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
| import torch.nn as nn | |
| def build_mlp_(hidden_size=640, projector_dim=1024, z_dim=768): | |
| return nn.Sequential( | |
| nn.Linear(hidden_size, projector_dim), | |
| nn.SiLU(), | |
| nn.Linear(projector_dim, projector_dim), | |
| nn.SiLU(), | |
| nn.Linear(projector_dim, z_dim), | |
| ) |