Instructions to use google/ddpm-bedroom-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/ddpm-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/ddpm-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:
- 069921c9836499b13a91b1eb0fdbfe4576ae1f5de437976f61bc4fabdf9f04fc
- Size of remote file:
- 455 MB
- SHA256:
- d0c4c246baad16eb12629b6a4d458fecf210483b76796e6fa9cd1756b217966a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.