True}),
},
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
}
RETURN_TYPES = ()
FUNCTION = "save_images"
OUTPUT_NODE = True
pattern_format = re.compile(r"(%[^%]+%)")
def save_images(
self,
images,
filename_prefix="ComfyUI",
sampler_selection_method=SAMPLER_SELECTION_METHOD[0],
sampler_selection_node_id=0,
file_format="png",
lossless_webp=True,
quality=100,
save_workflow_json=False,
add_counter_to_filename=True,
prompt=None,
extra_pnginfo=None,
):
pnginfo_dict_src = self.gen_pnginfo(
sampler_selection_method, sampler_selection_node_id
)
results = list()
for index, image in enumerate(images):
i = 255.0 * image.cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
pnginfo_dict = pnginfo_dict_src.copy()
if len(images) >= 2:
pnginfo_dict["Batch index"] = index
pnginfo_dict["Batch size"] = len(images)
metadata = None
parameters = ""
if not args.disable_metadata:
metadata = PngInfo()
parameters = Capture.gen_parameters_str(pnginfo_dict)
if pnginfo_dict:
metadata.add_text("parameters", parameters)
if prompt is not None:
metadata.add_text("prompt", json.dumps(prompt))
if extra_pnginfo is not None:
for x in extra_pnginfo:
metadata.add_text(x, json.dumps(extra_pnginfo[x]))
filename_prefix = self.format_filename(filename_prefix, pnginfo_dict)
output_path = os.path.join(self.output_dir, filename_prefix)
if not os.path.exists(os.path.dirname(output_path)):
os.makedirs(os.path.dirname(output_path), exist_ok=True)
(
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]
)
base_filename = filename
if add_counter_to_filename:
base_filename += f"_{counter:05}_"
file = base_filename + "." + file_format
file_path = os.path.join(full_output_folder, file)
if file_format == "png":
img.save(
file_path,
pnginfo=metadata,
compress_level=self.compress_level,
)
else:
img.save(
file_path,
optimize=True,
quality=quality,
lossless=lossless_webp,
)
exif_bytes = piexif.dump(
{
"Exif": {
piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(
parameters, encoding="unicode"
),
},
}
)
piexif.insert(exif_bytes, file_path)
if save_workflow_json:
file_path_workflow = os.path.join(
full_output_folder, f"{base_filename}.json"
)
with open(file_path_workflow, "w", encoding="utf-8") as f:
json.dump(extra_pnginfo["workflow"], f)
results.append(
{"filename": file, "subfolder": subfolder, "type": self.type}
)
counter += 1
return {"ui": {"images": results}}
@classmethod
def gen_pnginfo(cls, sampler_selection_method, sampler_selection_node_id):
# get all node inputs
inputs = Capture.get_inputs()
# get sampler node before this node
trace_tree_from_this_node = Trace.trace(
hook.current_save_image_node_id, hook.current_prompt
)
inputs_before_this_node = Trace.filter_inputs_by_trace_tree(
inputs, trace_tree_from_this_node
)
sampler_node_id = Trace.find_sampler_node_id(
trace_tree_from_this_node,
sampler_selection_method,
sampler_selection_node_id,
)
# get inputs before sampler node
trace_tree_from_sampler_node = Trace.trace(sampler_node_id, hook.current_prompt)
inputs_before_sampler_node = Trace.filter_inputs_by_trace_tree(
inputs, trace_tree_from_sampler_node
)
# generate PNGInfo from inputs
pnginfo_dict = Capture.gen_pnginfo_dict(
inputs_before_sampler_node, inputs_before_this_node
)
return pnginfo_dict
@classmethod
def format_filename(cls, filename, pnginfo_dict):
result = re.findall(cls.pattern_format, filename)
for segment in result:
parts = segment.replace("%", "").split(":")
key = parts[0]
if key == "seed":
filename = filename.replace(segment, str(pnginfo_dict.get("Seed", "")))
elif key == "width":
w = pnginfo_dict.get("Size", "x").split("x")[0]
filename = filename.replace(segment, str(w))
elif key == "height":
w = pnginfo_dict.get("Size", "x").split("x")[1]
filename = filename.replace(segment, str(w))
elif key == "pprompt":
prompt = pnginfo_dict.get("Positive prompt", "").replace("\n", " ")
if len(parts) >= 2:
length = int(parts[1])
prompt = prompt[:length]
filename = filename.replace(segment, prompt.strip())
elif key == "nprompt":
prompt = pnginfo_dict.get("Negative prompt", "").replace("\n", " ")
if len(parts) >= 2:
length = int(parts[1])
prompt = prompt[:length]
filename = filename.replace(segment, prompt.strip())
elif key == "model":
model = pnginfo_dict.get("Model", "")
model = os.path.splitext(os.path.basename(model))[0]
if len(parts) >= 2:
length = int(parts[1])
model = model[:length]
filename = filename.replace(segment, model)
elif key == "date":
now = datetime.now()
date_table = {
"yyyy": now.year,
"MM": now.month,
"dd": now.day,
"hh": now.hour,
"mm": now.minute,
"ss": now.second,
}
if len(parts) >= 2:
date_format = parts[1]
for k, v in date_table.items():
date_format = date_format.replace(k, str(v).zfill(len(k)))
filename = filename.replace(segment, date_format)
else:
date_format = "yyyyMMddhhmmss"
for k, v in date_table.items():
date_format = date_format.replace(k, str(v).zfill(len(k)))
filename = filename.replace(segment, date_format)
return filename
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