Update app.py
Browse files
app.py
CHANGED
@@ -54,7 +54,7 @@ def upload_to_ftp(filename):
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print(f"FTP upload error: {e}")
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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torch_dtype = torch.bfloat16
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checkpoint = "microsoft/Phi-3.5-mini-instruct"
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#vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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@@ -71,7 +71,7 @@ pipe = StableDiffusion3Pipeline.from_pretrained("ford442/RealVis_Medium_1.0b_bf1
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#pipe.scheduler.config.requires_aesthetics_score = False
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#pipe.enable_model_cpu_offload()
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#pipe.to(device=device, dtype=torch.bfloat16)
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#pipe = torch.compile(pipe)
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# pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
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@@ -139,7 +139,7 @@ def infer(
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#upscaler_2.to(torch.device('cpu'))
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torch.set_float32_matmul_precision("highest")
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device='
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if expanded:
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system_prompt_rewrite = (
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"You are an AI assistant that rewrites image prompts to be more descriptive and detailed."
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print(f"FTP upload error: {e}")
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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#torch_dtype = torch.bfloat16
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checkpoint = "microsoft/Phi-3.5-mini-instruct"
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#vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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#pipe.scheduler.config.requires_aesthetics_score = False
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#pipe.enable_model_cpu_offload()
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pipe.to(device)
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#pipe.to(device=device, dtype=torch.bfloat16)
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#pipe = torch.compile(pipe)
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# pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear")
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#upscaler_2.to(torch.device('cpu'))
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torch.set_float32_matmul_precision("highest")
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device='cpu').manual_seed(seed)
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if expanded:
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system_prompt_rewrite = (
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"You are an AI assistant that rewrites image prompts to be more descriptive and detailed."
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