├── .github └── workflows │ └── publish.yml ├── LICENSE ├── README.md ├── __init__.py ├── comfyui_imagefx.py ├── comfyui_whisk.py ├── googel.json ├── pyproject.toml ├── requirements.txt ├── utils.py └── workflows ├── ComfyUI-ImageFx.json ├── ComfyUI-Whisk&ImageFx.json └── ComfyUI-Whisk.json /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | name: Publish to Comfy registry 2 | on: 3 | workflow_dispatch: 4 | push: 5 | branches: 6 | - main 7 | - master 8 | paths: 9 | - "pyproject.toml" 10 | 11 | permissions: 12 | issues: write 13 | 14 | jobs: 15 | publish-node: 16 | name: Publish Custom Node to registry 17 | runs-on: ubuntu-latest 18 | if: ${{ github.repository_owner == 'ainewsto' }} 19 | steps: 20 | - name: Check out code 21 | uses: actions/checkout@v4 22 | with: 23 | submodules: true 24 | - name: Publish Custom Node 25 | uses: Comfy-Org/publish-node-action@v1 26 | with: 27 | ## Add your own personal access token to your Github Repository secrets and reference it here. 28 | personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }} 29 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ![新建项目](https://github.com/user-attachments/assets/fad1e0ab-7fe4-41bb-b65d-fd2b1b936f08) 2 | 3 | ![whisk_storyboard125f1524db374ba182fb3bc29c6559](https://github.com/user-attachments/assets/cea9358d-9e6b-4b03-ba8e-fa048314c8ca) 4 | 5 |
6 | 7 | Static Badge 8 | # 👋🏻 如何设置api（非官方）? 9 | ## 视频教程地址：https://www.bilibili.com/video/BV1NnrCYCE9d 10 | ## 请打开googel.json文件，如下图所示 11 | 12 | ![3736698276867701ade5ba6e8f34545](https://github.com/user-attachments/assets/5914fa4a-db9a-4552-8b36-6adc4b7eaffd) 13 | 14 |
15 | 16 | 17 | * `"user"，"expires"，"access_token"，"EMAIL" `: 这个几个数值在下图所示的位置找到并且填写好~ 18 | 19 | ![ac1ec09cc0d8f5968b2b188f695f014](https://github.com/user-attachments/assets/44c4aa13-e551-483b-87f0-46110c3b9187) 20 | 21 | 22 | 23 | * `"cookies" `: 这个需要在Whisk界面随便上传一张图片才会出现，然后看下面图片所示，并且填写好保存 24 | 25 | ![049cdc2fcd74fcc47540c6f0d856bc6](https://github.com/user-attachments/assets/4d9e2639-f41e-41e2-9229-b91ef01788f4) 26 | 27 | ![d2878b8880c98048673d2832d2fec4d](https://github.com/user-attachments/assets/9b492f47-29dc-4843-a9e0-8862d25175f5) 28 | 29 | > \[!IMPORTANT]\ 30 | > 非官方api，所以随时都有可能被毙掉，而且也有封号风险，被封别怪我，别怪我，别怪我！且用且珍惜！！~ 31 | > 32 | > googel.json里面填写的信息都是有时效性的，如果突然在comfyui里面报错401就考虑更新下 33 | > 34 | > 国内用户需要魔法，需要魔法，需要魔法，而且最佳是美国ip！！！！！不然不行，不然不行，不然不行！！！ 35 | > 36 | 37 | # 🥵 comfyui workflows 38 | 39 | ## ComfyUI-Whisk🌪️ 40 | * `Whisk `: 因为人间这位小天使不断地问我谷歌这个反推，我昨天有时间就弄了，这个节点可以用啦反推图片。而且比官方一次生成图片更多，可生成4张图片。 41 | ![8fdf6a4ac8beb4650c0afb31e3a1cc9](https://github.com/user-attachments/assets/a50723a0-78b5-4554-922c-aa416d496ad4) 42 | 43 | 44 | ## ComfyUI-ImageFx🖼️ 45 | * `ImageFx`: 跟官方一样，就是文生图节点。 46 | ![8b614f5cc8fdecb56c278ff74f0818d](https://github.com/user-attachments/assets/e93849e1-0414-4110-83a5-77716d230d2d) 47 | 48 | 49 | ## ComfyUI-Whisk-Prompts🌪️ 50 | * `Whisk-Prompts`: 用来输出最终生成图片的提示词节点。 51 | ![1e555771af62beeeb7a7d7903e52a41](https://github.com/user-attachments/assets/95736792-b83b-4b02-8bea-e516d916825c) 52 | 53 | 54 | # 更新 Update： 55 | 56 | 20250110：`ComfyUI-Whisk🌪️`: 修改图片输入接口可以任意输入图片，生成不同效果，不需要同时输入3张。 57 | 新增节点：ComfyUI-Whisk-Prompts🌪️ 58 |
59 | 查看更新/Update 60 | 61 | ![c4a3a8e27ce5ab65fbb18d897ce0bd2](https://github.com/user-attachments/assets/e7247daa-5ed2-4614-8660-aff9bd640f80) 62 | ![0ab3139bdde955b8bdb1249207847ca](https://github.com/user-attachments/assets/1a5a0fbe-8415-4dd3-9401-624d1a5e4e5a) 63 | ![7c851d570fedef52fceb220c31a22b2](https://github.com/user-attachments/assets/7f2af700-2a97-4451-8448-7439c239b738) 64 | ![b2ba12be74c7209f0c8fdd3ce20cd55](https://github.com/user-attachments/assets/14f0db0e-1d2a-4282-8d30-0de03bef607b) 65 | 66 | 67 |
68 | 69 | # :dizzy:插件感谢原项目 Comfy Resources： 70 | 71 | 72 | https://github.com/comfyanonymous/ComfyUI 73 | 74 | 75 | 76 | ## Star History 77 | 78 | [![Star History Chart](https://api.star-history.com/svg?repos=ainewsto/comfyui-labs-google&type=Date)](https://star-history.com/#ainewsto/comfyui-labs-google&Date) 79 | 80 | 81 | ## 🚀 About me 82 | * website: https://ainewsto.com 83 | * Welcome valuable suggestions! 