Z Image LoRA Trainer

Z Image LoRA Trainer

Playground

Z-Image-LoRA-Trainer – train custom image LoRA models from your own dataset, with zip uploads, auto-tuned defaults and fast iteration for brand, character or IP looks. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Z-Image LoRA Trainer

Z-Image LoRA Trainer is a high-performance custom model training service for the Z-Image / Z-Image-Turbo text-to-image generation models. It allows you to train lightweight LoRA (Low-Rank Adaptation) adapters for personalized styles, characters, and concepts, while preserving the fast and high-quality generation properties of Z-Image.

Training Architecture

The trainer is designed around Z-Image’s efficient diffusion architecture and its Turbo distilled variants, and produces one or more specialized LoRA adapters depending on your configuration:

• Base LoRA adapter
  Trains on the core Z-Image representation to capture your target style, character, or object, while keeping the base model frozen and stable.

• Turbo-aware fine-tuning (optional)
  When used with Z-Image-Turbo, the trainer applies Turbo-compatible optimization settings (step-aware learning rate, safe rank and scaling) to maintain high image quality even at low sampling steps.

This architecture ensures that your LoRA:

• Remains compact and easy to share
• Is plug-and-play with supported UIs and pipelines (e.g. ComfyUI / AI Toolkit)
• Preserves the speed and efficiency of Z-Image / Z-Image-Turbo

Training Process

1. Data Upload
   Prepare and upload a ZIP file containing your training images and, optionally, captions or prompts.

2. Automatic Preprocessing
   The trainer automatically:

   • Validates and filters your dataset
   • Resizes and normalizes images for Z-Image
   • Aligns captions / prompts (or auto-generates basic captions if enabled)

3. LoRA Training
   The system runs a tailored LoRA optimization loop for Z-Image:

   • Freezes the base model weights
   • Trains only the low-rank adapter layers
   • Applies Turbo-safe settings when targeting Z-Image-Turbo

4. Model Export
   After training completes, you receive:

   • A LoRA adapter file compatible with Z-Image / Z-Image-Turbo
   • Recommended loading settings (weight scale, steps, and sampling tips) for image generation

Price

• $1 per training

Try more trainers

• Wan 2.2 Image LoRA Trainer - High-performance LoRA trainer for the Wan 2.2 image model, ideal for custom styles and characters that integrate smoothly into the Wan video/image ecosystem.

• Qwen Image LoRA Trainer - Built on the Qwen image model with strong multi-language prompt support and rich semantic understanding, great for text-sensitive image customization.

• Flux Dev LoRA Trainer - LoRA trainer tailored for the Flux Dev model, focusing on high-fidelity, creative visuals and experimentation with new artistic styles.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/z-image-lora-trainer" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "trigger_word": "p3r5on",
    "steps": 1000,
    "learning_rate": 0.0001,
    "lora_rank": 16
}'

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