README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: Tshirt Design, A cartoon image of a person juggling paintbrushes, gears,
        and lightbulbs, with the phrase "Embrace the Mess" written in playful, graffiti-style
        font. The background is a mix of vibrant splashes of paint and abstract doodles,
        representing creativity in action, tsdsign
    output:
        url: samples/1732548090228__000001000_0.jpg
-   text: Tshirt Design, A skeleton skateboarding through outer space, leaving a trail
        of colorful stardust behind. The words "Skate Through the Universe" wrap around
        the design in glowing, stylized font, tsdsign
    output:
        url: samples/1732548099417__000001000_1.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: tsdsign
license: apache-2.0


---

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

## Trigger words

You should use `tsdsign` 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/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', weight_name='tshirt-design.safetensors')
image = pipeline('Tshirt Design, A cartoon image of a person juggling paintbrushes, gears, and lightbulbs, with the phrase "Embrace the Mess" written in playful, graffiti-style font. The background is a mix of vibrant splashes of paint and abstract doodles, representing creativity in action, tsdsign').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)