RameenAbdal/StyleFlow

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2442 stars · 339 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

StyleFlow is a research implementation of attribute-conditioned exploration of StyleGAN-generated images using conditional continuous normalizing flows (ACM TOG 2021). It supports attribute-conditioned sampling and fine-grained, disentangled attribute-controlled editing of faces and cars in the StyleGAN latent space.

Use cases

• edit attributes of a StyleGAN-generated face like pose, expression, age, or gender
• perform sequential disentangled edits on GAN latent codes without unwanted attribute changes
• sample new images conditioned on target attributes in the StyleGAN latent space
• project real photographs into the StyleGAN latent space and edit them
• reproduce results from the ACM TOG 2021 StyleFlow paper
• explore the car latent space of StyleGAN with attribute controls

When to choose

• you need disentangled, attribute-controlled editing of StyleGAN latent codes
• you want a reference implementation of conditional continuous normalizing flows in GAN latent spaces
• you are doing research on GAN latent space exploration or controllable image synthesis

When to avoid

• you need a production-ready or actively maintained tool with a license
• you want to edit images without a StyleGAN2 setup including custom TensorFlow ops and CUDA
• you need support for modern GPU stacks, since the code targets PyTorch 1.1 and TensorFlow 1.15
• you want general-purpose image editing outside GAN latent spaces

Facets

library · maturity maintenance

machine-learning deep-learning image-processing data-science machine-learning computer-vision image-processing artificial-intelligence python stylegan normalizing-flows gan-latent-space face-editing research-code pytorch tensorflow disentangled-edits attribute-conditioned-sampling linux gpu

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markdown · JSON · MCP: product_card(name="RameenAbdal/StyleFlow")