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:
- c574f081d9ddf32d5e449111070ea92767928a0f5a05e59f5d23a4e7659f2d9d
- Size of remote file:
- 4.48 GB
- SHA256:
- 871242e3810b8561b3b29fd9e04ec378fb5ba8ff18dc872bcb98e90e4faffe4a
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