|
--- |
|
tags: |
|
- text-to-image |
|
- flux |
|
- lora |
|
- diffusers |
|
- template:sd-lora |
|
- ai-toolkit |
|
widget: |
|
- text: 'kato_is a person in a bustling cafe ' |
|
output: |
|
url: samples/1725879929465__000001000_0.jpg |
|
- text: kato_is walking around talking on a cell phone on a construction site |
|
output: |
|
url: samples/1725879975319__000001000_1.jpg |
|
- text: kato_is in a mall in 1997 |
|
output: |
|
url: samples/1725880021166__000001000_2.jpg |
|
base_model: black-forest-labs/FLUX.1-dev |
|
instance_prompt: kato_is |
|
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 |
|
--- |
|
|
|
# katocolon |
|
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
|
<Gallery /> |
|
|
|
## Trigger words |
|
|
|
You should use `kato_is` 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](/michaelcolenso/katocolon/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('michaelcolenso/katocolon', weight_name='katocolon') |
|
image = pipeline('kato_is 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) |
|
|
|
|
