Qwen-Image 2.1 (evaluation) qwen-image-2.1

Evaluation only (Qwen Research License): text to image and editing with up to 10 reference images and a mask, native transparent output, 2048x2048 by default.

From the live catalog

View .md

region ATL quantization bf16 Hugging Face Qwen/Qwen-Image-2.1

Inputs

Input	Accepts
`text`
`image`	formats png, jpeg, webp references type: integer, min: 1, max: 10

Parameters

Streams with stream: true.

Parameter	Type	Values	Default
`size`	any
`aspect_ratio`	string	1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16	`1:1`
`resolution`	string	768, 1K, 1.5K, 2K
`n`	integer	1–4	`1`
`response_format`	string	url, b64_json	`url`
`seed`	integer
`steps`	integer	6, 20–50	`6`
`output_format`	string	png, jpeg, webp	`png`
`background`	string	auto, opaque, transparent	`auto`
`output_compression`	integer	0–100

Endpoints

POST/v1/images/generations Create Image POST/v1/images Generate Image (OpenRouter) POST/v1/images/edits Edit Image

A request

curl https://api.vultrinference.com/v1/images/generations \
  -H "Authorization: Bearer $VULTR_INFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-image-2.1",
    "prompt": "Studio photograph of a red ceramic teapot beside a blue cup on a wooden table.",
    "n": 1,
    "size": "1024x1024",
    "response_format": "b64_json"
  }'

import os
import requests

response = requests.post(
    "https://api.vultrinference.com/v1/images/generations",
    headers={"Authorization": f"Bearer {os.environ['VULTR_INFERENCE_API_KEY']}"},
    json={
        "model": "qwen-image-2.1",
        "prompt": "Studio photograph of a red ceramic teapot beside a blue cup on a wooden table.",
        "n": 1,
        "size": "1024x1024",
        "response_format": "b64_json",
    },
)
print(response.json())

const response = await fetch("https://api.vultrinference.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.VULTR_INFERENCE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "qwen-image-2.1",
    "prompt": "Studio photograph of a red ceramic teapot beside a blue cup on a wooden table.",
    "n": 1,
    "size": "1024x1024",
    "response_format": "b64_json"
  }),
});
console.log(await response.json());