Jib Mix Qwen Image Text To Image
Playground
Try it on WaveSpeedAI!Jib Mix Qwen is a next-gen Text-to-Image model optimized for producing natural, pretty faces with improved Asian facial rendering. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Jib-Mix-Qwen-Image is a finely tuned text-to-image generation model based on Qwen-Image 20B (MMDiT), optimized through the Jib-Mix portrait enhancement pipeline. It specializes in realistic human faces, cinematic lighting, and vivid artistic styles, delivering professional-grade visuals from simple text prompts — no LoRA setup needed.
Why it looks great
- Jib-Mix fine-tuning – Enhances facial structure, skin texture, and lighting realism, especially for close-ups and half-body portraits.
- Cinematic diffusion engine – Captures lifelike depth, atmosphere, and tone with consistent color harmony.
- Exceptional text rendering – Handles both Chinese and English typography natively, blending text naturally into the image.
- Broad style coverage – From photorealism to anime, oil painting, 3D, or stylized artwork—one model, infinite versatility.
- Identity consistency – Generates characters with coherent facial details and stable expressions across prompts.
Limits and Performance
- Max resolution per job: up to 1536 × 1536 pixels
- Output formats: JPEG / PNG / WEBP
- Processing speed: ~5–8 seconds per image (depending on prompt complexity)
- Prompt input: supports detailed, multi-line bilingual descriptions
Pricing
- $0.02 per image Each image is billed individually.
How to Use
- Enter a prompt describing your desired image (Chinese or English).
- Set image size (width × height, up to 1536×1536).
- (Optional) Set a seed for reproducibility (
-1= random). - Choose output format (JPEG / PNG / WEBP).
- Generate → preview → iterate with refined prompts.
Pro tips for best quality
- Be specific — describe lighting, pose, emotion, and background for more control.
- For portraits, include keywords like cinematic lighting, soft focus, 8K detail, professional photo.
- Fix seed to maintain subject consistency across multiple outputs.
- Experiment with styles (e.g., realistic, anime, oil painting, CG render) to explore model versatility.
Note
- For best realism, ensure prompts describe camera angle, lighting, and environment — the model responds strongly to cinematic cues.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"size": "1024*1024",
"seed": -1,
"output_format": "jpeg"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/jib-mix-qwen-image/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
doneParameters
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 | - | The size of the generated media in pixels (width*height). |
| seed | integer | No | -1 | - | 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 request attempts to wait for the generated result and return outputs in the same response. If the result is not ready within the sync wait window, the API can return a timeout body while the task continues processing. This option is only available via the API and is supported only by some models. |
| enable_base64_output | boolean | No | false | - | If set to `true`, the prediction's `output` strings are returned as **naked base64** (no `data:<mime>;base64,` prefix). When `false` (default), outputs are returned as URLs pointing to our CDN. |
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 | Output values, usually URL strings; some models return text strings or structured result objects (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.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
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<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.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |