Jib Mix Qwen Image Text To Image LoRA

Jib Mix Qwen Image Text To Image LoRA

Playground

Jib Mix Qwen LoRA specializes in producing more natural, attractive faces and is particularly strong at rendering Asian facial features for next-gen text-to-image generation with LoRA support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Jib-Mix-Qwen-Image-LoRA is a creative powerhouse that fuses the Qwen-Image 20B MMDiT backbone with LoRA adaptability and Jib-Mix fine-tuning. It excels at producing stunning human portraits, cinematic lighting, and expressive stylistic control—all with simple text prompts. Perfect for creators seeking world-class face generation and full artistic flexibility.

Why it looks great

• Hybrid Jib-Mix tuning – Trained for superior facial realism, skin tone balance, and lighting fidelity; especially powerful for close-up and half-body portraits.
• LoRA integration – Load .safetensors LoRA weights for custom characters, aesthetics, or stylizations; control blending with a simple scale slider.
• Advanced text rendering – Exceptional bilingual performance (Chinese & English) with smooth typography inside the image.
• Versatile aesthetics – Photorealistic, anime, painterly, or stylized—handles all with consistent detail and color harmony.
• Emotion-aware diffusion – Captures expressions, pose subtleties, and scene atmosphere for cinematic storytelling.

Limits and Performance

• Max resolution per job: up to 1536 × 1536 pixels
• LoRA path: supports <owner>/<model-name> or .safetensors URL
• LoRA scale: 0.1–1.5 (default = 1.0)
• Output formats: JPEG / PNG / WEBP
• Processing speed: ~6–9 seconds per image
• Prompt: bilingual, descriptive, supports multi-line narratives

Pricing

• $0.025 per image Each image is billed individually.

How to Use

1. Write a prompt describing your scene or character (English or Chinese).
2. Set width and height.
3. Add one or more LoRAs:

• Paste LoRA path or URL (.safetensors).
• Adjust scale to tune blending intensity.

4. (Optional) Set a seed for reproducibility (-1 = random).
5. Choose output format (JPEG / PNG / WEBP).
6. Generate → review → iterate with new LoRAs or parameters.

Pro tips for best quality

• Use portrait-focused LoRAs to enhance realism and consistency.
• Combine style + identity LoRAs for hybrid looks (e.g., fantasy portrait + cyberpunk mood).
• Keep scale moderate (0.7–1.0) for natural results.
• Fix seed to maintain identity when testing new LoRAs.

Reference

• How to train your LoRA?
• How to use your LoRA?

Note

• LoRAs from Civitai or Hugging Face are supported if exported as .safetensors.
• Model optimized for portrait, fashion, and cinematic generation—for landscapes or scenes, lower scale or combine with general LoRAs for balance.

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-lora" \
  -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

Response Parameters

Result Request Parameters

Result Response Parameters