A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.
High-resolution image synthesis with latent diffusion models
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ABSS ranks diffusion seeds by early cross-attention strength to prompt core tokens and retains only the top-k for full generation, yielding consistent gains in alignment and quality on Stable Diffusion variants.
ChatImage renders LLM answers as images, then uses visual grounding to place clickable hotspots on rendered regions for interactive follow-up.
citing papers explorer
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Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.
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Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
ABSS ranks diffusion seeds by early cross-attention strength to prompt core tokens and retains only the top-k for full generation, yielding consistent gains in alignment and quality on Stable Diffusion variants.
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ChatImage: Navigating Long-Form LLM Answers through Interactive Images
ChatImage renders LLM answers as images, then uses visual grounding to place clickable hotspots on rendered regions for interactive follow-up.