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Add custom nodes, Civitai loras (LFS), and vast.ai setup script
Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 00:56:42 +00:00

52 lines
1.7 KiB
Python

import json
import os
import yaml
import requests
import pathlib
from aiohttp import web
root_path = pathlib.Path(__file__).parent.parent.parent.parent
config_path = os.path.join(root_path,'config.yaml')
class FluxAIAPI:
def __init__(self):
self.api_url = "https://fluxaiimagegenerator.com/api"
self.origin = "https://fluxaiimagegenerator.com"
self.user_agent = None
self.cookie = None
def promptGenerate(self, text, cookies=None):
cookie = self.cookie if cookies is None else cookies
if cookie is None:
if os.path.isfile(config_path):
with open(config_path, 'r') as f:
data = yaml.load(f, Loader=yaml.FullLoader)
if 'FLUXAI_COOKIE' not in data:
raise Exception("Please add FLUXAI_COOKIE to config.yaml")
if "FLUXAI_USER_AGENT" in data:
self.user_agent = data["FLUXAI_USER_AGENT"]
self.cookie = cookie = data['FLUXAI_COOKIE']
headers = {
"Cookie": cookie,
"Referer": "https://fluxaiimagegenerator.com/flux-prompt-generator",
"Origin": self.origin,
"Content-Type": "application/json",
}
if self.user_agent is not None:
headers['User-Agent'] = self.user_agent
url = self.api_url + '/prompt'
json = {
"prompt": text
}
response = requests.post(url, json=json, headers=headers)
res = response.json()
if "error" in res:
return res['error']
elif "data" in res and "prompt" in res['data']:
return res['data']['prompt']
fluxaiAPI = FluxAIAPI()