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Awesome Pretrained StyleGAN2

A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution.

See this repo for pretrained models for StyleGAN 1

{% for model in models %} [![](content/{{ model.name | replace(" ", "%20") }}/thumbnail.jpg)](#{{ model.name | replace(" ", "-") | replace("(", "") | replace(")", "")}}){% endfor %}

If you have a publically accessible model which you know of, or would like to share please see the contributing section. Hint: the simplest way to submit a model is to fill in this form.

Table of Contents

  • Models {% for model in models %}
    • [{{ model.name }}](#{{ model.name | replace(" ", "-") | replace("(", "") | replace(")", "") }}){% endfor %}
  • Notes
  • Contributing

{% for model in models %}

{{ model.name }}

![](content/{{ model.name | replace(" ", "%20")}}/samples.jpg)

  • [Style mixing example](content/{{ model.name | replace(" ", "%20")}}/mixing.jpg), [interpolation video](content/{{ model.name | replace(" ", "%20")}}/interpolation.mp4)
  • Dataset: {{ model.dataset }}
  • Resolution: {{ model.resolution }} config: {{ model.config }}
  • Author: [{{ model.author }}]({{ model.author_url }})
  • [Download link]({{ model.download_url }})
  • StyleGAN2 implementation: {{ model.implementation }}{% if model.Notes %}
  • Notes: {{ model.Notes }}{% endif %}
  • Licence: {{ model.license }}
  • [Source]({{ model.source_url }})

{% endfor %}

Notes

  • The configuration "slim" refers to the reduced feature map model used in the Karras limited data and Zhao data efficient papers.
  • Each row in the sample grids above use a different level of trunction: 0.25, 0.5, 0.75, 1 from top to bottom.
  • Style mixing figure and interpolation video generated using truncation of 0.75

Contributing

TLDR: You can either edit the models.json file or fill out this form.

This readme is automatically generated using Jinja, please do not try and edit it directly. Information about the models is stored in models.json please add your model to this file. Preview images are generated automatically and the process is used to test the link so please only edit the json file.