✨ NovelAI api python sdk with Pydantic, modern and user-friendly.
The goal of this repository is to use Pydantic to build legitimate requests to access the NovelAI API service.
Python >= 3.9 is required.
- tool.random_prompt
- tool.paint_mask
- tool.image_metadata
- /ai/generate-image
- /user/subscription
- /user/login
- /user/information
- /ai/upscale
- /ai/generate-image/suggest-tags
- /ai/generate-voice
- /ai/generate-stream
- /ai/generate
- /ai/annotate-image
- /ai/classify
- /ai/generate-prompt
GenerateImageInfer.calculate_cost is correct in most cases, but please request account information to get accurate consumption information.
This repo is maintained by me personally now. If you have any questions, please feel free to open an issue.
pip install novelai-pythonMore examples can be found in the playground directory, read code as documentation.
import asyncio
import os
from dotenv import load_dotenv
from pydantic import SecretStr
from novelai_python import GenerateImageInfer, ImageGenerateResp, ApiCredential
load_dotenv()
enhance = "year 2023,dynamic angle, best quality, amazing quality, very aesthetic, absurdres"
session = ApiCredential(api_token=SecretStr(os.getenv("NOVELAI_JWT"))) # pst-***
async def main():
gen = await GenerateImageInfer.build(prompt=f"1girl,{enhance}")
cost = gen.calculate_cost(is_opus=True)
print(f"charge: {cost} if you are vip3")
resp = gen.request(session=session)
resp: ImageGenerateResp
print(resp.meta)
file = resp.files[0]
with open(file[0], "wb") as f:
f.write(file[1])
loop = asyncio.get_event_loop()
loop.run_until_complete(main())import asyncio
import os
from dotenv import load_dotenv
from pydantic import SecretStr
from novelai_python import APIError, LoginCredential
from novelai_python.sdk.ai.generate import TextLLMModel, LLM
load_dotenv()
username = os.getenv("NOVELAI_USER", None)
assert username is not None
# credential = JwtCredential(jwt_token=SecretStr(jwt))
login_credential = LoginCredential(
username=os.getenv("NOVELAI_USER"),
password=SecretStr(os.getenv("NOVELAI_PASS"))
)
async def chat(prompt: str):
try:
agent = LLM.build(prompt=prompt, model=TextLLMModel.Kayra)
result = await agent.request(session=login_credential)
except APIError as e:
raise Exception(f"Error: {e.message}")
print(f"Result: \n{result.text}")
loop = asyncio.get_event_loop()
loop.run_until_complete(chat("Hello"))from novelai_python.tool.random_prompt import RandomPromptGenerator
prompt = RandomPromptGenerator(nsfw_enabled=False).random_prompt()
print(prompt)pip install novelai_python
python3 -m novelai_python.server -h '127.0.0.1' -p 7888
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