Instructions to use Zw3e/chonkyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zw3e/chonkyAI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Zw3e/chonkyAI") prompt = "chonky looking up, smilling, confident" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Chonky

- Prompt
- chonky looking up, smilling, confident
Trigger words
You should use chonky 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 Zw3e/chonkyAI
Base model
stabilityai/stable-diffusion-3.5-large