Kandinsky 3.1 (Free)
Kandinsky-3.1 is a large text-to-image diffusion model developed by Sber and AIRI, featuring 11.9 billion parameters. The model consists of a text encoder, U-Net, and decoder, enabling high-quality, detailed image generation from text prompts. It is trained on extensive datasets and is designed for both creative and scientific applications.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Free
Capabilities
Input Modalities
Output Modalities
Supported Parameters
Available parameters for API requests
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(base_url="https://api.naga.ac/v1", api_key="YOUR_API_KEY")
resp = client.images.generate(
model="kandinsky-3.1:free",
prompt="A white siamese cat",
size="1024x1024",
n=1,
response_format="url", # or "b64_json"
)
print(resp.data) # array of images with url or b64_json