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:
- 6ebcdd2a9309fbafbfb4980d35f1eb7d1e5998348aee59421db3d9fd393bba25
- Size of remote file:
- 490 MB
- SHA256:
- 4ef8e608ccc456c76b813f349b2011024d1a490034c1960884208fc9fb67865d
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