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feat: add model
Browse files- app.py +13 -3
- stable_diffusion_inference.py +19 -0
app.py
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@Project : Faice_text2face
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"""
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import gradio as gr
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def greet(name):
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demo.launch()
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@Project : Faice_text2face
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"""
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import gradio as gr
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from stable_diffusion_inference import inference
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# def greet(name):
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# return "Hello " + name + "!!"
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#
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#
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# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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def text2face(prompt):
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image = inference(prompt)
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return image
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demo = gr.Interface(fn=text2face, inputs="text", outputs="image")
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demo.launch()
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stable_diffusion_inference.py
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# -*- coding: UTF-8 -*-
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"""
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@Time : 28/05/2025 11:56
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@Author : xiaoguangliang
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@File : stable_diffusion_inference.py
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@Project : Faice_text2face
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"""
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import torch
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from diffusers import StableDiffusionPipeline
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model_path = 'Ngene787/Faice_text2face'
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def inference(prompt):
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pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
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# pipe = pipe.to("cuda")
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image = pipe(prompt).images[0]
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return image
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