Browse ModelsWavespeed AIQwen Image 2.0 Text To Image

Qwen Image 2.0 Text To Image

Qwen Image 2.0 Text To Image

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Qwen Image 2.0 is an advanced text-to-image model with enhanced image quality and improved prompt understanding. Up to 2k. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Qwen Image 2.0 is advanced text-to-image model that generates high-quality images from detailed text descriptions. With exceptional prompt following, flexible aspect ratios, and custom resolution support, it excels at rendering complex scenes with fine details like hair, accessories, and textures.


Why Choose This?

  • Strong prompt adherence Excels at following detailed, complex prompts with multiple elements and attributes.

  • Fine detail rendering Excellent at rendering intricate details like hair textures, jewelry, and clothing accessories.

  • Flexible aspect ratios Multiple presets including 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.

  • Custom resolution Adjustable width and height from 256 to 2048 pixels.

  • Prompt Enhancer Built-in tool to automatically improve your descriptions.


Parameters

ParameterRequiredDescription
promptYesText description of the desired image
sizeNoAspect ratio preset: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3
widthNoCustom width in pixels (range: 256–2048)
heightNoCustom height in pixels (range: 256–2048)
seedNoRandom seed for reproducibility (-1 for random)

How to Use

  1. Write your prompt — describe the image in detail, including specific attributes, styles, and elements.
  2. Choose size — select a preset aspect ratio or customize width/height.
  3. Use Prompt Enhancer (optional) — click to automatically refine your description.
  4. Set seed (optional) — for reproducible results.
  5. Run — submit and download your generated image.

Pricing

OutputCost
Per image$0.03

Best Use Cases

  • Detailed Character Art — Generate characters with specific attributes like hair styles, clothing, and accessories.
  • Portrait Photography — Create photorealistic portraits with fine details.
  • Fashion & Style — Visualize outfits, hairstyles, and jewelry with precision.
  • Concept Art — Render complex scenes with multiple elements.
  • Cultural & Artistic — Generate images with specific cultural elements and decorations.

Pro Tips

  • Use highly detailed prompts — the model excels at following complex descriptions with multiple attributes.
  • Describe specific details like “waist-length loc’d hair,” “gold thread,” “cowrie shells,” or “blue beads” for precise rendering.
  • Include motion and pose descriptions for dynamic images (e.g., “caught mid-spin in a dance”).
  • Match aspect ratio to your content: 1:1 for portraits, 16:9 for landscapes, 9:16 for full-body shots.
  • Use the same seed to reproduce or iterate on specific results.

Notes

  • Prompt is the only required field.
  • Resolution range: 256–2048 pixels for both width and height.
  • Default size is 1:1.
  • Ensure your prompts comply with content guidelines.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "size": "1024*1024",
  "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image-2.0/text-to-image" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Text prompt describing the desired image, supports Chinese and English (max 800 characters)
sizestringNo1024*1024-∞ ~ 2048Image dimensions in width*height format (e.g., 1024*1024, 1280*720)
seedintegerNo-1-Random seed for reproducibility (-1 for random, 0-2147483647 for specific seed)

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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