Qwen Image Max is a text-to-image model with high-quality image generation supporting Chinese and English prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.07per run·~14 / $1

A candid street photograph of an elderly saxophone player on a bustling New York sidewalk at dusk. His face is expressive and wrinkled, and his instrument is tarnished. Wet pavement reflects neon signs and car lights. Shot on 35mm film, natural grain, documentary style.

A cinematic portrait of a woman with freckles and wild, curly red hair, sitting by a window in an old, sunlit room. Dust motes dance in the light rays. She is looking off-camera with a contemplative expression. Warm color grading, shallow depth of field, shot on Kodak Portra 400.

A minimalist fashion editorial shot of a model in a structured, avant-garde black outfit against a stark concrete wall. Strong architectural shadows cast across the scene. Neutral expression, slicked-back hair. High contrast, sharp focus, monochrome photography.
Qwen-Image-Max Text-to-Image is flagship text-to-image generation model built on the Qwen-Image architecture. It delivers exceptional image quality with strong prompt adherence, supporting multiple aspect ratios and flexible output formats for professional creative workflows.
Premium image quality Generates highly detailed, coherent images with excellent composition and lighting.
Strong prompt following Accurately interprets complex descriptions including style, mood, and specific details.
Multiple aspect ratios Preset options for 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3 to fit any platform.
Flexible sizing Custom width and height from 256 to 1536 pixels for precise control.
Multiple output formats Export as JPEG, PNG, or WebP based on your needs.
Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate |
| size | No | Preset aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Output width in pixels (256-1536, default: 1024) |
| height | No | Output height in pixels (256-1536, default: 1024) |
| seed | No | Random seed for reproducibility (-1 for random) |
| Output | Cost |
|---|---|
| Per image | $0.07 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image-max/text-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Qwen Image Max Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image-max/text-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/qwen-image-max/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/qwen-image-max/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputQwen Image Max Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Qwen Image Max is a text-to-image model with high-quality image generation supporting Chinese and English prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-max-text-to-image.
Qwen Image Max Text To Image starts at $0.070 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `size`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/qwen-image-max-text-to-image.
Average end-to-end generation time on WaveSpeedAI is around 24 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.