metadata
license: mit
Adversarial Flow Models
This repository contains the official checkpoins of the paper Adversarial Flow Models.
Adversarial Flow Models is a class of generative models that unifies Adversarial Models and Flow Models. This repo contains the pretrained ImageNet-256px models in the paper experiment section.
Usage
Code and instructions are available in the ByteDance-Seed/Adversarial-Flow-Models repository.
Content
models/contains pre-trained ImageNet256px checkpoints.eval/contains pre-generated 50k samples for evaluations following ADM npz format.misc/contains VAE and other checkpoints used in training.