Z Image Base LoRA

Z Image Base LoRA

Playground

Z-Image-Base LoRA (6B) enables high-quality text-to-image generation with full CFG support and external LoRA support. Supports negative prompting while applying up to 3 LoRAs for custom styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Z-Image Base LoRA

Z-Image Base LoRA is a 6-billion parameter text-to-image model from Tongyi-MAI with full LoRA support. Apply up to 3 custom LoRA adapters simultaneously to generate images with personalized styles, characters, or brand aesthetics — all while maintaining fast generation speeds.

Why Choose This?

• Triple LoRA support Apply up to 3 custom LoRA adapters at once for layered style control — combine character, style, and aesthetic LoRAs in a single generation.

• Flexible output sizing Customize width and height up to 1024px for any aspect ratio you need.

• Prompt Enhancer Built-in tool to automatically improve your prompts for better results.

• LoRA ecosystem compatibility Load LoRA weights from popular sources like Civitai and Hugging Face, or train your own custom LoRAs.

• Affordable pricing Just $0.012 per image — perfect for high-volume generation with custom styles.

Parameters

How to Use

1. Write your prompt — describe the image you want to create, including your LoRA trigger words.
2. Add LoRAs — click ”+ Add Item” to add up to 3 LoRA adapters with their weights.
3. Add negative prompt (optional) — specify what to avoid.
4. Set dimensions — adjust width and height for your needs.
5. Run — submit and download your image.

Pricing

Best Use Cases

• Character Consistency — Use character LoRAs to maintain identity across multiple generations.
• Brand Aesthetics — Apply brand-specific style LoRAs for consistent marketing visuals.
• Art Style Transfer — Generate images in specific artistic styles trained into LoRAs.
• Combined Styles — Layer multiple LoRAs for unique style combinations.
• Rapid Iteration — Test different LoRA combinations quickly at low cost.

Pro Tips

• Include your LoRA trigger words in the prompt for best activation.
• Start with LoRA weight around 0.7-1.0, then adjust based on results.
• Combine complementary LoRAs (e.g., character + style + lighting) for richer outputs.
• Use the Prompt Enhancer to automatically improve your descriptions.
• Keep the same seed when comparing different LoRA combinations.
• Use negative_prompt to avoid common issues like “blurry, distorted, low quality”.

Train Your Own LoRA

Want to create custom LoRAs for Z-Image? Use the Z-Image LoRA Trainer:

• Z-Image LoRA Trainer — Train custom LoRAs with your own images.

Guidance

• How to Train your LoRA?
• How to Use your LoRA?

Related Models

• Z-Image Base — Base model without LoRA support at $0.01 per image.
• Z-Image Turbo — Faster generation optimized for sub-second inference.

Notes

• Maximum of 3 LoRAs can be applied per generation.
• LoRA weights typically range from 0.5 to 1.0 for best results.
• enable_sync_mode is only available through the API, not in the web interface.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/z-image/base-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "negative_prompt": "",
    "loras": [],
    "size": "1024*1024",
    "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}"