Instructions to use model-hub-nd/test6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use model-hub-nd/test6 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/test6", 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:
- 7c761d3f29559887249c9e525128647ee6eb580bf28729b7f73053e158365545
- Size of remote file:
- 492 MB
- SHA256:
- 32bdea27270f44aafbcb8d05a53f1ae986913b3dad2c49e9da8b8a06c2763cdc
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