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import gradio as gr | |
import requests | |
from PIL import Image | |
import io | |
import PIL | |
API_URL = "https://api-inference.huggingface.co/models/Linaqruf/animagine-xl" | |
headers = {"Authorization": "Bearer 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"} | |
def generate_image(prompt): | |
response = requests.post(API_URL, headers=headers, json={"inputs": prompt}) | |
if response.status_code == 200: | |
image_bytes = response.content | |
try: | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
except PIL.UnidentifiedImageError as e: | |
return None | |
else: | |
return None | |
iface = gr.Interface( | |
fn=generate_image, | |
inputs="text", | |
outputs="image", | |
title="๐ Prompt to Image Generator ๐", | |
description="Generate stunning images from your prompts using an AI model.", | |
layout="wide", | |
theme="huggingface", | |
examples=[ | |
["A surreal painting of a floating city at sunset"], | |
["An abstract landscape with vibrant colors and geometric shapes"] | |
] | |
) | |
iface.launch(share=True, server_port=8888) | |