📧 **Email**: [3508432500@qq.com](mailto:1544007699@qq.com) 84 | -------------------------------------------------------------------------------- /__init__.py: -------------------------------------------------------------------------------- 1 | from .comfyui_whisk import NODE_CLASS_MAPPINGS as WHISK_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as WHISK_NODE_DISPLAY_NAME_MAPPINGS 2 | from .comfyui_imagefx import NODE_CLASS_MAPPINGS as COMFYUI_IMAGEFX_NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as COMFYUI_IMAGEFX_NODE_DISPLAY_NAME_MAPPINGS 3 | 4 | NODE_CLASS_MAPPINGS = {**WHISK_NODE_CLASS_MAPPINGS, **COMFYUI_IMAGEFX_NODE_CLASS_MAPPINGS} 5 | NODE_DISPLAY_NAME_MAPPINGS = {**WHISK_NODE_DISPLAY_NAME_MAPPINGS, **COMFYUI_IMAGEFX_NODE_DISPLAY_NAME_MAPPINGS} 6 | 7 | __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS'] 8 | 9 | -------------------------------------------------------------------------------- /comfyui_imagefx.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | import base64 4 | import requests 5 | from io import BytesIO 6 | import numpy as np 7 | import torch 8 | import time 9 | from PIL import Image, UnidentifiedImageError 10 | from typing import List, Union, Tuple 11 | import comfy.utils 12 | from .utils import pil2tensor, tensor2pil 13 | import chardet 14 | 15 | class ComfyUIImageFxNode: 16 | def __init__(self): 17 | self._initialize_auth() 18 | self.aspect_ratio_display = { 19 | "1:1 (Square)": "IMAGE_ASPECT_RATIO_SQUARE", 20 | "9:16 (Portrait)": "IMAGE_ASPECT_RATIO_PORTRAIT", 21 | "16:9 (Landscape)": "IMAGE_ASPECT_RATIO_LANDSCAPE", 22 | "3:4 (Portrait)": "IMAGE_ASPECT_RATIO_PORTRAIT_THREE_FOUR", 23 | "4:3 (Landscape)": "IMAGE_ASPECT_RATIO_LANDSCAPE_FOUR_THREE" 24 | } 25 | 26 | def _initialize_auth(self): 27 | try: 28 | current_dir = os.path.dirname(os.path.abspath(__file__)) 29 | config_file_path = os.path.join(current_dir, 'googel.json') 30 | 31 | with open(config_file_path, 'rb') as file: 32 | content = file.read() 33 | encoding = chardet.detect(content)['encoding'] 34 | 35 | with open(config_file_path, 'r', encoding=encoding) as f: 36 | self.auth_config = json.load(f) 37 | 38 | self.access_token = self.auth_config.get('access_token') 39 | self.user = self.auth_config.get('user', {}) 40 | self.expires = self.auth_config.get('expires') 41 | self.cookies = {cookie['name']: cookie['value'] for cookie in self.auth_config.get('cookies', [])} 42 | 43 | if not self.access_token: 44 | raise ValueError("Access token not found in googel.json") 45 | 46 | except Exception as e: 47 | print(f"Authentication initialization error: {str(e)}") 48 | raise 49 | 50 | @classmethod 51 | def INPUT_TYPES(cls): 52 | aspect_ratios = [ 53 | "1:1 (Square)", 54 | "9:16 (Portrait)", 55 | "16:9 (Landscape)", 56 | "3:4 (Portrait)", 57 | "4:3 (Landscape)" 58 | ] 59 | return { 60 | "required": { 61 | "prompt": ("STRING", {"multiline": True}), 62 | "seed": ("INT", {"default": 0, "min": 0, "max": 999999}), 63 | "aspect_ratio": (aspect_ratios, {"default": "16:9 (Landscape)"}), 64 | "num_images": ("INT", {"default": 4, "min": 1, "max": 4}) 65 | } 66 | } 67 | 68 | RETURN_TYPES = ("IMAGE", "STRING") 69 | RETURN_NAMES = ("generated_images", "seed") 70 | FUNCTION = "generate_image" 71 | CATEGORY = "comfyui-labs-google" 72 | 73 | def _get_api_aspect_ratio(self, display_ratio: str) -> str: 74 | """Convert display aspect ratio to API format""" 75 | return self.aspect_ratio_display.get(display_ratio, "IMAGE_ASPECT_RATIO_LANDSCAPE") 76 | 77 | def generate_image(self, prompt: str, seed: int, aspect_ratio: str, num_images: int = 4) -> Tuple[torch.Tensor, str]: 78 | pbar = comfy.utils.ProgressBar(100) 79 | session_id = f";{int(time.time() * 1000)}" 80 | api_aspect_ratio = self._get_api_aspect_ratio(aspect_ratio) 81 | 82 | headers = { 83 | "accept": "*/*", 84 | "accept-encoding": "gzip, deflate, br, zstd", 85 | "accept-language": "zh-CN,zh;q=0.9,en;q=0.8", 86 | "authorization": f"Bearer {self.access_token}", 87 | "content-type": "application/json", 88 | "origin": "https://labs.google", 89 | "referer": "https://labs.google/", 90 | "sec-ch-ua": '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"', 91 | "sec-ch-ua-mobile": "?0", 92 | "sec-ch-ua-platform": '"Windows"', 93 | "sec-fetch-dest": "empty", 94 | "sec-fetch-mode": "cors", 95 | "sec-fetch-site": "same-origin", 96 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" 97 | } 98 | 99 | json_data = { 100 | "userInput": { 101 | "candidatesCount": num_images, 102 | "prompts": [prompt], 103 | "isExpandedPrompt": False, 104 | "seed": seed % 1000000 105 | }, 106 | "clientContext": { 107 | "sessionId": session_id, 108 | "tool": "IMAGE_FX" 109 | }, 110 | "aspectRatio": api_aspect_ratio, 111 | "modelInput": { 112 | "modelNameType": "IMAGEN_3_1" 113 | } 114 | } 115 | 116 | pbar.update_absolute(20) 117 | 118 | try: 119 | cleaned_headers = {k: v for k, v in headers.items() if not k.startswith(':')} 120 | 121 | response = requests.post( 122 | "https://aisandbox-pa.googleapis.com/v1:runImageFx", 123 | json=json_data, 124 | headers=cleaned_headers, 125 | cookies=self.cookies 126 | ) 127 | 128 | response.raise_for_status() 129 | result = response.json() 130 | 131 | pbar.update_absolute(50) 132 | 133 | if "imagePanels" in result: 134 | image_panel = result["imagePanels"][0] 135 | images = [] 136 | response_seed = None 137 | 138 | for img_data in image_panel["generatedImages"]: 139 | try: 140 | encoded_image = img_data["encodedImage"] 141 | if response_seed is None: 142 | response_seed = img_data.get("seed", seed) 143 | 144 | # Decode base64 to bytes 145 | if "," in encoded_image: 146 | encoded_image = encoded_image.split(",", 1)[1] 147 | image_bytes = base64.b64decode(encoded_image) 148 | 149 | # Convert to PIL Image 150 | pil_image = Image.open(BytesIO(image_bytes)) 151 | img_tensor = pil2tensor(pil_image) 152 | images.append(img_tensor) 153 | 154 | pbar.update_absolute(50 + (40 * len(images) // num_images)) 155 | 156 | except Exception as e: 157 | print(f"Error processing image: {str(e)}") 158 | 159 | if images: 160 | # Combine all images into a single tensor with shape [N, H, W, 3] 161 | combined_tensor = torch.cat(images, dim=0) 162 | pbar.update_absolute(100) 163 | return (combined_tensor, str(response_seed)) 164 | 165 | # Return empty tensor with correct shape if no valid images 166 | pbar.update_absolute(100) 167 | return (torch.zeros((num_images, 512, 512, 3)), str(seed)) 168 | 169 | except requests.exceptions.RequestException as e: 170 | print(f"API request error: {str(e)}") 171 | if hasattr(e.response, 'text'): 172 | print(f"Response content: {e.response.text}") 173 | return (torch.zeros((num_images, 512, 512, 3)), str(seed)) 174 | except Exception as e: 175 | print(f"Error generating images: {str(e)}") 176 | return (torch.zeros((num_images, 512, 512, 3)), str(seed)) 177 | 178 | 179 | NODE_CLASS_MAPPINGS = { 180 | "ComfyUI-ImageFx": ComfyUIImageFxNode 181 | } 182 | 183 | NODE_DISPLAY_NAME_MAPPINGS = { 184 | "ComfyUI-ImageFx": "ComfyUI-ImageFx🖼️" 185 | } 186 | -------------------------------------------------------------------------------- /comfyui_whisk.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | import base64 4 | import requests 5 | from io import BytesIO 6 | import numpy as np 7 | import torch 8 | import uuid 9 | import time 10 | from PIL import Image, UnidentifiedImageError 11 | from typing import List, Union 12 | import comfy.utils 13 | from .utils import pil2tensor, tensor2pil 14 | import chardet 15 | 16 | class WhiskNode: 17 | def __init__(self): 18 | self._initialize_auth() 19 | 20 | def _initialize_auth(self): 21 | try: 22 | current_dir = os.path.dirname(os.path.abspath(__file__)) 23 | config_file_path = os.path.join(current_dir, 'googel.json') 24 | 25 | with open(config_file_path, 'rb') as file: 26 | content = file.read() 27 | encoding = chardet.detect(content)['encoding'] 28 | 29 | with open(config_file_path, 'r', encoding=encoding) as f: 30 | self.auth_config = json.load(f) 31 | 32 | self.access_token = self.auth_config.get('access_token') 33 | self.user = self.auth_config.get('user', {}) 34 | self.expires = self.auth_config.get('expires') 35 | self.cookies = {cookie['name']: cookie['value'] for cookie in self.auth_config.get('cookies', [])} 36 | 37 | if not self.access_token: 38 | raise ValueError("Access token not found in googel.json") 39 | 40 | except Exception as e: 41 | print(f"Authentication initialization error: {str(e)}") 42 | raise 43 | 44 | @classmethod 45 | def INPUT_TYPES(cls): 46 | return { 47 | "required": { 48 | "prompt": ("STRING", {"multiline": True}), 49 | "num_images": ("INT", {"default": 2, "min": 1, "max": 4}), 50 | "seed": ("INT", {"default": 0, "min": 0, "max": 2147483647}), 51 | }, 52 | "optional": { 53 | "subject_image": ("IMAGE",), 54 | "scene_image": ("IMAGE",), 55 | "style_image": ("IMAGE",), 56 | } 57 | } 58 | 59 | RETURN_TYPES = ("IMAGE", "STRING", "STRING", "STRING", "STRING") 60 | RETURN_NAMES = ("generated_images", "subject_prompt", "scene_prompt", "style_prompt", "prompts") 