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Update app.py
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app.py
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@@ -1,8 +1,5 @@
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import gradio as gr
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import torch
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from gradio_client import Client
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
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if torch.cuda.is_available(): pipe.to("cuda")
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client = Client("stabilityai/triposr")
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sdxl = Client("hysts/SD-XL")
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import gradio as gr
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from gradio_client import Client
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client = Client("stabilityai/triposr")
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sdxl = Client("hysts/SD-XL")
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