Instructions to use valhalla/zoe-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use valhalla/zoe-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("valhalla/zoe-depth", 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:
- 28805ec96fa843781ff7688fc1e08d5f193d410e5a814dcf6ca2aae70d78a0cf
- Size of remote file:
- 5 GB
- SHA256:
- 63b9e6517ccb5b33a52d32883e178cdeb8e61b2cdad821f093f3cc8bf113cd59
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