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: OTAKE
widget:
- text: >-
    A photo of a cartoon wolf OTAKE, sitting by a campfire roasting
    marshmallows. The wolf is wearing a green hoodie and has a relaxed, content
    expression.
  example_title: Campfire
  output:
    url: images/example_zkg8pbdty.png
- text: >-
    A photo of a cartoon wolf OTAKE, holding an umbrella in a rainy city street.
    The orange wolf wears a navy blue trench coat and looks thoughtful.
  example_title: Rainy Day
  output:
    url: images/example_08ws8ls5l.png
- text: >-
    A photo of a cartoon wolf OTAKE, leaping through the air with a basketball
    in hand. The orange wolf wears a red jersey and displays a determined
    expression.
  example_title: Basketball
  output:
    url: images/example_ccvco2fyt.png

---

# Flux Dev Otake

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `OTAKE` 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('tugan0329/flux-dev-otake', 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)