Qwen-Image

try online

A multimodal model for generating and editing images based on text prompts, part of the Qwen series of models. It demonstrates significant improvements in accurately rendering complex text (including Chinese) and performing advanced image-editing operations. The model possesses generalized capabilities in both image creation and editing, with an emphasis on preserving font details, composition, and contextual harmony of the text.

Key Features:

  • Support for image generation based on text prompts in English and Chinese.
  • Variable aspect ratios (e.g., 16:9, 4:3, 1:1) with specified dimensions.
  • High detail preservation of text on images, maintaining layout and context for alphabetic languages (e.g., English) and logographic systems (e.g., Chinese).

Announce Date: 04.08.2025
Parameters: 20B
Context: 128K
Developer: Alibaba
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints to test inference and explore Qwen-Image capabilities.
Model Name Context Type GPU TPS Status Link
Qwen/Qwen-Image 128,000.0 Public RTX4090 AVAILABLE try

API access to Qwen-Image endpoints

curl -s http://195.209.214.185:3000/generateImage \
-H "Content-Type: application/json" \
-d '{
"height": 512,
"width": 512,
"prompt": "A cinematic shot of a baby racoon wearing an intricate italian priest robe.",
"negative_prompt": "bad anatomy, poorly drawn hands, extra limbs, missing limbs",
"guidance_scale": -1,
"num_inference_steps": -1,
"seed": -1
}' | jq '.image_byte_base64' | base64 -d > image.png
$response = Invoke-WebRequest http://195.209.214.185:3000/generateImage `
-Method POST `
-Headers @{
"Content-Type" = "application/json"
} `
-Body (@{
height = 512
width = 512
prompt = "A cinematic shot of a baby racoon wearing an intricate italian priest robe."
negative_prompt = "bad anatomy, poorly drawn hands, extra limbs, missing limbs"
guidance_scale = -1
num_inference_steps = -1
seed = -1
} | ConvertTo-Json)
($response.Content | ConvertFrom-Json).generation_time
$image_byte_base64 = ($response.Content | ConvertFrom-Json).image_byte_base64
$decoded = [System.Convert]::FromBase64CharArray($image_byte_base64, 0, $image_byte_base64.Length)
Set-Content image.png -Value $decoded -Encoding Byte
import requests
from PIL import Image
from io import BytesIO
import base64
response = requests.post("http://195.209.214.185:3000/generateImage",
headers={"Content-Type":"application/json"},
json={
"height": 512,
"width": 512,
"prompt": "A cinematic shot of a baby racoon wearing an intricate italian priest robe.",
"negative_prompt": "bad anatomy, poorly drawn hands, extra limbs, missing limbs",
"guidance_scale": -1,
"num_inference_steps": -1,
"seed": -1
}
)
image_bytes_base64 = base64.b64decode(response.json()["image_byte_base64"])
img = Image.open(BytesIO(image_bytes_base64))
img.save("image.png")

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended configurations for hosting Qwen-Image

Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslaa2-1.16.32.160 16 32768 160 1 $0.38 Launch
rtx2080ti-1.16.32.160 16 32768 160 1 $0.41 Launch
teslat4-1.16.16.160 16 16384 160 1 $0.46 Launch
teslaa10-1.16.32.160 16 32768 160 1 $0.53 Launch
rtx3080-1.16.32.160 16 32768 160 1 $0.57 Launch
rtx3090-1.16.24.160 16 24576 160 1 $0.88 Launch
rtx4090-1.16.32.160 16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160 12 65536 160 1 $1.20 Launch
rtx5090-1.16.64.160 16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslaa10-1.16.32.160 16 32768 160 1 $0.53 Launch
teslaa2-2.16.32.160 16 32768 160 2 $0.57 Launch
rtx2080ti-2.12.64.160 12 65536 160 2 $0.69 Launch
teslat4-2.16.32.160 16 32768 160 2 $0.80 Launch
rtx3090-1.16.24.160 16 24576 160 1 $0.88 Launch
rtx3080-2.16.32.160 16 32762 160 2 $0.97 Launch
rtx4090-1.16.32.160 16 32768 160 1 $1.15 Launch
teslav100-1.12.64.160 12 65536 160 1 $1.20 Launch
rtx5090-1.16.64.160 16 65536 160 1 $1.59 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch
Prices:
Name vCPU RAM, MB Disk, GB GPU Price, hour
teslaa10-2.16.64.160 16 65536 160 2 $0.93 Launch
rtx2080ti-4.16.64.160 16 65536 160 4 $1.18 Launch
teslat4-4.16.64.160 16 65536 160 4 $1.48 Launch
rtx3090-2.16.64.160 16 65536 160 2 $1.67 Launch
rtx3080-4.16.64.160 16 65536 160 4 $1.82 Launch
rtx4090-2.16.64.160 16 65536 160 2 $2.19 Launch
teslav100-2.16.64.240 16 65535 240 2 $2.22 Launch
teslaa100-1.16.64.160 16 65536 160 1 $2.58 Launch
rtx5090-2.16.64.160 16 65536 160 2 $2.93 Launch
teslah100-1.16.64.160 16 65536 160 1 $5.11 Launch

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