inital deployment

app.py

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+import torch
+import gradio as gr
+from diffusers import StableDiffusionPipeline, LCMScheduler
+
+# Load the pre-trained Real-Time LCM model
+model_id = "SimianLuo/LCM_Dreamshaper_v7"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
+pipe.to("cuda")
+
+# Function to generate images
+def generate_image(prompt: str):
+    image = pipe(prompt, num_inference_steps=4).images[0]
+    return image
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter a prompt"),
+    outputs=gr.Image(label="Generated Image"),
+    title="Real-Time LCM Image Generator",
+    description="Enter a prompt and get an AI-generated image in real time using Latent Consistency Models."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+torch
+diffusers
+transformers
+accelerate
+gradio
+safetensors
+xformers
+torchvision