Qwen Image Text To Image

Playground

Qwen-Image is a 20B MMDiT next-gen text-to-image model that generates images from text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Qwen-Image (Text-to-Image)

Qwen-Image is a 20B MMDiT-based text-to-image generation model, especially strong at native text rendering in both English and Chinese. It is a powerful creative tool for posters, comics, and visual storytelling, while also excelling at general image generation from photorealism to anime.

Why it looks great

SOTA text rendering: Rivals GPT-4o in English and best-in-class for Chinese.
In-pixel text generation: Text is fully integrated into the image (no overlays).
Bilingual typography: Handles diverse fonts, styles, and complex layouts.
General image capability: Excels across styles—photorealistic, anime, impressionist, minimalist.

Limits and Performance

Max resolution per job: up to 1536 × 1536 pixels
Custom size: manually set width & height
Output formats: JPEG / PNG / WEBP
Processing speed: ~5–8 seconds per image (depends on size & queue)
Input prompt: supports detailed, multi-line descriptions

Price

Only $0.02 per image!!!

How to Use

Write a prompt describing the image (can include embedded text).
Adjust size (width & height, up to 1536×1536).
Set a seed for reproducibility.
Choose output_format.
Run the job and download the generated image.

Pro tips for best quality

For poster design, explicitly describe font style, placement, and mood.
For bilingual text, specify both Chinese and English in the prompt.
Use consistent seeds to regenerate similar layouts with slight variations.
Keep height:width ratio balanced for best typography results.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "seed": -1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
prompt	string	Yes		-	The positive prompt for the generation.
size	string	No	1024*1024	256 ~ 1536 per dimension	The size of the generated media in pixels (width*height).
seed	integer	No	-1	-1 ~ 2147483647	The random seed to use for the generation. -1 means a random seed will be used.
output_format	string	No	jpeg	jpeg, png, webp	The format of the output image.
enable_sync_mode	boolean	No	false	-	If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
enable_base64_output	boolean	No	false	-	If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Qwen Image LoRA Trainer Qwen Image Text To Image LoRA