Jib Mix Qwen Image Text to Image LoRA | Custom LoRA Image API on WaveSpeedAI

Jib-Mix-Qwen-Image-LoRA (Text-to-Image)

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

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

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

(Optional) Set a seed for reproducibility (-1 = random).
Choose output format (JPEG / PNG / WEBP).
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

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.

Jib Mix Qwen Image Text To Image Lora API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/jib-mix-qwen-image/text-to-image-lora with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Jib Mix Qwen Image Text To Image Lora below.

HTTP example

set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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 "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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

Node.js example

const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/jib-mix-qwen-image/text-to-image-lora";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1024*1024",
        "seed": -1,
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}

Python example

import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024",
    "seed": -1,
    "output_format": "jpeg"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/jib-mix-qwen-image/text-to-image-lora", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Jib Mix Qwen Image Text To Image Lora API — Frequently asked questions

What is the Jib Mix Qwen Image Text To Image Lora API?

Jib Mix Qwen Image Text To Image Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Jib Mix Qwen Image Text To Image Lora API?

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/jib-mix-qwen-image-text-to-image-lora.

How much does Jib Mix Qwen Image Text To Image Lora cost per run?

Jib Mix Qwen Image Text To Image Lora starts at $0.025 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.

What inputs does Jib Mix Qwen Image Text To Image Lora accept?

Key inputs: `prompt`, `size`, `seed`, `enable_base64_output`, `enable_sync_mode`, `loras`. 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/jib-mix-qwen-image-text-to-image-lora.

How long does Jib Mix Qwen Image Text To Image Lora take to generate?

Median end-to-end generation time on WaveSpeedAI is around 17 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Jib Mix Qwen Image Text To Image Lora outputs commercially?

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.

wavespeed-ai/

ExamplesView all

Related Models

README