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:
- c2af3f1f72681c1e3155520f4c4ef1fdd6689b617349d67b70aea5f0629ce700
- Size of remote file:
- 4.48 GB
- SHA256:
- 83429385d1093975a77983c4e7f0ed9ee09bd105d3291cb16aa463f20aa2f472
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