Instructions to use cuongdev/haizzzz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/haizzzz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/haizzzz", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 431b443ba6c1bd53823dd16d80b4a27659495617aea31cab63856960f29cd242
- Size of remote file:
- 681 MB
- SHA256:
- b3592f8430d66184be69efe6e30061055bf266c01c508636a4a4de7363794d60
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