Update app.py
Browse files
app.py
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@@ -33,6 +33,10 @@ import datetime
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import cyper
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from PIL import Image
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hftoken = os.getenv("HF_AUTH_TOKEN")
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code = r'''
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@@ -90,7 +94,9 @@ text_encoder_3=T5EncoderModel.from_pretrained("ford442/stable-diffusion-3.5-larg
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ll_transformer=SD3Transformer2DModel.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='transformer',token=True).to(torch.device("cuda:0"), dtype=torch.bfloat16)
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pipe.transformer=ll_transformer.eval()
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
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upscaler_2 = UpscaleWithModel.from_pretrained("Kim2091/ClearRealityV1").to(torch.device('cpu'))
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import cyper
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from PIL import Image
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from accelerate import Accelerator
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accelerator = Accelerator(mixed_precision="bf16")
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hftoken = os.getenv("HF_AUTH_TOKEN")
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code = r'''
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ll_transformer=SD3Transformer2DModel.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", subfolder='transformer',token=True).to(torch.device("cuda:0"), dtype=torch.bfloat16)
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pipe.transformer=ll_transformer.eval()
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pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/UltraReal.safetensors")
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pipe.to(accelerator.device)
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#pipe.to(device=device, dtype=torch.bfloat16)
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upscaler_2 = UpscaleWithModel.from_pretrained("Kim2091/ClearRealityV1").to(torch.device('cpu'))
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