This model is a very lightweight UNet2D trained on the MNIST dataset.
This model is unconditional, meaning that you cannot pick which number you'd like to generate.
This model was trained in ~40min on an L4 GPU Google Colab instance. You can see the training logs in the
Training metrics
tab.
ddpm-mnist huggingface.co is an AI model on huggingface.co that provides ddpm-mnist's model effect (), which can be used instantly with this 1aurent ddpm-mnist model. huggingface.co supports a free trial of the ddpm-mnist model, and also provides paid use of the ddpm-mnist. Support call ddpm-mnist model through api, including Node.js, Python, http.
ddpm-mnist huggingface.co is an online trial and call api platform, which integrates ddpm-mnist's modeling effects, including api services, and provides a free online trial of ddpm-mnist, you can try ddpm-mnist online for free by clicking the link below.
1aurent ddpm-mnist online free url in huggingface.co:
ddpm-mnist is an open source model from GitHub that offers a free installation service, and any user can find ddpm-mnist on GitHub to install. At the same time, huggingface.co provides the effect of ddpm-mnist install, users can directly use ddpm-mnist installed effect in huggingface.co for debugging and trial. It also supports api for free installation.