README.md

---
tags:
  - text-to-image
  - lora
  - diffusers
  - template:diffusion-lora
license: apache-2.0
base_model:
  - Tongyi-MAI/Z-Image-Turbo
pipeline_tag: text-to-image
library_name: diffusers
---

# zimage_lora — Z-Image Turbo LoRA experiments

This repository contains training artifacts and provenance for a LoRA adapter trained on top of Tongyi-MAI/Z-Image-Turbo (Z-Image Turbo). The main experiment in this repo is the `16/` folder, which holds a LoRA tuned with a base rank of 16 for linear and conv adapters.

Purpose
- Collect, preserve and document a training run so it can be uploaded to Hugging Face or reproduced locally.

Contents
- `16/` — experiment folder with model artifacts, training config and logs.

Quick summary
- Base model: Tongyi-MAI/Z-Image-Turbo (arch: zimage:turbo)
- LoRA type: UNet LoRA with rank 16 (linear and conv set to 16, alpha 16)
- Training steps: 3000 (checkpoint saves every 250 steps)
- Output format: diffusers safetensors

Usage notes
- Files in `16/` are training artifacts. To use the resulting LoRA, merge or load the safetensors using a compatible Z-Image-Turbo pipeline (Diffusers or a compatible loader).

For maintainers (see AGENTS.md) — how to review, test, and publish artifacts is documented in `AGENTS.md`.

If you need a short, experiment-focused README (example usage and provenance) look in `16/README.md`.