metadata
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
base_model: black-forest-labs/FLUX.1-schnell
pipeline_tag: text-to-image
instance_prompt: bad taxidermist style
library_name: diffusers
inference:
parameters:
width: 1024
height: 1024
widget:
- text: >-
This image is a simplified, TSTVCTR vector-style portrait of a person with
distinct cartoonish features. The man is wearing a gray hat and
black-framed glasses. He has a thick, neatly trimmed beard and mustache. A
playful touch is added by a small blue flower with a pink center placed
behind his right ear. His expression is neutral, with a hint of warmth in
his eyes and a faint smile. The background is a solid pale yellow,
providing a calm, minimalistic backdrop that contrasts with the bold, dark
colors of his beard and glasses. He is dressed in a simple green shirt,
which matches the clean, modern, and flat art style of the image. The
overall feel of the illustration is lighthearted and modern, with
geometric lines and a focus on smooth, flat shapes. The flower adds a fun
and quirky element to the otherwise calm and straightforward portrayal.
output:
url: images/example_wyd3vx781.png
- text: Eerie Grotesque octopus underwater. bad taxidermist style.
output:
url: images/example_tklxx9myf.png
- text: Eerie Grotesque dead woman underwater. bad taxidermist style.
output:
url: images/example_ttd02uquz.png
Flux Bad Taxidermist
Trigger words
You should use bad taxidermist style
to trigger the image generation.
Use it with the 𧨠diffusers library
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('lichorosario/flux-lora-bad-taxidermist', 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