Create app.py

app.py

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+import torch
+from diffusers import StableDiffusionPipeline
+import gradio as gr
+
+# Load the Stable Diffusion model (text-to-image generator)
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.to("cuda")  # If you have a GPU, use it to speed up generation
+
+# Function to generate images from text prompts
+def generate_image(prompt):
+    # Generate image based on the prompt
+    image = pipe(prompt).images[0]
+    return image
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=generate_image,  # Function to run
+    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt..."),  # Text input for prompts
+    outputs=gr.Image(),  # Display the generated image
+    title="Text-to-Image Generator",
+    description="Enter a text prompt to generate an image using Stable Diffusion."
+)
+
+# Launch the Gradio interface
+iface.launch()