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Update app.py
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app.py
CHANGED
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@@ -13,18 +13,19 @@ class StableBuddyApp:
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def __init__(self):
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# Set up the Stable Diffusion pipeline
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model_id = "CompVis/stable-diffusion-v1-4"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Get the auth_token from the environment variable
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auth_token = os.getenv("AUTH_TOKEN")
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if not auth_token:
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raise ValueError("AUTH_TOKEN environment variable is not set.")
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# Use float16
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self.pipe = StableDiffusionPipeline.from_pretrained(
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model_id, revision='fp16', torch_dtype=
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)
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self.pipe.to(device)
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def generate_image(self, prompt):
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"""Generate an image based on the prompt."""
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@@ -44,7 +45,8 @@ class StableBuddyApp:
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except Exception as e:
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print(f"An error occurred: {e}")
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return None
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# Create an instance of the StableBuddyApp
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stable_buddy_app = StableBuddyApp()
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def __init__(self):
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# Set up the Stable Diffusion pipeline
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model_id = "CompVis/stable-diffusion-v1-4"
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self.device = "cuda" if torch.cuda.is_available() else "cpu" # Store device as a class attribute
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# Get the auth_token from the environment variable
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auth_token = os.getenv("AUTH_TOKEN")
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if not auth_token:
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raise ValueError("AUTH_TOKEN environment variable is not set.")
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# Use float16 for GPU and float32 for CPU to manage VRAM
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torch_dtype = torch.float16 if self.device == "cuda" else torch.float32
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self.pipe = StableDiffusionPipeline.from_pretrained(
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model_id, revision='fp16', torch_dtype=torch_dtype, use_auth_token=auth_token
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)
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self.pipe.to(self.device)
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def generate_image(self, prompt):
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"""Generate an image based on the prompt."""
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except Exception as e:
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print(f"An error occurred: {e}")
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return None
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# Create an instance of the StableBuddyApp
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stable_buddy_app = StableBuddyApp()
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