README.md

---
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: >-
    Man having lunch in the style of CARAVAGGIO
  output:
    url: >-
      examples/5.webp
- text: >-
    Man eating a donut sit on a chair, emphasize lights and shadows in the style of CARAVAGGIO
  output:
    url: >-
      examples/2.webp
- text: >-
    A cup of coffe on a table in the style of CARAVAGGIO
  output:
    url: >-
      examples/3.jpeg
- text: Medieval people dancing to music. Emphasize lights and shadows in the style of CARAVAGGIO
  output:
    url: >-
      examples/4.jpeg
- text: A man petting a dog, emphasize lights and shadows in the style of CARAVAGGIO
  output:
    url: >-
      examples/1.webp
- text: >-
    A man working on hid desk in the style of CARAVAGGIO
  output:
    url: >-
      examples/6.jpeg
---


  
# Flux Lora Caravaggio

<Gallery />

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)