metadata
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 | Sample 2 | Sample 3 |
|---|---|---|
 Panda Clouds |
 Vintage Car |
 Retro Mountain |
T-Shirt LoRA v1 (Z-Image-Turbo)
This LoRA was trained on Z-Image-Turbo using the 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.