Instructions to use baptle/Z-Image-ZBaptiste with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baptle/Z-Image-ZBaptiste with PEFT:
Task type is invalid.
- Inference
- Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| base_model: Tongyi-MAI/Z-Image-Turbo | |
| tags: | |
| - lora | |
| - diffusion | |
| - image-generation | |
| - realistic | |
| license: other | |
| language: | |
| - en | |
| - fr | |
| pipeline_tag: text-to-image | |
| # ZBaptiste LoRA for Z-Image-Turbo | |
| Identity LoRA trained for generating Baptiste Lefort. | |
| ## Usage | |
| Prompt: | |
| `ZBaptiste, realistic portrait photo, natural light, shallow depth of field` | |
| Recommended: | |
| - LoRA weight: 0.7–1.0 | |
| - Steps: 6–10 (turbo-style) | |
| - Guidance: 1 (or your pipeline default) | |
| ## Training data | |
| Private personal photos (not included in this repo). |