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Rename app.py to _app.py
Browse files- app.py β _app.py +15 -1
app.py β _app.py
RENAMED
@@ -5,6 +5,16 @@ import torch
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import gradio as gr
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from diffusers import StableDiffusionPipeline
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import paramiko
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# Konfiguration
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STORAGE_DOMAIN = os.getenv('STORAGE_DOMAIN', '').strip() # SFTP Server Domain
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@@ -16,7 +26,11 @@ STORAGE_SECRET = os.getenv('STORAGE_SECRET', '').strip() # Secret Token
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# Modell laden
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device = "cuda" if torch.cuda.is_available() else "cpu"
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repo = "stabilityai/stable-diffusion-3-medium-diffusers"
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# Maximalwerte
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MAX_SEED = np.iinfo(np.int32).max
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import gradio as gr
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from diffusers import StableDiffusionPipeline
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import paramiko
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from huggingface_hub import login
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# Hugging Face Token
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HF_TOKEN = os.getenv('HUGGING_FACE_HUB_TOKEN', '').strip()
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if not HF_TOKEN:
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raise ValueError("HUGGING_FACE_HUB_TOKEN is not set. Please set the token as an environment variable.")
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# Hugging Face Login
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login(token=HF_TOKEN)
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# Konfiguration
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STORAGE_DOMAIN = os.getenv('STORAGE_DOMAIN', '').strip() # SFTP Server Domain
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# Modell laden
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device = "cuda" if torch.cuda.is_available() else "cpu"
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repo = "stabilityai/stable-diffusion-3-medium-diffusers"
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try:
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pipe = StableDiffusionPipeline.from_pretrained(repo, torch_dtype=torch.float16).to(device)
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except Exception as e:
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raise RuntimeError(f"Failed to load the model. Ensure the token has access to the repo. Error: {e}")
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# Maximalwerte
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MAX_SEED = np.iinfo(np.int32).max
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