Instructions to use treeshark/warpz.safetensors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use treeshark/warpz.safetensors 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("treeshark/warpz.safetensors") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Warpz

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Model description
This makes weird, warped images... yes, it will definitely mangle your anatomy... so seed hunting is needed. Mostly for faces, but it will warp other subjects as well. See examples for the effect. Strength needs to be quite high from 0.45 to 1.0
Trigger words
You should use no trigger to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for treeshark/warpz.safetensors
Base model
black-forest-labs/FLUX.1-dev