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
| #### pretrain on the Hypersim dataset at 512x512 resolution | |
| python main.py --cfg_file ppd/configs/train_pretrain.yaml pl_trainer.devices=8 | |
| # #### finetune on five mixed datasets at 1024x768 resolution | |
| # python main.py --cfg_file ppd/configs/train_finetune.yaml pl_trainer.devices=8 | |