README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: Claude Monet's 1916 painting, Water Lilies, which is currently on display
        at the Metropolitan Museum of Art. The painting depicts a tranquil pond with
        water lilies floating on the surface, surrounded by lush green foliage and
        a variety of colorful flowers. The colors of the flowers range from bright
        pinks and purples to deep blues and greens, creating a peaceful and calming
        atmosphere. [trigger]
    output:
        url: samples/1732203998426__000001000_0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: claude monet
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
---

# claude-monet

"FLUX" Based!!!

<Gallery />

## Trigger words

You should use `claude monet` 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](/openfree/claude-monet/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('openfree/claude-monet', weight_name='claude-monet.safetensors')
image = pipeline('Claude Monet's 1916 painting, Water Lilies, which is currently on display at the Metropolitan Museum of Art. The painting depicts a tranquil pond with water lilies floating on the surface, surrounded by lush green foliage and a variety of colorful flowers. The colors of the flowers range from bright pinks and purples to deep blues and greens, creating a peaceful and calming atmosphere. [trigger]').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)