Instructions to use zeyuren2002/EvalMDE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zeyuren2002/EvalMDE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zeyuren2002/EvalMDE", 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
Ctrl+K
- Depth-Anything-3
- Depth-Anything-V2
- DepthMaster
- Edit2Perceive
- FE2E
- Lotus-2
- Lotus
- Marigold
- Pixel-Perfect-Depth
- baselines
- data
- eval_scripts
- evalmde.egg-info
- evalmde
- images
- ml-depth-pro
- output
- sample_data
- sample_data_2
- scripts
- test
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