README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: in the style of TOK
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
widget:
- text: a fluffy llama. in the style of TOK
  output:
    url: images/example_j0s9hnq2s.png
- text: a fluffy capybara in water. in the style of TOK
  output:
    url: images/example_qan6b6tqd.png
- text: a tiny sleepy white tiger. in the style of TOK
  output:
    url: images/example_p8av5a0ga.png
- text: a tiny monkey eating a banana. in the style of TOK
  output:
    url: images/example_220xgs92d.png
- text: a fluffy tiny orang-outan eating an avocado, palm tree. in the style of TOK
  output:
    url: images/example_2fkk2c8up.png

---

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

## Trigger words

You should use `in the style of TOK` 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](/fffiloni/wooly-play-doh/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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/wooly-play-doh', weight_name='wooly-play-doh.safetensors')
image = pipeline('A person in a bustling cafe, in the style of TOK').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)