Update app.py
Browse files
app.py
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@@ -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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#"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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###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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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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