inital deployment1

app.py

@@ -10,9 +10,8 @@ from PIL import Image
 device = "cuda" if torch.cuda.is_available() else "cpu"
 ##realtime_pipe = StableDiffusionPipeline.from_pretrained("radames/Real-Time-Latent-Consistency-Model").to(device)
 
-
 # Load the model (optimized for inference)
-model_id = "runwayml/stable-diffusion-v1-5"
+model_id = "https://huggingface.co/spaces/radames/Real-Time-Latent-Consistency-Model"
 
 
 realtime_pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
@@ -53,4 +52,4 @@ with gr.Blocks() as demo:
     prompt_input = gr.Textbox(label="Real-Time Latent Consistency Model Prompt", value="A futuristic landscape")
     webcam_feed.change(fn=video_stream, inputs=[prompt_input], outputs=[processed_image, canvas])
 
-demo.launch(share=True)
+demo.launch()