Feat: first implementation

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SLAPaper
2023-04-06 04:14:37 +08:00
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# ComfyUI-Image-Selector
Select one or some of images from a batch
A custom node for (ComfyUI)[https://github.com/comfyanonymous/ComfyUI], which can select one or some of images from a batch.
## Background
ComfyUI dosn't handle batch generation seeds like A1111 WebUI do, so you can't simply increase the generation seed to get the desire image from a batch generation.
So here is a simple node that can select some of the images from a batch and pipe through for further use, such as scaling up or "hires fix".
Or you can use PreviewImage Node to go through all the images, and then rewire SaveImage with ImageSelector to save the one you want.
## Usage
Input: a list of selected indexes, start with 1 (not 0, sorry), seperated by comma.
For example (no surronding quotes):
1. "1": select the first image
2. "1,3,4,6,7": select the 1st, 3rd, 4th, 6th and 7th image
All indexes that cannot convert to integer or out of bounds will be ignored.
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# Copyright 2023 SLAPaper
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import typing as tg
class ImageSelector:
"""
Select some of the images and pipe through
"""
def __init__(self):
pass
@classmethod
def INPUT_TYPES(s):
"""
Input: list of index of selected image, seperated by comma
Indexes start with 1 for simplicity
"""
return {
"required": {
"images": ("IMAGE", ),
"selected_images": ("STRING", {
"multiline": False,
"default": "1,2,3"
}),
},
}
RETURN_TYPES = ("IMAGE", )
#RETURN_NAMES = ("image_output_name",)
FUNCTION = "run"
OUTPUT_NODE = False
CATEGORY = "image"
def run(self, images: tg.Sequence[tg.Any], selected_images: tg.Text):
res_images: tg.List[tg.Any] = []
for s in selected_images.strip().split(','):
try:
x: int = int(s.strip()) - 1
if x < len(images):
res_images.append(images[x])
except:
pass
if res_images:
return (res_images, )
return (images, )
# A dictionary that contains all nodes you want to export with their names
# NOTE: names should be globally unique
NODE_CLASS_MAPPINGS = {"ImageSelector": ImageSelector}