README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: >-
    a boy wearing a hat and holding a fishing rod, sitting in a boat with a
    crocodile on it, surrounded by water and grass, with a sky full of clouds in
    the background.  in the style of TOK
  output:
    url: samples/1739543056428__000000800_1.jpg
- text: a girl drive in an tiny cute car over the road. in the style of TOK
  output:
    url: samples/example_4.webp
- text: a boy flying in an tiny airplane over the grass. in the style of TOK
  output:
    url: samples/example_3.webp
- text: >-
    Illustration card. A girl is playing with a miniature train set. in the
    style of TOK
  output:
    url: images/example_9xmc926py.png
- text: >-
    Illustration of a girl drives a cute 2cv car over the road. in the style of
    TOK
  output:
    url: images/example_nnjcv0rki.png
- text: >-
    Illustration card. a boy flying in an tiny airplane over the grass. in the
    style of TOK
  output:
    url: images/example_geha6pn5l.png
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: in the style of TOK
license: apache-2.0

---

# cute-comic-800
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/cute-comic-800/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('fffiloni/cute-comic-800', weight_name='cute-comic-800.safetensors')
image = pipeline('a girl sitting under a tree 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)