Instructions to use microsoft/mri-autoencoder-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/mri-autoencoder-v0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/mri-autoencoder-v0.1", 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
Loss function
#3
by Yang-SUN - opened
Hello,
Thank you for sharing this excellent model with the community!
Could you provide a few more details about the training process? I am particularly interested in learning about the specific loss function you used.
Any additional insights or pointers to documentation would be greatly appreciated.
Best regards,
Yang