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
| from ppd.utils.logger import Log | |
| from ppd.entrys import * | |
| def main(): | |
| from ppd.configs.config import cfg, args | |
| if Log.is_main_process(): | |
| Log.info('PPD: Pixel-Perfect Depth') | |
| separator = '\033[91m' + '-' * 80 + '\033[0m' | |
| experiment_info = f'\033[92mExperiment: \033[0m\033[94m{cfg.exp_name}\033[0m' | |
| print(f'{separator}\n{experiment_info}\n{separator}') | |
| globals()[args.entry](cfg) | |
| if __name__ == "__main__": | |
| main() | |