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--- |
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tags: |
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- text-to-image |
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- lora |
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- diffusers |
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- template:diffusion-lora |
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license: apache-2.0 |
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base_model: |
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- Tongyi-MAI/Z-Image-Turbo |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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--- |
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# zimage_lora — Z-Image Turbo LoRA experiments |
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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. |
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Purpose |
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- Collect, preserve and document a training run so it can be uploaded to Hugging Face or reproduced locally. |
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Contents |
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- `16/` — experiment folder with model artifacts, training config and logs. |
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Quick summary |
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- Base model: Tongyi-MAI/Z-Image-Turbo (arch: zimage:turbo) |
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- LoRA type: UNet LoRA with rank 16 (linear and conv set to 16, alpha 16) |
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- Training steps: 3000 (checkpoint saves every 250 steps) |
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- Output format: diffusers safetensors |
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Usage notes |
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- 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). |
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For maintainers (see AGENTS.md) — how to review, test, and publish artifacts is documented in `AGENTS.md`. |
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If you need a short, experiment-focused README (example usage and provenance) look in `16/README.md`. |
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