130 lines
4.4 KiB
Python
130 lines
4.4 KiB
Python
from nodes import SaveImage
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import json
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from PIL import Image
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import numpy as np
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from PIL.PngImagePlugin import PngInfo
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from comfy.cli_args import args
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import folder_paths
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from folder_paths import get_filename_list
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import comfy
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import os
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class ControlNetSelector:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"control_net_name": (get_filename_list("controlnet"),)
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}
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}
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RETURN_TYPES = (folder_paths.get_filename_list("controlnet"), )
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RETURN_NAMES = ("control_net_name",)
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FUNCTION = "get_control_net_name"
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CATEGORY = 'Suplex'
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def get_control_net_name(self, control_net_name):
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return (control_net_name,)
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class ControlNetOptionalLoader:
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@classmethod
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def INPUT_TYPES(s):
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# Extending the file list with a 'None' option for manual selection
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return {"required": { "control_net_name": (["None"] + folder_paths.get_filename_list("controlnet"), )}}
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RETURN_TYPES = ("CONTROL_NET",)
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FUNCTION = "load_controlnet"
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CATEGORY = "Suplex"
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def load_controlnet(self, control_net_name):
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# Only proceed if a control_net_name is provided and it is not 'None'
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if control_net_name and control_net_name != "None":
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controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
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controlnet = comfy.controlnet.load_controlnet(controlnet_path)
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return (controlnet,)
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# Return None or skip the operation if 'None' is selected or no input is provided
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return (None,)
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class DiffusersSelector:
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CATEGORY = 'Suplex'
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RETURN_TYPES = (folder_paths.get_folder_paths("diffusers"), )
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RETURN_NAMES = ("model_path",)
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FUNCTION = "select_model_path"
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@classmethod
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def INPUT_TYPES(cls):
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paths = []
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for search_path in folder_paths.get_folder_paths("diffusers"):
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if os.path.exists(search_path):
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for root, subdirs, files in os.walk(search_path, followlinks=True):
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if "model_index.json" in files:
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paths.append(os.path.relpath(root, start=search_path))
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return {"required": {"model_path": (paths,), }}
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def select_model_path(self, model_path):
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# This function simply returns the model path that was selected
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return (model_path,)
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class SaveImageJPGNoMeta(SaveImage):
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@classmethod
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def INPUT_TYPES(s):
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output = {
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"required": {
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"images": ("IMAGE",),
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"filename_prefix": ("STRING", {"default": "ComfyUI"}),
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"quality": ("INT", {"default": 100, "min": 1, "max": 100, "step": 1}),
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},
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}
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return output
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RETURN_TYPES = ()
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FUNCTION = "save_images"
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CATEGORY = "image"
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def save_images(
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self,
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images,
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filename_prefix="ComfyUI",
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format="jpeg",
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quality=92,
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):
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filename_prefix += self.prefix_append
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full_output_folder, filename, counter, subfolder, filename_prefix = (
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folder_paths.get_save_image_path(
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filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
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)
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)
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results = list()
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for batch_number, image in enumerate(images):
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i = 255.0 * image.cpu().numpy()
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img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
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filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
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file = f"{filename_with_batch_num}_{counter:05}_.{format}"
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results.append(
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{"filename": file, "subfolder": subfolder, "type": self.type}
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)
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counter += 1
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img.save(os.path.join(full_output_folder, file), quality=quality, optimize=True)
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return {"ui": {"images": results}}
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# Export node
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NODE_CLASS_MAPPINGS = {
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"ControlNet Selector": ControlNetSelector,
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"ControlNetOptionalLoader": ControlNetOptionalLoader,
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"DiffusersSelector": DiffusersSelector,
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"SaveImageJPGNoMeta": SaveImageJPGNoMeta,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ControlNet Selector": "ControlNet Selector",
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"ControlNetOptionalLoader": "Load Optional ControlNet Model",
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"DiffusersSelector": "Diffusers Selector",
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"SaveImageJPGNoMeta": "Save Image JPG No Meta",
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}
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