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import gradio as gr | |
from transformers import pipeline | |
# Load the pre-trained model for text-to-image generation (assuming the model is compatible with this task) | |
generator = pipeline("text-to-image", model="username/lustlyai-flux-lustly-ai-nsfw-v1") | |
def generate_image_from_prompt(prompt): | |
image = generator(prompt) | |
return image[0] # Assuming the generator returns a list of images | |
# Create the Gradio interface | |
iface = gr.Interface( | |
fn=generate_image_from_prompt, | |
inputs=gr.Textbox(label="Enter Your NSFW Prompt"), | |
outputs=gr.Image(label="Generated Image"), | |
title="Lustlyai-Flux NSFW Image Generator", | |
description="Generate NSFW images based on your text prompts.", | |
theme="dark" | |
) | |
# Launch the interface | |
iface.launch() | |