Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load your fine-tuned model from Hugging Face
+model_id = "your-username/stable-diffusion-finetuned"  # Replace with your model ID on HF
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe.to("cuda")
+
+# Define the function for text-to-image generation
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter your prompt"),
+    outputs=gr.Image(label="Generated Image"),
+)
+
+# Launch the interface
+interface.launch()