1inkusFace commited on
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d8ab2f5
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1 Parent(s): 22371d1

Update app.py

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  1. app.py +8 -1
app.py CHANGED
@@ -76,7 +76,14 @@ def upload_to_ftp(filename):
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  #vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", use_safetensors=True, subfolder='vae',token=True)
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  #vaeX=AutoencoderKL.from_pretrained("ford442/stable-diffusion-3.5-large-fp32", safety_checker=None, use_safetensors=True, subfolder='vae', low_cpu_mem_usage=False, torch_dtype=torch.float32, token=True)
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- pipe = StableDiffusion3Pipeline.from_pretrained(
 
 
 
 
 
 
 
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  #"stabilityai # stable-diffusion-3.5-large",
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  #"ford442/stable-diffusion-3.5-large-bf16",
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  "ford442/stable-diffusion-3.5-large-fp32",
 
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  device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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  #vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", use_safetensors=True, subfolder='vae',token=True)
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  #vaeX=AutoencoderKL.from_pretrained("ford442/stable-diffusion-3.5-large-fp32", safety_checker=None, use_safetensors=True, subfolder='vae', low_cpu_mem_usage=False, torch_dtype=torch.float32, token=True)
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+
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+ ###pipe = StableDiffusion3Pipeline.from_single_file(
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+ ###"1inkus/sd35-large-UltraReal-bf16-DDUF",
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+ ###tokenizer_3=T5TokenizerFast.from_pretrained("ford442/stable-diffusion-3.5-large-bf16", add_prefix_space=False, use_fast=True, subfolder="tokenizer_3", token=True),
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+ ###use_safetensors=True,
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+ ###)
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+
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+ pipe = StableDiffusion3Pipeline.from_pretrained(
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  #"stabilityai # stable-diffusion-3.5-large",
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  #"ford442/stable-diffusion-3.5-large-bf16",
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  "ford442/stable-diffusion-3.5-large-fp32",