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
- Xet hash:
- b7e0773aaee3c75947075d890e5cbc2a3533d984300a5a87cafd16b27c0a2ca8
- Size of remote file:
- 19.4 GB
- SHA256:
- 4fdd9f3db6bdb7ed7fd698e1c8fb8366722b811da4e42fe252b9d596ce430ef0
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