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LoRA

135 articles · Page 2 of 2
DaTaobao Tech
DaTaobao Tech
Jun 3, 2024 · Artificial Intelligence

Transforming Interior Design: AIGC’s Text‑to‑Image, Lora, and IP‑Adapter Techniques

This article explains how AI‑generated content (AIGC) technologies such as text‑to‑image diffusion models, Lora fine‑tuning, and IP‑Adapter style transfer are applied to interior design, dramatically reducing design time, cutting costs, and enabling personalized, high‑quality visualizations for both consumers and furniture merchants.

AIGCIP-AdapterLoRA
0 likes · 9 min read
Transforming Interior Design: AIGC’s Text‑to‑Image, Lora, and IP‑Adapter Techniques
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.

CLIPEdge DeploymentLoRA
0 likes · 18 min read
OPPO Multimodal Pretrained Model Deployment in Cloud-Edge Scenarios: Practices and Optimizations
Baobao Algorithm Notes
Baobao Algorithm Notes
May 5, 2024 · Artificial Intelligence

Deep Dive into Transformer Mechanics: Scaling, Q/K Projections, FFNs, and More

This article provides concise technical explanations for 25 common questions about Transformer models, covering scaled dot‑product attention scaling, separate Q/K projections, feed‑forward network design, attention variants, normalization, LoRA versus full‑parameter training, KV‑cache, pre‑ and post‑norm, computational cost analysis, and advanced position‑encoding techniques.

LLMLoRATransformer
0 likes · 25 min read
Deep Dive into Transformer Mechanics: Scaling, Q/K Projections, FFNs, and More
Baidu MEUX
Baidu MEUX
Apr 17, 2024 · Artificial Intelligence

How AI‑Powered Design Revives China’s 24 Solar Terms in a New‑Chinese Style

Leveraging AI image generation and LoRA model fine‑tuning, Baidu’s MEUX team reimagined the traditional 24 solar‑term cards in a fresh New‑Chinese aesthetic, blending cultural heritage, artistic composition, and modern visual effects to boost design efficiency and create a cohesive brand experience.

24 solar termsAI designBaidu
0 likes · 9 min read
How AI‑Powered Design Revives China’s 24 Solar Terms in a New‑Chinese Style
OPPO Kernel Craftsman
OPPO Kernel Craftsman
Mar 29, 2024 · Artificial Intelligence

InternLM Model Research and XTuner Practical Guide (Part 1): DataLoader, Model Conversion, Merging, and Inference

The guide walks through fine‑tuning InternLM‑Chat‑7B with XTuner, showing how to build a DataLoader from a HuggingFace Dataset, convert a LoRA .pth checkpoint to HuggingFace format, merge the adapter into the base model, run inference, and adapt the process for custom datasets and 4‑bit quantization experiments.

DataLoaderFineTuningInternLM
0 likes · 27 min read
InternLM Model Research and XTuner Practical Guide (Part 1): DataLoader, Model Conversion, Merging, and Inference
DaTaobao Tech
DaTaobao Tech
Mar 6, 2024 · Artificial Intelligence

AI Clothing Graffiti Project: Implementation and Optimization of AIGC Technology in Taobao Life 2

The AI Clothing Graffiti Project in Taobao Life 2 leverages Stable Diffusion, ControlNet, and LoRA to let users generate and stylize clothing designs via text‑image prompts, employing parallel processing, face repair, and content filtering, and has launched successfully, inviting algorithm engineers to join the team.

AIAIGCControlNet
0 likes · 14 min read
AI Clothing Graffiti Project: Implementation and Optimization of AIGC Technology in Taobao Life 2
NewBeeNLP
NewBeeNLP
Feb 22, 2024 · Artificial Intelligence

Practical Tips for CPT, SFT, and LoRA in Large Language Model Fine‑Tuning

This article shares hands‑on guidance on using continual pre‑training (CPT), supervised fine‑tuning (SFT), and LoRA adapters for large language models, covering dataset size requirements, learning‑rate scheduling, warm‑up ratios, epoch strategies, and practical routing choices based on real‑world experiments.

CPTLLM fine-tuningLoRA
0 likes · 12 min read
Practical Tips for CPT, SFT, and LoRA in Large Language Model Fine‑Tuning
Ximalaya Technology Team
Ximalaya Technology Team
Feb 1, 2024 · Artificial Intelligence

Understanding AI Image Generation: Diffusion Models, CLIP, and Control Techniques

This guide explains how AI image generators such as Stable Diffusion and DALL·E 3 turn text prompts into pictures by using diffusion models, CLIP‑aligned embeddings, and optional controls like negative prompts, fine‑tuned LoRA checkpoints and ControlNet conditioning, highlighting their differences, workflow, and practical customization.

AI image generationCLIPControlNet
0 likes · 18 min read
Understanding AI Image Generation: Diffusion Models, CLIP, and Control Techniques
Open Source Tech Hub
Open Source Tech Hub
Jan 26, 2024 · Fundamentals

How Smaz2 Compresses LoRa Messages on Tiny Devices

This article explains the motivation, dictionary design, bigram table, encoding rules, and real‑world compression results of the Smaz2 library, a space‑optimized C/Python compressor for short LoRa messages on microcontrollers with less than 2 KB RAM.

