---
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
base_model: "black-forest-labs/FLUX.1-dev"
pipeline_tag: text-to-image
instance_prompt: AQUACOLTOK
widget:
  - text: >-
      A painting of a mountain climber reaching the summit of a peak, with the word 'ASCEND' appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.
    output:
      url: images/ascend.webp
  - text: >-
      A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words "Destination Unknown" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.
    output:
      url: images/vintage.webp
  - text: >-
      A painting of a quaint, old-fashioned bookstore, with the words "Tales of Wonder" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.
    output:
      url: images/bookstore.webp
  - text: >-
      A painting of a person giving a TED talk on a TED stage with the TED logo, "the speaker". In a watercolor style, AQUACOLTOK.
    output:
      url: images/ted.webp
  - text: >-
      A painting of a barista creating an intricate latte art design, with the "Coffee Creations" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.
    output:
      url: images/coffee.webp
---

<Gallery />

# Works best with the template:
```
A painting of ... In a watercolor style, AQUACOLTOK. White background.
```

# Flux_Lora_Aquarel_Watercolor

Trained on Replicate using:

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


## Trigger words
You should use `AQUACOLTOK` 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('SebastianBodza/flux_lora_aquarel_watercolor', 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)