Tag

distillation

0 views collected around this technical thread.

Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Sep 19, 2024 · Artificial Intelligence

Target-Driven Distillation (TDD): A Multi‑Goal Distillation Method for Accelerating Diffusion Models

Target‑Driven Distillation (TDD) is a multi‑goal distillation method that flexibly selects short‑range target steps and decouples guidance during training, enabling 4‑to‑8‑step diffusion generation that preserves high‑resolution detail, works with LoRA, ControlNet, InstantID, and outperforms existing consistency distillation techniques in speed and quality.

AI accelerationdiffusion modelsdistillation
0 likes · 9 min read
Target-Driven Distillation (TDD): A Multi‑Goal Distillation Method for Accelerating Diffusion Models
Sohu Tech Products
Sohu Tech Products
May 21, 2024 · Artificial Intelligence

OPPO Multimodal Pretrained Model Deployment in Cloud-Edge Scenarios: Practices and Optimizations

OPPO details how it deploys multimodal pretrained models on resource‑constrained edge devices by compressing CLIP‑based image‑text retrieval, adapting Chinese text‑to‑image generation with LoRA and adapters, and lightweighting diffusion models through layer pruning and progressive distillation, achieving sub‑3‑second generation while preserving cloud‑level quality.

ClipLoRAOPPO
0 likes · 18 min read
OPPO Multimodal Pretrained Model Deployment in Cloud-Edge Scenarios: Practices and Optimizations
DataFunTalk
DataFunTalk
Apr 25, 2023 · Artificial Intelligence

DAMO-YOLO: An Efficient Target Detection Framework with NAS, Multi‑Scale Fusion, and Full‑Scale Distillation

This article introduces DAMO‑YOLO, a high‑performance object detection framework that combines low‑cost model customization via MAE‑NAS, an Efficient RepGFPN with HeavyNeck for superior multi‑scale detection, and a full‑scale distillation technique, delivering faster inference, lower FLOPs, and higher accuracy across diverse industrial scenarios.

NASYOLOcomputer vision
0 likes · 15 min read
DAMO-YOLO: An Efficient Target Detection Framework with NAS, Multi‑Scale Fusion, and Full‑Scale Distillation