Instructions to use model-hub-nd/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use model-hub-nd/test4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("model-hub-nd/test4", 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:
- e183d9c86995bf9330618e262bdcd058639ccdd97ba771495e54862dd57bd80a
- Size of remote file:
- 492 MB
- SHA256:
- efd767537e16d1e74e596ae2f125c96a6fc6156e9f2c941412f9f106dd35bbdd
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