Instructions to use holwech/Depth-Anything-Controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use holwech/Depth-Anything-Controlnet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("holwech/Depth-Anything-Controlnet", torch_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
Add float32 version
Browse files
diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc27360a3e6906e5ddd8f618e2dcde11362327361918b8f76793e42e25de31b3
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size 1341322868
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