Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the Stable Diffusion model from Hugging Face's diffusers library
+pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4-original", torch_dtype=torch.float16)
+pipe.to("cuda")
+
+def generate_image(prompt):
+    # Generate the image based on the text prompt
+    image = pipe(prompt).images[0]
+    return image
+
+# Create Gradio interface
+interface = gr.Interface(fn=generate_image,
+                         inputs="text",
+                         outputs="image",
+                         title="Text to Image Generator",
+                         description="Generate images from text using Stable Diffusion.")
+
+interface.launch()