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from __future__ import annotations | |
from gradio_client.client import Job | |
from gradio_tools.tools.gradio_tool import GradioTool | |
class StableDiffusionPromptGeneratorTool(GradioTool): | |
def __init__( | |
self, | |
name="StableDiffusionPromptGenerator", | |
description=( | |
"Use this tool to improve a prompt for stable diffusion and other image and video generators. " | |
"This tool will refine your prompt to include key words and phrases that make " | |
"stable diffusion and other art generation algorithms perform better. The input is a prompt text string " | |
"and the output is a prompt text string" | |
), | |
src="microsoft/Promptist", | |
hf_token=None, | |
duplicate=False, | |
) -> None: | |
super().__init__(name, description, src, hf_token, duplicate) | |
def create_job(self, query: str) -> Job: | |
return self.client.submit(query, api_name="/predict") | |
def postprocess(self, output: str) -> str: | |
return output | |