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import nodes
import folder_paths
from comfy.cli_args import args
from PIL import Image
from PIL.PngImagePlugin import PngInfo
import numpy as np
import json
import os
MAX_RESOLUTION = nodes.MAX_RESOLUTION
class ImageCrop:
@classmethod
def INPUT_TYPES(s):
return {"required": { "image": ("IMAGE",),
"width": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
"height": ("INT", {"default": 512, "min": 1, "max": MAX_RESOLUTION, "step": 1}),
"x": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
"y": ("INT", {"default": 0, "min": 0, "max": MAX_RESOLUTION, "step": 1}),
}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "crop"
CATEGORY = "image/transform"
def crop(self, image, width, height, x, y):
x = min(x, image.shape[2] - 1)
y = min(y, image.shape[1] - 1)
to_x = width + x
to_y = height + y
img = image[:,y:to_y, x:to_x, :]
return (img,)
class RepeatImageBatch:
@classmethod
def INPUT_TYPES(s):
return {"required": { "image": ("IMAGE",),
"amount": ("INT", {"default": 1, "min": 1, "max": 64}),
}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "repeat"
CATEGORY = "image/batch"
def repeat(self, image, amount):
s = image.repeat((amount, 1,1,1))
return (s,)
class ImageFromBatch:
@classmethod
def INPUT_TYPES(s):
return {"required": { "image": ("IMAGE",),
"batch_index": ("INT", {"default": 0, "min": 0, "max": 63}),
"length": ("INT", {"default": 1, "min": 1, "max": 64}),
}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "frombatch"
CATEGORY = "image/batch"
def frombatch(self, image, batch_index, length):
s_in = image
batch_index = min(s_in.shape[0] - 1, batch_index)
length = min(s_in.shape[0] - batch_index, length)
s = s_in[batch_index:batch_index + length].clone()
return (s,)
class SaveAnimatedWEBP:
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = "output"
self.prefix_append = ""
methods = {"default": 4, "fastest": 0, "slowest": 6}
@classmethod
def INPUT_TYPES(s):
return {"required":
{"images": ("IMAGE", ),
"filename_prefix": ("STRING", {"default": "ComfyUI"}),
"fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}),
"lossless": ("BOOLEAN", {"default": True}),
"quality": ("INT", {"default": 80, "min": 0, "max": 100}),
"method": (list(s.methods.keys()),),
# "num_frames": ("INT", {"default": 0, "min": 0, "max": 8192}),
},
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
}
RETURN_TYPES = ()
FUNCTION = "save_images"
OUTPUT_NODE = True
CATEGORY = "image/animation"
def save_images(self, images, fps, filename_prefix, lossless, quality, method, num_frames=0, prompt=None, extra_pnginfo=None):
method = self.methods.get(method)
filename_prefix += self.prefix_append
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()
pil_images = []
for image in images:
i = 255. * image.cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
pil_images.append(img)
metadata = pil_images[0].getexif()
if not args.disable_metadata:
if prompt is not None:
metadata[0x0110] = "prompt:{}".format(json.dumps(prompt))
if extra_pnginfo is not None:
inital_exif = 0x010f
for x in extra_pnginfo:
metadata[inital_exif] = "{}:{}".format(x, json.dumps(extra_pnginfo[x]))
inital_exif -= 1
if num_frames == 0:
num_frames = len(pil_images)
c = len(pil_images)
for i in range(0, c, num_frames):
file = f"{filename}_{counter:05}_.webp"
pil_images[i].save(os.path.join(full_output_folder, file), save_all=True, duration=int(1000.0/fps), append_images=pil_images[i + 1:i + num_frames], exif=metadata, lossless=lossless, quality=quality, method=method)
results.append({
"filename": file,
"subfolder": subfolder,
"type": self.type
})
counter += 1
animated = num_frames != 1
return { "ui": { "images": results, "animated": (animated,) } }
class SaveAnimatedPNG:
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = "output"
self.prefix_append = ""
@classmethod
def INPUT_TYPES(s):
return {"required":
{"images": ("IMAGE", ),
"filename_prefix": ("STRING", {"default": "ComfyUI"}),
"fps": ("FLOAT", {"default": 6.0, "min": 0.01, "max": 1000.0, "step": 0.01}),
"compress_level": ("INT", {"default": 4, "min": 0, "max": 9})
},
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
}
RETURN_TYPES = ()
FUNCTION = "save_images"
OUTPUT_NODE = True
CATEGORY = "image/animation"
def save_images(self, images, fps, compress_level, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
filename_prefix += self.prefix_append
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()
pil_images = []
for image in images:
i = 255. * image.cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
pil_images.append(img)
metadata = None
if not args.disable_metadata:
metadata = PngInfo()
if prompt is not None:
metadata.add(b"comf", "prompt".encode("latin-1", "strict") + b"\0" + json.dumps(prompt).encode("latin-1", "strict"), after_idat=True)
if extra_pnginfo is not None:
for x in extra_pnginfo:
metadata.add(b"comf", x.encode("latin-1", "strict") + b"\0" + json.dumps(extra_pnginfo[x]).encode("latin-1", "strict"), after_idat=True)
file = f"{filename}_{counter:05}_.png"
pil_images[0].save(os.path.join(full_output_folder, file), pnginfo=metadata, compress_level=compress_level, save_all=True, duration=int(1000.0/fps), append_images=pil_images[1:])
results.append({
"filename": file,
"subfolder": subfolder,
"type": self.type
})
return { "ui": { "images": results, "animated": (True,)} }
NODE_CLASS_MAPPINGS = {
"ImageCrop": ImageCrop,
"RepeatImageBatch": RepeatImageBatch,
"ImageFromBatch": ImageFromBatch,
"SaveAnimatedWEBP": SaveAnimatedWEBP,
"SaveAnimatedPNG": SaveAnimatedPNG,
}
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