Instructions to use Bootoshi/apuWankoE15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bootoshi/apuWankoE15 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/apuWankoE15") prompt = "onhx furry with its mouth open and head tilted back" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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/apuWankoE15")
prompt = "onhx furry with its mouth open and head tilted back"
image = pipe(prompt).images[0]apu wanko

- Prompt
- onhx furry with its mouth open and head tilted back
Trigger words
You should use onhx furry to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Bootoshi/apuWankoE15
Base model
black-forest-labs/FLUX.1-dev