Instructions to use timlenardo/controlnet_depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timlenardo/controlnet_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("timlenardo/controlnet_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
File size: 135 Bytes
7ef9bf4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2a74732cd1fac0ea5be714354f9dff7cbf25469488f4777a2857282857d88c66
size 1445157120
|