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:
- 10b60468ce4b54ade4a88f3b7c6987d5cea716b4e1189b2aacb57d55a0dab6ed
- Size of remote file:
- 1.32 GB
- SHA256:
- 280741fd09bc3f403ccff9967784c2a391b52d2c0742ae3efdb21d9f90cc1a01
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