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Add application file
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app.py
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import gradio as gr
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import spaces
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import torch
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from diffusers import StableDiffusionXLPipeline,DiffusionPipeline,AutoPipelineForText2Image, DEISMultistepScheduler
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pipe = AutoPipelineForText2Image.from_pretrained('Lykon/AAM_XL_AnimeMix', torch_dtype=torch.float16, variant="fp16")
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pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config)
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@spaces.GPU
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def predict(prompt):
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return pipe(prompt, num_inference_steps=25).images[0]
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demo = gr.Interface(
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fn=predict,
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inputs='text',
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outputs= 'image',
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)
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demo.launch()
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