Create app.py

app.py

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+import gradio as gr
+from diffusers import AutoPipelineForText2Image
+import torch
+
+# Load the SDXL-Turbo model
+pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
+pipe.to("cuda")
+
+# Define the image generation function
+def generate_image(prompt, steps, guidance):
+    image = pipe(prompt=prompt, num_inference_steps=steps, guidance_scale=guidance).images[0]
+    return image
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=[
+        gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here...", label="Prompt"),
+        gr.inputs.Slider(minimum=1, maximum=50, default=10, step=1, label="Inference Steps"),
+        gr.inputs.Slider(minimum=0.0, maximum=20.0, default=8.0, step=0.5, label="Guidance Scale")
+    ],
+    outputs=gr.outputs.Image(type="pil", label="Generated Image"),
+    title="SDXL-Turbo Image Generator",
+    description="Generate images based on text prompts using the SDXL-Turbo model."
+)
+
+# Launch the interface
+iface.launch()