| | --- |
| | 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 |
| | widget: |
| | - text: cl4ud1a smiles reading a book titled "Z-Image Turbo Model" |
| | output: |
| | url: images/example_zgle6dury.png |
| |
|
| | --- |
| | |
| | # 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`. |
| | |
