Instructions to use InstantX/SD3-Controlnet-Depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/SD3-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("InstantX/SD3-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

- Xet hash:
- 104da95d03d10f1b7ec23acf1c59b201cc89901cf5556f1c5594b46b4a8467fc
- Size of remote file:
- 1.29 MB
- SHA256:
- 6feef3c4089e444ccc71bb2270247127d14a680baeb13e6352c51869a52c5338
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