79 lines
3.4 KiB
Python
79 lines
3.4 KiB
Python
import torch
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from comfy_api_nodes.apis import GeminiPart, GeminiInlineData
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from comfy_api_nodes.util.conversions import tensor_to_base64_string
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class PD_ComfyPlusImage:
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"""
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将最多9个尺寸不一的图片按顺序整合打包为 GEMINI_INPUT_FILES，
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可以直接连接给支持 files 的大模型节点 (如 Nano Banana Pro 等)，
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从而完美突破 ComfyUI Batch 必须相同尺寸的限制。
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"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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# 第1张图片强制必填
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"required": {
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"image1": ("IMAGE", {"tooltip": "必须输入的第1张图片"}),
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},
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# 第 2-9 张及 previous_files 作为可选填
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"optional": {
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"image2": ("IMAGE", {"tooltip": "可选输入的第2张图片"}),
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"image3": ("IMAGE", {"tooltip": "可选输入的第3张图片"}),
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"image4": ("IMAGE", {"tooltip": "可选输入的第4张图片"}),
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"image5": ("IMAGE", {"tooltip": "可选输入的第5张图片"}),
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"image6": ("IMAGE", {"tooltip": "可选输入的第6张图片"}),
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"image7": ("IMAGE", {"tooltip": "可选输入的第7张图片"}),
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"image8": ("IMAGE", {"tooltip": "可选输入的第8张图片"}),
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"image9": ("IMAGE", {"tooltip": "可选输入的第9张图片"}),
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"previous_files": ("GEMINI_INPUT_FILES", {"tooltip": "如超过9张图需继续打包，可连接上一个该节点输出的files"}),
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}
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}
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RETURN_TYPES = ("GEMINI_INPUT_FILES",)
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RETURN_NAMES = ("files",)
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FUNCTION = "pack_images"
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CATEGORY = "PD_Tools"
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def pack_images(self, image1, image2=None, image3=None, image4=None,
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image5=None, image6=None, image7=None, image8=None,
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image9=None, previous_files=None):
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files_list = []
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# 如果需要无缝串联别的节点输出的 files ，优先加进去
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if previous_files is not None:
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files_list.extend(previous_files)
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images = [image1, image2, image3, image4, image5, image6, image7, image8, image9]
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for img in images:
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if img is not None:
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# 兼容万一单条线里输入了 Batch(N) 图片的特殊情况，分别解开处理
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for i in range(img.shape[0]):
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try:
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# 转换成 Base64
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img_b64 = tensor_to_base64_string(img[i].unsqueeze(0))
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# 构造为 Gemini 认证的 Part
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new_part = GeminiPart(
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inlineData=GeminiInlineData(
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mimeType="image/png",
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data=img_b64
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)
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)
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# 转成字典防止 Pydantic 跨模块传递对象时校验失败
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files_list.append(new_part.model_dump(mode="json", exclude_none=True))
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except Exception as e:
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print(f"[Error] PD_comfyplus_image pack failed for an image: {e}")
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return (files_list,)
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# 注册节点
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NODE_CLASS_MAPPINGS = {
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"PD_comfyplus_image": PD_ComfyPlusImage
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"PD_comfyplus_image": "PD_comfyplus_image (Multi-Size Pack)"
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}
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