Instructions to use VHKE/warthog-ziwijn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/warthog-ziwijn 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("VHKE/warthog-ziwijn") prompt = "warthog ziwijn" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
warthog ziwijn
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- warthog ziwijn
Trigger words
You should use warthog ziwijn to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for VHKE/warthog-ziwijn
Base model
black-forest-labs/FLUX.1-dev