Instructions to use Bootoshi/Wankomanko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bootoshi/Wankomanko 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/Wankomanko") prompt = "Wankomanko looking at the viewer wearing a green hoodie with a grey shirt underneath. She is blushing with a red heart bubble coming from the top of her head" 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 looking at the viewer wearing a green hoodie with a grey shirt
underneath. She is blushing with a red heart bubble coming from the top of
her head
output:
url: images/image4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Wankomanko
license: apache-2.0
Wanko Manko

- Prompt
- Wankomanko looking at the viewer wearing a green hoodie with a grey shirt underneath. She is blushing with a red heart bubble coming from the top of her head
Model description
Wankomanko general, more anime-fied version
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.