MaxKB/apps/models_provider/impl/regolo_model_provider/model/tti.py

60 lines
1.9 KiB
Python

from typing import Dict
from openai import OpenAI
from common.config.tokenizer_manage_config import TokenizerManage
from models_provider.base_model_provider import MaxKBBaseModel
from models_provider.impl.base_tti import BaseTextToImage
def custom_get_token_ids(text: str):
tokenizer = TokenizerManage.get_tokenizer()
return tokenizer.encode(text)
class RegoloTextToImage(MaxKBBaseModel, BaseTextToImage):
api_base: str
api_key: str
model: str
params: dict
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.api_key = kwargs.get('api_key')
self.api_base = "https://api.regolo.ai/v1"
self.model = kwargs.get('model')
self.params = kwargs.get('params')
@staticmethod
def is_cache_model():
return False
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
optional_params = {'params': {'size': '1024x1024', 'quality': 'standard', 'n': 1}}
for key, value in model_kwargs.items():
if key not in ['model_id', 'use_local', 'streaming']:
optional_params['params'][key] = value
return RegoloTextToImage(
model=model_name,
api_base="https://api.regolo.ai/v1",
api_key=model_credential.get('api_key'),
**optional_params,
)
def check_auth(self):
chat = OpenAI(api_key=self.api_key, base_url=self.api_base)
response_list = chat.models.with_raw_response.list()
# self.generate_image('生成一个小猫图片')
def generate_image(self, prompt: str, negative_prompt: str = None):
chat = OpenAI(api_key=self.api_key, base_url=self.api_base)
res = chat.images.generate(model=self.model, prompt=prompt, **self.params)
file_urls = []
for content in res.data:
url = content.url
file_urls.append(url)
return file_urls