Instructions to use fusing/sd-depth-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/sd-depth-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/sd-depth-test", 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:
- 1465993e739c898547c3179d0fff5b24b7648e4d74837824124da7c714173ecc
- Size of remote file:
- 3.46 GB
- SHA256:
- 8564f86e7f6c919cd53e5782c8920c3720cdeb44e12c8e38dd956825183c959c
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