metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: Four different steampunk animals next to each other steampunk_animals
output:
url: samples/1733407221646__000001000_0.jpg
- text: A gleaming, mechanical, steampunk-style elephant steampunk_animals
output:
url: samples/1733407240191__000001000_1.jpg
- text: An intricate, steampunk-style praying mantis steampunk_animals
output:
url: samples/1733407258755__000001000_2.jpg
- text: >-
A large, fully-sized Rhino (Rhinoceros) with a sharp copper horn, pictured
from afar in the African savannah steampunk_animals
output:
url: images/example_uhc2nwmf3.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
steampunkanimalsfp8
Model trained with AI Toolkit by Ostris
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/steampunkanimalsfp8', weight_name='steampunkanimalsfp8.safetensors')
image = pipeline('Four different 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