---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A variety of steampunk animals next to each other steampunk_animals
  output:
    url: samples/1733330078665__000001000_0.jpg
- text: |-

    A copper-hued mechanical turtle steampunk_animals
  output:
    url: samples/1733330097004__000001000_1.jpg
- text: A steampunk-style praying mantis steampunk_animals
  output:
    url: samples/1733330115360__000001000_2.jpg
- text: A large, fully-sized steampunk-style Rhino steampunk_animals
  output:
    url: images/example_8idydafzl.png
- text: A steampunk-style copper cat in denim steampunk_animals
  output:
    url: images/example_3ds4lk1oj.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: steampunk_animals
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

---

# steampunkanimals
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `steampunk_animals` 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](/sohvren/steampunkanimals/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('sohvren/steampunkanimals', weight_name='steampunkanimals.safetensors')
image = pipeline('A variety of steampunk animals next to each other steampunk_animals').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)