Z-Image-LoRA-trainer - Train custom Z-Image LoRA models 10x faster

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

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

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.

README