cv_diffusion_text-to-image-synthesis_tiny

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akhaliq HF staff

Update app.py

16c4217 about 1 year ago

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	import os
	os.system("pip install git+https://github.com/modelscope/modelscope.git@refs/pull/173/head")
	import gradio as gr
	import cv2
	from modelscope.pipelines import pipeline
	from modelscope.utils.constant import Tasks

	text2image = pipeline(Tasks.text_to_image_synthesis,"damo/cv_diffusion_text-to-image-synthesis_tiny")

	def inference(text):

	result = text2image({'text': '中国山水画', "sampler": "ddim"})
	cv2.imwrite("result.png", result["output_imgs"][0])

	return "result.png"



	title = "Text to Image Generative Diffusion Model - Chinese and English - General Domain - tiny"

	gr.Interface(inference, "text","image", title=title).launch()