app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the Realistic Vision V6.0 model from Hugging Face
model_id = "SG161222/Realistic_Vision_V6.0_B1_noVAE"

pipe = StableDiffusionPipeline.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    revision="fp16",
    use_auth_token=True  # You may need to generate a HF token and add it here
).to("cuda" if torch.cuda.is_available() else "cpu")

def generate_image(prompt):
    image = pipe(prompt, guidance_scale=7.5).images[0]
    return image

title = "Realistic Indian Man Image Generator"
description = "Generate realistic images using Realistic Vision V6.0 model. Try prompts like 'realistic portrait of Indian man, 25 years old'."

demo = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=gr.Image(type="pil"),
    title=title,
    description=description,
    theme="default"
)

demo.launch()