MAM-E weights
Collection
This collection contains the weights of several experiments of the MAM-E project
•
6 items
•
Updated
This is a latent diffusion model for generation of mammograms with size 64x64 in the latent space. It was trained with 4K images in the latent space (10% of the original dataset) for 50 epochs. Images in the latent space have size (4,64,64) and can generate images of 512x512 when decoded using the VAE.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained({hub_model_id})
image = pipeline().images[0]
image
- Downloads last month
- 5
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support