File size: 1,601 Bytes
1b2d428 16220f5 1b2d428 16220f5 1b2d428 16220f5 1b2d428 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: 'A person in a bustling cafe '
output:
url: samples/1725501643030__000002000_0.jpg
- text: a woman sitting at a desk with a child standing in front of her
output:
url: samples/1725501660398__000002000_1.jpg
- text: a man and a woman on a beach with a palm tree in the background
output:
url: samples/1725501677712__000002000_2.jpg
instance_prompt: CARTOO
---
# cartoon
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `CARTOO` 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](/Tudortot/cartoon/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('Tudortot/cartoon', weight_name='cartoon')
image = pipeline('A person in a bustling cafe ').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)
|