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
Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +20 -0
- output/infinigen_all/da3_mono/indoor__slow_solve-long_focal-2025-05-15-20-20-24___4b9fa87a/pred_depth.npz +3 -0
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- output/infinigen_all/fe2e/indoor__slow_solve-long_focal-2025-09-06-16-04-16___6c773f46/pred_depth.npz +3 -0
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