61 | FUNCTION = "generate_image" 62 | CATEGORY = "comfyui-labs-google" 63 | 64 | def _get_headers(self): 65 | return { 66 | "accept": "*/*", 67 | "accept-encoding": "gzip, deflate, br, zstd", 68 | "accept-language": "zh-CN,zh;q=0.9,en;q=0.8", 69 | "authorization": f"Bearer {self.access_token}", 70 | "content-type": "application/json", 71 | "origin": "https://labs.google", 72 | "referer": "https://labs.google/fx/zh/tools/whisk", 73 | "sec-ch-ua": '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"', 74 | "sec-ch-ua-mobile": "?0", 75 | "sec-ch-ua-platform": '"Windows"', 76 | "sec-fetch-dest": "empty", 77 | "sec-fetch-mode": "cors", 78 | "sec-fetch-site": "same-origin", 79 | "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" 80 | } 81 | 82 | def _generate_caption(self, image_data, category, session_id): 83 | """Generate caption for a single image""" 84 | headers = self._get_headers() 85 | 86 | caption_json_data = { 87 | "json": { 88 | "category": category, 89 | "imageBase64": image_data["base64Image"], 90 | "sessionId": session_id 91 | } 92 | } 93 | 94 | try: 95 | caption_response = requests.post( 96 | "https://labs.google/fx/api/trpc/backbone.generateCaption", 97 | json=caption_json_data, 98 | headers=headers, 99 | cookies=self.cookies 100 | ) 101 | caption_response.raise_for_status() 102 | 103 | result = caption_response.json() 104 | if "result" in result and "data" in result["result"] and "json" in result["result"]["data"]: 105 | return result["result"]["data"]["json"] 106 | else: 107 | print(f"Error: Unexpected response format from generateCaption API for {category}") 108 | return "" 109 | 110 | except requests.exceptions.RequestException as e: 111 | print(f"generateCaption API request error for {category}: {str(e)}") 112 | return "" 113 | 114 | def _extract_image_data(self, image_tensor, index): 115 | """Extract image data and convert to base64""" 116 | pil_image = tensor2pil(image_tensor)[0] # Convert tensor to PIL image 117 | image_bytes = self._pil_to_bytes(pil_image) 118 | base64_image = base64.b64encode(image_bytes).decode('utf-8') 119 | 120 | return { 121 | "imageId": f"image-{uuid.uuid4()}", 122 | "category": ["CHARACTER", "LOCATION", "STYLE"][index], 123 | "isPlaceholder": False, 124 | "base64Image": f"data:image/jpeg;base64,{base64_image}", 125 | "index": index, 126 | "isUploading": False, 127 | "isLoading": False, 128 | "isSelected": True, 129 | "prompt": "" 130 | } 131 | 132 | def _pil_to_bytes(self, image): 133 | """Convert PIL image to bytes""" 134 | buffered = BytesIO() 135 | image.save(buffered, format="JPEG") 136 | return buffered.getvalue() 137 | 138 | def _generate_payload(self, subject_image, scene_image, style_image, prompt, session_id, num_images): 139 | """Generate the payload based on provided input images""" 140 | payload_data = { 141 | "json": { 142 | "characters": [], 143 | "location": None, 144 | "style": None, 145 | "pose": None, 146 | "additionalInput": prompt, 147 | "sessionId": session_id, 148 | "numImages": num_images 149 | }, 150 | "meta": {} 151 | } 152 | 153 | if subject_image is not None and scene_image is not None and style_image is not None: 154 | subject_data = self._extract_image_data(subject_image, 0) 155 | subject_prompt = self._generate_caption(subject_data, "CHARACTER", session_id) 156 | subject_data["prompt"] = subject_prompt 157 | payload_data["json"]["characters"].append(subject_data) 158 | 159 | scene_data = self._extract_image_data(scene_image, 1) 160 | scene_prompt = self._generate_caption(scene_data, "LOCATION", session_id) 161 | scene_data["prompt"] = scene_prompt 162 | payload_data["json"]["location"] = scene_data 163 | 164 | style_data = self._extract_image_data(style_image, 2) 165 | style_prompt = self._generate_caption(style_data, "STYLE", session_id) 166 | style_data["prompt"] = style_prompt 167 | payload_data["json"]["style"] = style_data 168 | 169 | payload_data["meta"]["values"] = {"pose": ["undefined"]} 170 | 171 | elif subject_image is not None and scene_image is not None: 172 | subject_data = self._extract_image_data(subject_image, 0) 173 | subject_prompt = self._generate_caption(subject_data, "CHARACTER", session_id) 174 | subject_data["prompt"] = subject_prompt 175 | payload_data["json"]["characters"].append(subject_data) 176 | 177 | scene_data = self._extract_image_data(scene_image, 1) 178 | scene_prompt = self._generate_caption(scene_data, "LOCATION", session_id) 179 | scene_data["prompt"] = scene_prompt 180 | payload_data["json"]["location"] = scene_data 181 | 182 | payload_data["meta"]["values"] = {"style": ["undefined"], "pose": ["undefined"]} 183 | 184 | elif subject_image is not None and style_image is not None: 185 | subject_data = self._extract_image_data(subject_image, 0) 186 | subject_prompt = self._generate_caption(subject_data, "CHARACTER", session_id) 187 | subject_data["prompt"] = subject_prompt 188 | payload_data["json"]["characters"].append(subject_data) 189 | 190 | style_data = self._extract_image_data(style_image, 2) 191 | style_prompt = self._generate_caption(style_data, "STYLE", session_id) 192 | style_data["prompt"] = style_prompt 193 | payload_data["json"]["style"] = style_data 194 | 195 | payload_data["meta"]["values"] = {"location": ["undefined"], "pose": ["undefined"]} 196 | 197 | elif scene_image is not None and style_image is not None: 198 | scene_data = self._extract_image_data(scene_image, 1) 199 | scene_prompt = self._generate_caption(scene_data, "LOCATION", session_id) 200 | scene_data["prompt"] = scene_prompt 201 | payload_data["json"]["location"] = scene_data 202 | 203 | style_data = self._extract_image_data(style_image, 2) 204 | style_prompt = self._generate_caption(style_data, "STYLE", session_id) 205 | style_data["prompt"] = style_prompt 206 | payload_data["json"]["style"] = style_data 207 | 208 | payload_data["meta"]["values"] = {"pose": ["undefined"]} 209 | 210 | elif subject_image is not None: 211 | subject_data = self._extract_image_data(subject_image, 0) 212 | subject_prompt = self._generate_caption(subject_data, "CHARACTER", session_id) 213 | subject_data["prompt"] = subject_prompt 214 | payload_data["json"]["characters"].append(subject_data) 215 | 216 | payload_data["meta"]["values"] = {"location": ["undefined"], "style": ["undefined"], "pose": ["undefined"]} 217 | 218 | elif scene_image is not None: 219 | scene_data = self._extract_image_data(scene_image, 1) 220 | scene_prompt = self._generate_caption(scene_data, "LOCATION", session_id) 221 | scene_data["prompt"] = scene_prompt 222 | payload_data["json"]["location"] = scene_data 223 | 224 | payload_data["meta"]["values"] = {"style": ["undefined"], "pose": ["undefined"]} 225 | 226 | elif style_image is not None: 227 | style_data = self._extract_image_data(style_image, 2) 228 | style_prompt = self._generate_caption(style_data, "STYLE", session_id) 229 | style_data["prompt"] = style_prompt 230 | payload_data["json"]["style"] = style_data 231 | 232 | payload_data["meta"]["values"] = {"location": ["undefined"], "pose": ["undefined"]} 233 | 234 | return payload_data 235 | 236 | def generate_image(self, prompt, subject_image=None, scene_image=None, style_image=None, num_images=2, seed=0): 237 | pbar = comfy.utils.ProgressBar(100) 238 | session_id = f";{int(time.time() * 1000)}" 239 | 240 | payload_data = self._generate_payload(subject_image, scene_image, style_image, prompt, session_id, num_images) 241 | 242 | pbar.update_absolute(30) 243 | 244 | try: 245 | storyboard_response = requests.post( 246 | "https://labs.google/fx/api/trpc/backbone.generateStoryBoardPrompt", 247 | json=payload_data, 248 | headers=self._get_headers(), 249 | cookies=self.cookies 250 | ) 251 | storyboard_response.raise_for_status() 252 | storyboard_result = storyboard_response.json() 253 | 254 | if "result" in storyboard_result and "data" in storyboard_result["result"]: 255 | storyboard_prompt = storyboard_result["result"]["data"]["json"] 256 | else: 257 | print("Error: Unexpected response from generateStoryBoardPrompt API") 258 | storyboard_prompt = "" 259 | 260 | except requests.exceptions.RequestException as e: 261 | print(f"generateStoryBoardPrompt API request error: {str(e)}") 262 | storyboard_prompt = "" 263 | 264 | pbar.update_absolute(50) 265 | 266 | imagefx_json_data = { 267 | "userInput": { 268 | "candidatesCount": num_images, 269 | "prompts": [storyboard_prompt], 270 | "isExpandedPrompt": False, 271 | "seed": seed % 2147483647 272 | }, 273 | "clientContext": { 274 | "sessionId": session_id, 275 | "tool": "BACKBONE" 276 | }, 277 | "aspectRatio": "IMAGE_ASPECT_RATIO_LANDSCAPE", 278 | "modelInput": { 279 | "modelNameType": "IMAGEN_3_1" 280 | } 281 | } 282 | 283 | generated_images = torch.zeros((num_images, 512, 512, 3)) 284 | prompts = [] 