metadata

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

Prompt
kato_is a person in a bustling cafe

Prompt
kato_is walking around talking on a cell phone on a construction site

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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