Qwen Image Edit 2509

Image Edits

qwen-image-edit-2509

Qwen|Created Sep 23, 2025

Image Edits

Qwen-Image-Edit-2509 is the latest iteration of the Qwen-Image-Edit model, released in September. It introduces multi-image editing capabilities by building on the original architecture and further training with image concatenation, supporting combinations like “person + person,” “person + product,” and “person + scene,” with optimal performance for 1 to 3 images. For single-image editing, Qwen-Image-Edit-2509 delivers improved consistency, particularly in person editing (better facial identity preservation and support for various portrait styles), product editing (enhanced product identity retention), and text editing (support for modifying fonts, colors, and materials in addition to content). The model also natively supports ControlNet features, such as depth maps, edge maps, and keypoint maps.

Overview Specifications Activity Performance Uptime Examples

Pricing-50%

Pay-as-you-go rates for this model. More details can be found here.

Image

$0.01

Capabilities

Input Modalities

TextImage

Output Modalities

Image

Supported Parameters

Available parameters for API requests

Size

Usage Analytics

Token usage of this model on our platform

Throughput

Not enough throughput data

Time-To-First-Token (TTFT)

Not enough TTFT data

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.edit(
    model="qwen-image-edit-2509",
    image=open("image.png", "rb"),
    prompt="A cute baby sea otter wearing a beret",
    n=1,
    size="1024x1024",
    response_format="url"
)
print(resp.data)