285 | 286 | try: 287 | imagefx_response = requests.post( 288 | "https://aisandbox-pa.googleapis.com/v1:runImageFx", 289 | json=imagefx_json_data, 290 | headers=self._get_headers(), 291 | cookies=self.cookies 292 | ) 293 | imagefx_response.raise_for_status() 294 | imagefx_result = imagefx_response.json() 295 | 296 | if "imagePanels" in imagefx_result: 297 | image_panel = imagefx_result["imagePanels"][0] 298 | images = [] 299 | 300 | for img_data in image_panel["generatedImages"]: 301 | encoded_image = img_data["encodedImage"] 302 | if "," in encoded_image: 303 | encoded_image = encoded_image.split(",", 1)[1] 304 | 305 | image_bytes = base64.b64decode(encoded_image) 306 | pil_image = Image.open(BytesIO(image_bytes)) 307 | img_tensor = pil2tensor(pil_image) 308 | images.append(img_tensor) 309 | 310 | prompt = image_panel.get("prompt", "") 311 | prompts.append(prompt) 312 | 313 | if images: 314 | generated_images = torch.cat(images, dim=0) 315 | else: 316 | print("Warning: No valid images generated") 317 | else: 318 | print("Warning: No valid image panels in response") 319 | 320 | except requests.exceptions.RequestException as e: 321 | print(f"runImageFx API request error: {str(e)}") 322 | 323 | pbar.update_absolute(100) 324 | return (generated_images, 325 | payload_data['json']['characters'][0]['prompt'] if payload_data['json']['characters'] else "", 326 | payload_data['json']['location']['prompt'] if payload_data['json']['location'] else "", 327 | payload_data['json']['style']['prompt'] if payload_data['json']['style'] else "", 328 | json.dumps(prompts)) 329 | 330 | 331 | class WhiskPromptsNode: 332 | @classmethod 333 | def INPUT_TYPES(cls): 334 | return { 335 | "required": { 336 | "prompts": ("STRING", {"forceInput": True}), 337 | }, 338 | } 339 | 340 | RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING") 341 | RETURN_NAMES = ("prompt1", "prompt2", "prompt3", "prompt4") 342 | FUNCTION = "process_prompts" 343 | CATEGORY = "comfyui-labs-google" 344 | 345 | def process_prompts(self, prompts): 346 | prompts_list = json.loads(prompts) 347 | prompts_list += [""] * (4 - len(prompts_list)) 348 | return prompts_list[0], prompts_list[1], prompts_list[2], prompts_list[3] 349 | 350 | 351 | NODE_CLASS_MAPPINGS = { 352 | "ComfyUI-Whisk": WhiskNode, 353 | "ComfyUI-Whisk-Prompts": WhiskPromptsNode 354 | } 355 | 356 | NODE_DISPLAY_NAME_MAPPINGS = { 357 | "ComfyUI-Whisk": "ComfyUI-Whisk🌪️", 358 | "ComfyUI-Whisk-Prompts": "ComfyUI-Whisk-Prompts🌪️" 359 | } 360 | -------------------------------------------------------------------------------- /googel.json: -------------------------------------------------------------------------------- 1 | { 2 | "user": { 3 | "name": "", 4 | "email": "", 5 | "image": "" 6 | }, 7 | "expires": "", 8 | "access_token": "", 9 | "cookies": [ 10 | { 11 | "name": "_ga", 12 | "value": "GA1.1.206839949.1734415920" 13 | }, 14 | { 15 | "name": "EMAIL", 16 | "value": "" 17 | }, 18 | { 19 | "name": "__Secure-next-auth.session-token", 20 | "value": "" 21 | }, 22 | { 23 | "name": "__Host-next-auth.csrf-token", 24 | "value": "" 25 | } 26 | ] 27 | } -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "labs-google" 3 | description = "NODES: ComfyUI-ImageFx, ComfyUI-Whisk, ComfyUI-Whisk-Prompts" 4 | version = "1.0.0" 5 | license = {file = "LICENSE"} 6 | dependencies = ["requests", "pillow", "chardet"] 7 | 8 | [project.urls] 9 | Repository = "https://github.com/ainewsto/comfyui-labs-google" 10 | # Used by Comfy Registry https://comfyregistry.org 11 | 12 | [tool.comfy] 13 | PublisherId = "ainewsto" 14 | DisplayName = "comfyui-labs-google" 15 | Icon = "" 16 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | requests 2 | pillow 3 | chardet 4 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | from PIL import Image 4 | from typing import List, Union 5 | 6 | def pil2tensor(image: Union[Image.Image, List[Image.Image]]) -> torch.Tensor: 7 | """ 8 | Convert PIL image(s) to tensor, matching ComfyUI's implementation. 