File size: 2,017 Bytes
16b902a 8646235 16b902a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
import requests
from requests_toolbelt.multipart.encoder import MultipartEncoder
import gradio as gr
def generate_image(prompt, aspect_ratio='1:1', model='sd3', seed=0, output_format='png'):
api_url = "https://api.stability.ai/v2beta/stable-image/generate/sd3"
api_key = os.environ.get("STABILITY_AI_API_KEY") # Retrieve the API key from the environment variable
m = MultipartEncoder(
fields={
'prompt': prompt,
'aspect_ratio': aspect_ratio,
'model': model,
'seed': str(seed),
'output_format': output_format,
'mode': 'text-to-image' # Default mode
}
)
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': m.content_type,
'Accept': 'image/*' # To receive the image directly
}
response = requests.post(api_url, data=m, headers=headers)
print(response.status_code, response.content)
if response.status_code == 200:
# Assuming the response content is the image in binary format
output_path = 'generated_image.png'
with open(output_path, 'wb') as f:
f.write(response.content)
return output_path # Return the path for Gradio to display the image
else:
return f"Error: {response.text}"
def wrap_generate_image(prompt, model, aspect_ratio):
return generate_image(prompt, aspect_ratio, model)
iface = gr.Interface(
fn=wrap_generate_image,
inputs=[
gr.Textbox(lines=2, label="Prompt", placeholder="Enter a description for the image..."),
gr.Radio(choices=['sd3', 'sd3-turbo'], label="Model", value='sd3'),
gr.Dropdown(choices=['1:1', '16:9', '21:9', '2:3', '3:2', '4:5', '5:4', '9:16', '9:21'], label="Aspect Ratio", value='1:1')
],
outputs=gr.Image(),
title="Stable Diffusion 3 Text-to-Image Generator",
description="Select a model, aspect ratio, and enter a prompt to generate an image using Stable Diffusion 3."
)
iface.launch(share=True)
|