Jib Mix Qwen Image Text To Image

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

  1. Enter a prompt describing your desired image (Chinese or English).
  2. Set image size (width × height, up to 1536×1536).
  3. (Optional) Set a seed for reproducibility (-1 = random).
  4. Choose output format (JPEG / PNG / WEBP).
  5. 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
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_sync_modebooleanNofalse-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_outputbooleanNofalse-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

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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