9 | 10 | Args: 11 | image: Single PIL Image or list of PIL Images 12 | 13 | Returns: 14 | torch.Tensor: Image tensor with values normalized to [0, 1] 15 | """ 16 | if isinstance(image, list): 17 | if len(image) == 0: 18 | return torch.empty(0) 19 | return torch.cat([pil2tensor(img) for img in image], dim=0) 20 | 21 | # Convert PIL image to RGB if needed 22 | if image.mode == 'RGBA': 23 | image = image.convert('RGB') 24 | elif image.mode != 'RGB': 25 | image = image.convert('RGB') 26 | 27 | # Convert to numpy array and normalize to [0, 1] 28 | img_array = np.array(image).astype(np.float32) / 255.0 29 | 30 | # Return tensor with shape [1, H, W, 3] 31 | return torch.from_numpy(img_array)[None,] 32 | 33 | def tensor2pil(image: torch.Tensor) -> List[Image.Image]: 34 | """ 35 | Convert tensor to PIL image(s), matching ComfyUI's implementation. 36 | 37 | Args: 38 | image: Tensor with shape [B, H, W, 3] or [H, W, 3], values in range [0, 1] 39 | 40 | Returns: 41 | List[Image.Image]: List of PIL Images 42 | """ 43 | batch_count = image.size(0) if len(image.shape) > 3 else 1 44 | if batch_count > 1: 45 | out = [] 46 | for i in range(batch_count): 47 | out.extend(tensor2pil(image[i])) 48 | return out 49 | 50 | # Convert tensor to numpy array, scale to [0, 255], and clip values 51 | numpy_image = np.clip(255.0 * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8) 52 | 53 | # Convert numpy array to PIL Image 54 | return [Image.fromarray(numpy_image)] -------------------------------------------------------------------------------- /workflows/ComfyUI-ImageFx.json: -------------------------------------------------------------------------------- 1 | { 2 | "last_node_id": 14, 3 | "last_link_id": 11, 4 | "nodes": [ 5 | { 6 | "id": 12, 7 | "type": "ComfyUI-ImageFx", 8 | "pos": [ 9 | 480.75103759765625, 10 | 13.325160026550293 11 | ], 12 | "size": [ 13 | 409.5832214355469, 14 | 310.7392272949219 15 | ], 16 | "flags": {}, 17 | "order": 0, 18 | "mode": 0, 19 | "inputs": [], 20 | "outputs": [ 21 | { 22 | "name": "generated_images", 23 | "type": "IMAGE", 24 | "links": [ 25 | 10 26 | ], 27 | "slot_index": 0 28 | }, 29 | { 30 | "name": "seed", 31 | "type": "STRING", 32 | "links": [ 33 | 11 34 | ], 35 | "slot_index": 1 36 | } 37 | ], 38 | "properties": { 39 | "Node name for S&R": "ComfyUI-ImageFx" 40 | }, 41 | "widgets_values": [ 42 | "A CHUBBY REAL BLACK CAT WEARING A SAILOR MOON COSTUME SKIING ON A DESERTED SNOW MOUNTAIN", 43 | 84691, 44 | "randomize", 45 | "1:1 (Square)", 46 | 4 47 | ] 48 | }, 49 | { 50 | "id": 14, 51 | "type": "ShowText|pysssss", 52 | "pos": [ 53 | 486.9401550292969, 54 | 424.43902587890625 55 | ], 56 | "size": [ 57 | 406.17877197265625, 58 | 77.33100128173828 59 | ], 60 | "flags": {}, 61 | "order": 2, 62 | "mode": 0, 63 | "inputs": [ 64 | { 65 | "name": "text", 66 | "type": "STRING", 67 | "link": 11, 68 | "widget": { 69 | "name": "text" 70 | } 71 | } 72 | ], 73 | "outputs": [ 74 | { 75 | "name": "STRING", 76 | "type": "STRING", 77 | "links": null, 78 | "shape": 6 79 | } 80 | ], 81 | "properties": { 82 | "Node name for S&R": "ShowText|pysssss" 83 | }, 84 | "widgets_values": [ 85 | "", 86 | "765655" 87 | ] 88 | }, 89 | { 90 | "id": 13, 91 | "type": "PreviewImage", 92 | "pos": [ 93 | 963.2437133789062, 94 | -146.41323852539062 95 | ], 96 | "size": [ 97 | 866.6326904296875, 98 | 897.4074096679688 99 | ], 100 | "flags": {}, 101 | "order": 1, 102 | "mode": 0, 103 | "inputs": [ 104 | { 105 | "name": "images", 106 | "type": "IMAGE", 107 | "link": 10 108 | } 109 | ], 110 | "outputs": [], 111 | "properties": { 112 | "Node name for S&R": "PreviewImage" 113 | }, 114 | "widgets_values": [] 115 | } 116 | ], 117 | "links": [ 118 | [ 119 | 10, 120 | 12, 121 | 0, 122 | 13, 123 | 0, 124 | "IMAGE" 125 | ], 126 | [ 127 | 11, 128 | 12, 129 | 1, 130 | 14, 131 | 0, 132 | "STRING" 133 | ] 134 | ], 135 | "groups": [], 136 | "config": {}, 137 | "extra": { 138 | "ds": { 139 | "scale": 0.6830134553650707, 140 | "offset": [ 141 | -190.9710638625151, 142 | 333.1789510131922 143 | ] 144 | } 145 | }, 146 | "version": 0.4 147 | } -------------------------------------------------------------------------------- /workflows/ComfyUI-Whisk&ImageFx.json: -------------------------------------------------------------------------------- 1 | { 2 | "last_node_id": 35, 3 | "last_link_id": 58, 4 | "nodes": [ 5 | { 6 | "id": 4, 7 | "type": "LoadImage", 8 | "pos": [ 9 | -17.200326919555664, 10 | 847.0335083007812 11 | ], 12 | "size": [ 13 | 322.08624267578125, 14 | 326.40093994140625 15 | ], 16 | "flags": {}, 17 | "order": 0, 18 | "mode": 0, 19 | "inputs": [], 20 | "outputs": [ 21 | { 22 | "name": "IMAGE", 23 | "type": "IMAGE", 24 | "links": [ 25 | 53 26 | ] 27 | }, 28 | { 29 | "name": "MASK", 30 | "type": "MASK", 31 | "links": null 32 | } 33 | ], 34 | "properties": { 35 | "Node name for S&R": "LoadImage" 36 | }, 37 | "widgets_values": [ 38 | "74304fd80d0b5339469565ed5c0bbd5.jpg", 39 | "image" 40 | ] 41 | }, 42 | { 43 | "id": 8, 44 | "type": "ShowText|pysssss", 45 | "pos": [ 46 | 399.55047607421875, 47 | 957.962890625 48 | ], 49 | "size": [ 50 | 404.6029052734375, 51 | 208.39244079589844 52 | ], 53 | "flags": {}, 54 | "order": 7, 55 | "mode": 0, 56 | "inputs": [ 57 | { 58 | "name": "text", 59 | "type": "STRING", 60 | "link": 57, 61 | "widget": { 62 | "name": "text" 63 | } 64 | } 65 | ], 66 | "outputs": [ 67 | { 68 | "name": "STRING", 69 | "type": "STRING", 70 | "links": null, 71 | "shape": 6 72 | } 73 | ], 74 | "properties": { 75 | "Node name for S&R": "ShowText|pysssss" 76 | }, 77 | "widgets_values": [ 78 | "", 79 | "A close-up shot with a focus on a subject in the center. The image uses a stylized, almost hyperrealistic rendering technique. The color palette is dominated by warm, glowing oranges and reds, with a strong contrast between light and shadow. The lighting is dramatic, with a strong light source seemingly emanating from behind the subject, creating a rim light effect and highlighting the texture. The overall aesthetic is playful yet slightly sinister, with a focus on creating a sense of depth and vibrancy. The image has a slightly desaturated look, with a focus on warm tones. The texture is soft and plush, giving a sense of depth and realism.\n" 80 | ] 81 | }, 82 | { 83 | "id": 7, 84 | "type": "ShowText|pysssss", 85 | "pos": [ 86 | 397.2067565917969, 87 | 610.9234619140625 88 | ], 89 | "size": [ 90 | 414.1781921386719, 91 | 284.1037902832031 92 | ], 93 | "flags": {}, 94 | "order": 6, 95 | "mode": 0, 96 | "inputs": [ 97 | { 98 | "name": "text", 99 | "type": "STRING", 100 | "link": 56, 101 | "widget": { 102 | "name": "text" 103 | } 104 | } 105 | ], 106 | "outputs": [ 107 | { 108 | "name": "STRING", 109 | "type": "STRING", 110 | "links": null, 111 | "shape": 6 112 | } 113 | ], 114 | "properties": { 115 | "Node name for S&R": "ShowText|pysssss" 116 | }, 117 | "widgets_values": [ 118 | "", 119 | "A large digital billboard displaying the words \"The ainewsto\" in a sans-serif font on a reddish-orange background hangs from a rocky overhang. Below it, a gray-brown sectional sofa sits on a reddish-brown sandy surface. A person with light skin tone and short, light-colored hair sits on the sofa, wearing a light-colored outfit. Another person, also with light skin tone, is partially visible behind them.\n\nFurther away, another gray-brown sectional sofa is visible. Three people are seated on it. One person appears to be a woman with dark hair and medium skin tone, wearing a light-colored top. Another person appears to be a woman with dark hair and medium skin tone, wearing a dark-colored top. The third person appears to be a man with dark hair and medium skin tone.\n\nIn the background, a large, metallic spacecraft hovers in the air, kicking up dust. The setting appears to be a desert landscape with reddish-brown sand and rocky formations. The sky is clear and light blue. The overall lighting suggests it is daytime. The scene is rendered in a photorealistic style.\n" 120 | ] 121 | }, 122 | { 123 | "id": 6, 124 | "type": "ShowText|pysssss", 125 | "pos": [ 126 | 400.6974182128906, 127 | 383.5249328613281 128 | ], 129 | "size": [ 130 | 404.3658142089844, 131 | 153.22216796875 132 | ], 133 | "flags": {}, 134 | "order": 5, 135 | "mode": 0, 136 | "inputs": [ 137 | { 138 | "name": "text", 139 | "type": "STRING", 140 | "link": 55, 141 | "widget": { 142 | "name": "text" 143 | } 144 | } 145 | ], 146 | "outputs": [ 147 | { 148 | "name": "STRING", 149 | "type": "STRING", 150 | "links": null, 151 | "shape": 6 152 | } 153 | ], 154 | "properties": { 155 | "Node name for S&R": "ShowText|pysssss" 156 | }, 157 | "widgets_values": [ 158 | "", 159 | "A stylized illustration depicts a large, white rubber ducky floating on a body of water at night. A black cat, wearing an orange baseball cap with the word \"LEO\" in white lettering, sits atop the duck. The cat has bright green eyes. The water is a dark teal, with small ripples and highlights suggesting movement. The background is a deep blue night sky. The duck and cat are brightly lit, creating a contrast with the darker background and water. 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