Instructions to use brenry/d4zz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brenry/d4zz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("brenry/d4z", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("brenry/d4zz") prompt = "d4z" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
d4zz

- Prompt
- d4z
Model description
d4z
Trigger words
You should use d4z 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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