One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers

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References (61)

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ToMA: Token Merge with Attention for Diffusion Models
2025Wenbo Lu, Shaoyi Zheng et al.
[2]
Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
2025Chubin Chen, Jiashu Zhu et al.
[3]
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2025Moayed Haji-Ali, W. Menapace et al.
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2025Mahtab Alizadeh Vandchali, Fangshuo Liao et al.
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2025Shuo Yang, Haocheng Xi et al.
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2025Yan Li, Changyao Tian et al.
[10]
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2025Haipeng Fang, Sheng Tang et al.
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2025Shuai Wang, Zhichao Tian et al.
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2025Ang Wang, Baole Ai et al.
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2025Sotiris Anagnostidis, Gregor Bachmann et al.
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2025Roman Bachmann, Jesse Allardice et al.
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2025Ziming Liu, Yifan Yang et al.
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2025Dongyang Liu, Shicheng Li et al.
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Showing 20 of 61 references

Founder's Pitch

"ELIT enhances diffusion transformers by optimizing compute allocation through a dynamic latent interface."

Diffusion ModelsScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

4/4 signals

10

Series A Potential

3/4 signals

7.5

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