Instructions to use google/ncsnpp-bedroom-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/ncsnpp-bedroom-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/ncsnpp-bedroom-256", 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
- Xet hash:
- e147902b74f9bb03fbce886f4c2fb6967840a14c429a468291557adc6f030615
- Size of remote file:
- 263 MB
- SHA256:
- 2077c1bad976dffa6fc5b00cc70a55c350893027e5bf8216c4fd3a1ca566c2f4
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