Create app.py

app.py

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+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()