activity
20242026
most citedProgressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

2 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.LG2024★ 1 cited

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs

Chansung Park, Juyong Jiang, Fan Wang +2

The widespread adoption of cloud-based proprietary large language models (LLMs) has introduced significant challenges, including operational dependencies, privacy concerns, and the…

cs.CV2024

Margin-aware Preference Optimization for Aligning Diffusion Models without Reference

Jiwoo Hong, Sayak Paul, Noah Lee +3

Modern preference alignment methods, such as DPO, rely on divergence regularization to a reference model for training stability-but this creates a fundamental problem we call "refe…

cs.CV2024

DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models

Shyam Marjit, Harshit Singh, Nityanand Mathur +3

In the realm of subject-driven text-to-image (T2I) generative models, recent developments like DreamBooth and BLIP-Diffusion have led to impressive results yet encounter limitation…

cs.CV2024★ 1 cited

PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models

Junsong Chen, Yue Wu, Simian Luo +5

This technical report introduces PIXART-δ, a text-to-image synthesis framework that integrates the Latent Consistency Model (LCM) and ControlNet into the advanced PIXART-α model. P…

cs.CV2024★ 2 cited

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Yatharth Gupta, Vishnu V. Jaddipal, Harish Prabhala +2

Stable Diffusion XL (SDXL) has become the best open source text-to-image model (T2I) for its versatility and top-notch image quality. Efficiently addressing the computational deman…