---
license: apache-2.0
library_name: diffusers
tags:
- text-to-image
- lora
- z-image-turbo
- ai-toolkit
- fashion
- tshirt
base_model: Tongyi-MAI/Z-Image-Turbo
instance_prompt: tshirt
widget:
- text: "cute panda resting on blue clouds, crescent moon and yellow stars background, flat vector illustration, tshirt"
  output:
    url: sample_1.jpg
- text: "Vintage T-shirt, Classic Car Object, Desert Highway Landscape, Retro Color Palette, tshirt"
  output:
    url: sample_2.jpg
- text: "Minimalist mountain silhouette, geometric sun, aesthetic streetwear design, tshirt"
  output:
    url: sample_3.jpg
language:
- en
- tr
---

![Sample 1](comfyui.png)

| Sample 1 | Sample 2 | Sample 3 |
|:---:|:---:|:---:|
| ![Sample 1](sample_1.jpg) *Panda Clouds* | ![Sample 2](sample_2.jpg) *Vintage Car* | ![Sample 3](sample_3.jpg) *Retro Mountain* |

# T-Shirt LoRA v1 (Z-Image-Turbo)

This LoRA was trained on **Z-Image-Turbo** using the [ai-toolkit](https://github.com/ostris/ai-toolkit) by Ostris. It is optimized for creating t-shirt designs, specifically focusing on vintage and graphic styles.

## Model Description
This LoRA is optimized for creating **T-shirt graphics and vector-style illustrations**. It works exceptionally well with clean backgrounds and vibrant colors, as seen in the panda example above.

## Model Details
- **Trigger Word:** `tshirt`
- **Base Model:** `Tongyi-MAI/Z-Image-Turbo`
- **Training Resolution:** 1024x1024
- **LoRA Rank:** 32 (Linear) / 16 (Conv)
- **Training Steps:** 3000

## Usage Instructions

### Trigger Word
Always include `tshirt` in your prompt to activate the LoRA effect.

### Recommended Inference Settings
Since this is based on a **Turbo** model:
- **Steps:** 8 - 12 steps (as per your training config)
- **Guidance Scale (CFG):** 1.0 - 1.5
- **Sampler:** FlowMatch

### Prompting Tip
For best results, describe the graphic first, then the style, and end with the trigger word. 
*Example:* `A minimalist owl illustration, geometric style, white background, tshirt`

## Training Configuration
This model was trained with the following key parameters:
- **Optimizer:** AdamW 8-bit
- **Learning Rate:** 0.0001
- **Network Dim:** 32
- **Alpha:** 32
- **Dtype:** bf16

## Files
- `tshirt_lora_v1.safetensors`: The main LoRA weight file.