Qwen Image Text To Image LoRA

Qwen Image Text To Image LoRA

Playground

Try it on WaveSpeedAI!

Qwen-Image LoRA is a 20B MMDiT next-gen text-to-image model with LoRA support for fast customization and refined image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Qwen-Image-LoRA extends the base 20B MMDiT text-to-image model by allowing users to plug in custom LoRA weights (.safetensors) for fine-tuned control over style, characters, or artistic domains. This makes it a versatile tool for creators who want both world-class text rendering and personalized generation.


Why it looks great

  • LoRA integration: Import external .safetensors LoRA weights and control blending strength via scale.
  • SOTA text rendering: Rivals GPT-4o in English and is best-in-class for Chinese typography.
  • In-pixel text generation: Text is seamlessly integrated into images (no overlays).
  • Bilingual support: Handles Chinese & English with diverse fonts and complex layouts.
  • General image excellence: Photorealistic, anime, impressionist, or minimalist styles—all supported.

Limits and Performance

  • Max resolution per job: up to 1024 × 1024 pixels
  • LoRA path: provide <owner>/<model-name> or external .safetensors URL
  • LoRA scale: adjustable strength (default = 1.0)
  • Output formats: JPEG / PNG / WEBP
  • Processing speed: ~6–10 seconds per image
  • Input prompt: supports multi-line descriptive text

Pricing

  • $0.025 per image
  • Each image is billed individually.

How to Use

  1. Enter a prompt (supports detailed narrative & embedded text).
  2. Set size (width & height, up to 1024×1024).
  3. Add one or more LoRAs:
  • Paste the path/URL of the LoRA .safetensors file.
  • Adjust the scale (e.g., 0.5 for subtle effect, 1.0 for full strength).
  1. (Optional) Set seed for reproducibility (-1 = random).
  2. Choose output format (JPEG / PNG).
  3. Run → preview results → iterate with different LoRA scales.

Pro tips for best quality

  • Use specific LoRAs for characters, art styles, or IP consistency.
  • Combine multiple LoRAs for hybrid results (e.g., anime + steampunk).
  • Adjust scale carefully—too high may distort, too low may fade.
  • Lock the seed to maintain subject consistency when swapping LoRAs.

Reference


Note

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/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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
lorasarray<object>No0 ~ 3 itemsList of LoRAs to apply (max 3).
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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