README.md

---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- lora
- z-image
- z-image-turbo
- text-to-image
---

# Flat vector shapes 000003000

LoRA for **Z-Image Turbo**.

- **File:** `Flat vector shapes_000003000.safetensors`
- **Trigger word:** `flatvectorshapes`
- **Trained by:** [@Mariobilly](https://huggingface.co/Mariobilly)

## Samples

![sample 1](images/01.png)
![sample 2](images/02.png)
![sample 3](images/03.png)
![sample 4](images/04.png)

## Usage

Place the `.safetensors` file in your `models/loras/` folder and load it
in ComfyUI or your inference UI of choice. Include the trigger word `flatvectorshapes`
in your prompt to activate the LoRA.

```python
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo")
pipe.load_lora_weights("Mariobilly/flat-vector-shapes-000003000")
image = pipe("flatvectorshapes, your prompt here").images[0]
```