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import os | |
import gradio as gr | |
from together import Together | |
import base64 | |
from PIL import Image | |
import io | |
def generate_image(api_key, prompt): | |
# Use the provided API key or fall back to the environment variable | |
api_key = api_key or os.environ.get('TOGETHER_API_KEY') | |
if not api_key: | |
return None, "Please provide a valid Together API key" | |
try: | |
# Initialize the Together client with the API key | |
client = Together(api_key=api_key) | |
response = client.images.generate( | |
prompt=prompt, | |
model="black-forest-labs/FLUX.1.1-pro", | |
width=2048, | |
height=1440, | |
steps=1, | |
n=1, | |
response_format="b64_json" | |
) | |
# Decode the base64 image | |
image_data = base64.b64decode(response.data[0].b64_json) | |
image = Image.open(io.BytesIO(image_data)) | |
return image, "Image generated successfully!" | |
except Exception as e: | |
return None, f"An error occurred: {str(e)}" | |
# Create the Gradio interface | |
iface = gr.Interface( | |
fn=generate_image, | |
inputs=[ | |
gr.Textbox(type="password", label="Together API Key"), | |
gr.Textbox(lines=3, placeholder="Enter your image prompt here...", label="Prompt") | |
], | |
outputs=[ | |
gr.Image(label="Generated Image"), | |
gr.Textbox(label="Status") | |
], | |
title="Image Generation with FLUX.1.1-pro", | |
description="Generate images using the FLUX.1.1-pro model via the Together API. You can provide your API key here" | |
) | |
# Launch the interface | |
iface.launch() |