Instructions to use Bootoshi/dankowanko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bootoshi/dankowanko with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bootoshi/dankowanko") prompt = "Wankomanko in the style of the simpsons, with springfield in the background, yellow text at the forefront below Wankomanko that says \"Wankfield\"" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
Wankomanko in the style of the simpsons, with springfield in the
background, yellow text at the forefront below Wankomanko that says
"Wankfield"
output:
url: images/wanko1png.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Wankomanko
license: apache-2.0
Danko Wanko

- Prompt
- Wankomanko in the style of the simpsons, with springfield in the background, yellow text at the forefront below Wankomanko that says "Wankfield"
Model description
GET IN LOSER WE'RE GOING TO THE MOON
Trigger words
You should use Wankomanko to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
