✨SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder

📝 Summary:
SVG-T2I enables high-quality text-to-image synthesis directly in the Visual Foundation Model feature domain. This scaled framework achieves competitive performance without a variational autoencoder, validating VFM representations for generative tasks.

🔹 Publication Date: Published on Dec 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.11749
• PDF: https://arxiv.org/pdf/2512.11749
• Github: https://github.com/KlingTeam/SVG-T2I

🔹 Models citing this paper:
• https://huggingface.co/KlingTeam/SVG-T2I

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#TextToImage #DiffusionModels #GenerativeAI #VisualFoundationModels #DeepLearning