---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
    tshirt design, a cat with sunglasses lounging on a hammock with text
    'Purr-fect Vacation' in a playful font. tdsgn
  output:
    url: samples/1732630500405__000002000_0.jpg
- text: >-
    Vector art of a lion riding a bicycle, wearing sporty attire. A logo in the
    background with the text 'Need to stay fit y'all' in bold, stylish font.
    Designed as a creative and vibrant t-shirt design, tdsgn
  output:
    url: samples/1732630515114__000002000_1.jpg
- text: tshirt design, a cat in a confused face, with text 'IDK ASK CHATGPT'. tdsgn
  output:
    url: images/example_j321wmf1d.png
- text: tshirt design, a monkey says 'IDK ASK PERPLEXITY'. tdsgn
  output:
    url: images/example_kg8aeoc8x.png
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: tdsgn
license: apache-2.0

---

# tshirt-design-2
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `tdsgn` to trigger the image generation.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/dhanushreddy29/tshirt-design-2/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('dhanushreddy29/tshirt-design-2', weight_name='tshirt-design-2.safetensors')
image = pipeline('tshirt design, a cat with sunglasses lounging on a hammock with text 'Purr-fect Vacation' in a playful font. tdsgn').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)