The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917335989747712 |
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| author | Pach, Mateusz Bader, Jessica Bouniot, Quentin Belongie, Serge Akata, Zeynep |
| author_facet | Pach, Mateusz Bader, Jessica Bouniot, Quentin Belongie, Serge Akata, Zeynep |
| contents | Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to limited understanding of how semantic information is encoded. We develop an interpretation of the color representation in the Variational Autoencoder latent space of FLUX.1 [Dev], revealing a structure reflecting Hue, Saturation, and Lightness. We verify our Latent Color Subspace (LCS) interpretation by demonstrating that it can both predict and explicitly control color, introducing a fully training-free method in FLUX based solely on closed-form latent-space manipulation. Code is available at https://github.com/ExplainableML/LCS. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_12261 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The Latent Color Subspace: Emergent Order in High-Dimensional Chaos Pach, Mateusz Bader, Jessica Bouniot, Quentin Belongie, Serge Akata, Zeynep Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to limited understanding of how semantic information is encoded. We develop an interpretation of the color representation in the Variational Autoencoder latent space of FLUX.1 [Dev], revealing a structure reflecting Hue, Saturation, and Lightness. We verify our Latent Color Subspace (LCS) interpretation by demonstrating that it can both predict and explicitly control color, introducing a fully training-free method in FLUX based solely on closed-form latent-space manipulation. Code is available at https://github.com/ExplainableML/LCS. |
| title | The Latent Color Subspace: Emergent Order in High-Dimensional Chaos |
| topic | Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.12261 |