metadata

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

Prompt
A copper-hued mechanical turtle steampunk_animals

Prompt
A steampunk-style praying mantis steampunk_animals

Prompt
A large, fully-sized steampunk-style Rhino steampunk_animals

Prompt
A steampunk-style copper cat in denim steampunk_animals

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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