app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load model
model_id = "openfree/winslow-homer"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.to("cuda")

# Inference function
def generate_image(prompt):
    image = pipe(prompt).images[0]
    return image

# Gradio interface
interface = gr.Interface(fn=generate_image, 
                         inputs=gr.Textbox(label="Enter your prompt"), 
                         outputs=gr.Image(type="pil"),
                         title="Text to Image Generator",
                         description="Generate images from your text prompts using Stable Diffusion.")

interface.launch()