| | --- |
| | license: mit |
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| | |
| | # Adversarial Flow Models |
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| | This repository contains the official checkpoins of the paper [Adversarial Flow Models](https://www.arxiv.org/abs/2511.22475). |
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| | 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. |
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| | ## Usage |
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| | Code and instructions are available in the [ByteDance-Seed/Adversarial-Flow-Models](https://github.com/ByteDance-Seed/Adversarial-Flow-Models) repository. |
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| | ## 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. |
