---
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
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
instance_prompt: CARAVAGGIO

widget:
- text: >-
    a coca cola can "sacred elixir" arcana in the style of TOK a trtcrd, tarot
    style
  output:
    url: >-
      examples/1.webp
- text: >-
    a person giving a ted talk on a TED stage with the TED logo, "the speaker"
    in the style of TOK a trtcrd, tarot style
  output:
    url: >-
      examples/2.webp
- text: >-
    a trtcrd of a person on a computer, on the computer you see a meme being
    made with an ancient looking trollface, "the shitposter" arcana, in the
    style of TOK a trtcrd, tarot style
  output:
    url: >-
      examples/3.jpeg
- text: a work cubicle in the style of TOK a trtcrd, tarot style
  output:
    url: >-
      examples/4.jpeg
- text: a dog eating pasta, in the style of TOK a trtcrd, tarot style
  output:
    url: >-
      examples/a1a8466576514faa9119fab78d7aa4a2_fba6e09c329a49a2b5fcf57ec29a8d56.png
- text: >-
    a man cutting meat from a kebab vertical rotisserie, it reads "Döner" in the
    style of TOK a trtcrd, tarot style
  output:
    url: >-
      images/5.webp
- text: >-
    a man cutting meat from a kebab vertical rotisserie, it reads "Döner" in the
    style of TOK a trtcrd, tarot style
  output:
    url: >-
      images/6.jpeg
---


  
# Flux Lora Caravaggio

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `CARAVAGGIO` to trigger the image generation.


## 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.float16).to('cuda')
pipeline.load_lora_weights('ludocomito/flux-lora-caravaggio', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
```

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)