Z-Image Base LoRA Trainer

Z-Image Base LoRA Trainer is a high-performance custom model training service for the Z-Image text-to-image generation model. It allows you to train lightweight LoRA (Low-Rank Adaptation) adapters for personalized styles, characters, and concepts — bringing your custom visuals into AI-generated images.

Why Choose This?

Efficient training Train custom adapters specifically optimized for Z-Image's fast diffusion architecture.
Compact and portable Produces lightweight LoRA files that are easy to share and deploy.
Plug-and-play compatibility Trained LoRAs work directly with Z-Image Base LoRA and Z-Image Turbo LoRA models.
Preserves base model speed Your custom styles inherit Z-Image's fast generation capabilities.

Training Process

Data Upload Prepare and upload a ZIP file containing your training images. Include 10-20 high-quality, diverse images for best results.
Configure Trigger Word Set a unique trigger word (e.g., "p3r5on") that will activate your trained style or character in prompts.
Adjust Training Parameters
- steps — Total training iterations (default: 1000)
- learning_rate — Training speed (default: 0.0001)
- lora_rank — Adapter capacity (default: 16)
LoRA Training The system runs a tailored LoRA optimization loop:
- Freezes the base model weights
- Trains only the low-rank adapter layers
- Applies Z-Image optimized settings
Model Export After training completes, you receive a LoRA adapter file (.safetensors) compatible with:
- Z-Image Base LoRA
- Z-Image Turbo LoRA

Parameters

Parameter	Required	Default	Description
data	Yes	—	ZIP file containing training images (min 4 images recommended)
trigger_word	No	p3r5on	Unique word to activate your trained concept
steps	No	1000	Number of training steps (500-10000)
learning_rate	No	0.0001	Training speed (lower = more stable)
lora_rank	No	16	Adapter capacity (1-64, higher = more detail)

How to Use

Prepare your images — collect 10-20 high-quality, diverse images of your subject.
Create a ZIP file — package all images into a single ZIP archive.
Upload your data — drag and drop or provide a public URL to your ZIP file.
Set trigger word — choose a unique word that won't conflict with common terms.
Adjust parameters (optional) — modify steps, learning_rate, and lora_rank as needed.
Run — submit and wait for training to complete.
Download — receive your LoRA adapter file for use with Z-Image models.

Pricing

Training Steps	Price (USD)
1,000	$1.25
2,000	$2.50
5,000	$6.25
10,000	$12.50

Billing Rules

Base price: $1.25 per 1,000 steps
Total cost = $1.25 × (steps / 1,000)

Best Use Cases

Character LoRAs — Train on character images to maintain identity across generations.
Brand Styles — Create custom visual styles for consistent marketing imagery.
Art Styles — Capture specific artistic aesthetics for creative projects.
Product Photography — Train on product photos for consistent visual presentations.

Pro Tips

Use 10-20 high-quality, diverse images of your subject for best results.
Choose a unique trigger word that won't conflict with common words (e.g., "m1style" instead of "style").
Higher lora_rank (32-64) captures more detail but increases training time and file size.
Lower learning_rate (0.00005) is more stable but requires more steps.
Start with default settings, then adjust if needed.

Try Your LoRA

After training, use your LoRA with these models:

Z-Image Base LoRA — Base model with LoRA support.
Z-Image Turbo LoRA — Fast generation with LoRA support.

Guidance

Notes

Minimum recommended: 4 images, optimal: 10-20 images.
Training time scales with the number of steps configured.
Higher parameter values (steps, lora_rank) will increase training time and cost.
For faster iterations, start with lower settings and increase gradually.

Z-Image Base 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 cold starts, affordable pricing.

README