Qwen Image Text To Image LoRA

Qwen Image Text To Image LoRA

Playground

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

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).

4. (Optional) Set seed for reproducibility (-1 = random).

5. Choose output format (JPEG / PNG).

6. 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

• Use your LoRA

• Train your LoRA

Note

• Please use wavespeed-ai/qwen-image-lora-trainer to make sure your LoRA can use in this model!
• Or the corresponding model from official platform! (Civitai or Hugging Face)

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/text-to-image-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "loras": [],
    "seed": -1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"