app.py

import gradio as gr
from diffusers import AutoPipelineForText2Image
import torch

# Load the sd-turbo model
pipe = AutoPipelineForText2Image.from_pretrained(
    "stabilityai/sd-turbo",
    torch_dtype=torch.float32  # Use float32 for CPU (or float16 for GPU)
).to("cuda" if torch.cuda.is_available() else "cpu")

# Warm-up to reduce first-time delay (optional)
pipe("a test prompt")

# Gradio interface (simple)
def generate_image(prompt):
    image = pipe(prompt).images[0]
    return image

# Use only launch() here (no enable_queue)
iface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    title="Text-to-Image with SD-Turbo",
    description="Fast free text-to-image generation using stabilityai/sd-turbo"
)

iface.launch()