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
File size: 464 Bytes
40a3ea8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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()
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