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Update app.py
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app.py
CHANGED
@@ -107,7 +107,8 @@ def load_and_prepare_model(model_id):
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#pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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pipe = StableDiffusionXLPipeline.from_pretrained(
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'ford442/RealVisXL_V5.0_BF16',
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#'ford442/Juggernaut-XI-v11-fp32',
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# 'SG161222/RealVisXL_V5.0',
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#torch_dtype=torch.bfloat16,
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@@ -215,7 +216,7 @@ def uploadNote(prompt,num_inference_steps,guidance_scale,timestamp):
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f.write(f"Use Model Dtype: no \n")
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f.write(f"Model Scheduler: Euler_a all_custom before cuda \n")
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f.write(f"Model VAE: sdxl-vae-bf16 before cuda then attn_proc / scale factor 8 \n")
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f.write(f"Model UNET:
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f.write(f"Model HiDiffusion OFF \n")
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f.write(f"Model do_resize ON \n")
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f.write(f"added torch to prereq and changed accellerate \n")
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#pipeX = StableDiffusionXLPipeline.from_pretrained("ford442/Juggernaut-XI-v11-fp32",use_safetensors=True)
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pipe = StableDiffusionXLPipeline.from_pretrained(
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#'ford442/RealVisXL_V5.0_BF16',
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'John6666/pornworks-sexy-beauty-v04-sdxl',
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#'ford442/Juggernaut-XI-v11-fp32',
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# 'SG161222/RealVisXL_V5.0',
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#torch_dtype=torch.bfloat16,
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f.write(f"Use Model Dtype: no \n")
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f.write(f"Model Scheduler: Euler_a all_custom before cuda \n")
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f.write(f"Model VAE: sdxl-vae-bf16 before cuda then attn_proc / scale factor 8 \n")
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f.write(f"Model UNET: sexy_beauty model \n")
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f.write(f"Model HiDiffusion OFF \n")
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f.write(f"Model do_resize ON \n")
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f.write(f"added torch to prereq and changed accellerate \n")
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