app.py

import gradio as gr
from diffusers import DiffusionPipeline

# Load the pipeline
pipeline = DiffusionPipeline.from_pretrained("John6666/t-ponynai3-v6-sdxl")

def generate_image(prompt, negative_prompt):
    # Generate image using the pipeline with both prompt and negative prompt
    image = pipeline(prompt, negative_prompt=negative_prompt).images[0]
    return image

# Create Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# ponynai3 v6 sdxl")
    
    with gr.Row():
        with gr.Column():
            prompt = gr.Textbox(label="Enter your prompt", placeholder="Describe the image you want to generate")
            negative_prompt = gr.Textbox(label="Enter negative prompt", placeholder="Describe what you want to avoid")
            generate_button = gr.Button("Generate")
        
        with gr.Column():
            output_image = gr.Image(label="Generated Image")
    
    generate_button.click(fn=generate_image, inputs=[prompt, negative_prompt], outputs=output_image)

# Launch the Gradio app
demo.launch()