C++LoRAPython
0 likes · 8 min read
How Smaz2 Compresses LoRa Messages on Tiny Devices
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Jan 21, 2024 · Artificial Intelligence

Understanding Pretraining and Fine‑Tuning of Large Language Models: Methods, Resources, and Practical Applications

This article explains the concepts of pretraining and fine‑tuning for large language models, compares full‑parameter, LoRA and QLoRA approaches, discusses resource consumption, introduces the ModelScope SWIFT framework with code examples, and shows how fine‑tuning can improve data‑visualisation tasks while reducing token usage.

Data VisualizationLLMLoRA
0 likes · 24 min read
Understanding Pretraining and Fine‑Tuning of Large Language Models: Methods, Resources, and Practical Applications
Baidu MEUX
Baidu MEUX
Jan 3, 2024 · Artificial Intelligence

Mastering AI‑Generated Brand Symbol Posters with Stable Diffusion

This article walks through a complete methodology for creating brand symbol posters using AI, covering basic and advanced Stable Diffusion techniques such as ControlNet, depth‑map generation, semantic segmentation, LoRA integration, and post‑processing to achieve high‑quality, efficient visual assets.

AI image generationControlNetDepth map
0 likes · 10 min read
Mastering AI‑Generated Brand Symbol Posters with Stable Diffusion
58UXD
58UXD
Dec 1, 2023 · Artificial Intelligence

How AI‑Powered LoRA Techniques Supercharged a September Recruitment Campaign Design

This article details how 58.com’s design team leveraged AI tools such as Stable Diffusion, LoRA models, and prompt engineering to create a visually rich September recruitment landing page, outlining the project background, design strategy, technical exploration, and measurable results.

AI designLoRAPrompt Engineering
0 likes · 6 min read
How AI‑Powered LoRA Techniques Supercharged a September Recruitment Campaign Design
Zhixing ZXD Design Center
Zhixing ZXD Design Center
Nov 27, 2023 · Artificial Intelligence

Boost Marketing Design with AI: Stable Diffusion & Runway GEN‑2 Case Studies

Explore how AI tools like Stable Diffusion and Runway GEN‑2 can accelerate marketing design workflows, from converting 2D sketches to 3D assets, generating dynamic video posters, training custom LoRA models for travel backgrounds, and creating personalized avatar styles, with step‑by‑step case studies and practical tips.

3D backgroundAI ToolsLoRA
0 likes · 8 min read
Boost Marketing Design with AI: Stable Diffusion & Runway GEN‑2 Case Studies
DataFunSummit
DataFunSummit
Nov 13, 2023 · Artificial Intelligence

SWIFT: A Scalable Light‑Weight Training and Inference Framework for Efficient Model Fine‑Tuning

SWIFT is an open‑source, PyTorch‑based framework that integrates multiple efficient fine‑tuning methods such as LoRA, QLoRA, Adapter, and the proprietary ResTuning, enabling developers to fine‑tune large language and multimodal models on consumer‑grade GPUs with significantly reduced memory and compute requirements.

Fine-tuningLoRAModelScope
0 likes · 13 min read
SWIFT: A Scalable Light‑Weight Training and Inference Framework for Efficient Model Fine‑Tuning
UCloud Tech
UCloud Tech
Oct 13, 2023 · Artificial Intelligence

How PEFT Transforms Large Model Fine‑Tuning: Additive, Prompt & LoRA Methods Explained

This article introduces parameter‑efficient fine‑tuning (PEFT) techniques—including additive adapters, soft‑prompt methods, selection‑based BitFit, and re‑parameterization approaches like LoRA and AdaLoRA—explains their architectures, experimental results, and provides end‑to‑end code for fine‑tuning ChatGLM2‑6B on a Chinese medical QA dataset.

AdaLoRALoRAPEFT
0 likes · 22 min read
How PEFT Transforms Large Model Fine‑Tuning: Additive, Prompt & LoRA Methods Explained
Continuous Delivery 2.0
Continuous Delivery 2.0
Sep 7, 2023 · Artificial Intelligence

Google’s Internal Memo: “We Have No Moat, Neither Does OpenAI” – The Rise of Open‑Source AI

A leaked Google internal document titled “We have no moat, OpenAI also has none” reveals that both companies are losing the AI arms race to rapidly advancing open‑source models, which achieve comparable performance at a fraction of the cost, prompting a strategic rethink for Google.

AIGoogleLarge Language Models
0 likes · 16 min read
Google’s Internal Memo: “We Have No Moat, Neither Does OpenAI” – The Rise of Open‑Source AI
DaTaobao Tech
DaTaobao Tech
Sep 1, 2023 · Artificial Intelligence

Research on Virtual Clothing Try-On Using Stable Diffusion and LoRA

This study evaluates virtual clothing try‑on by fine‑tuning LoRA models on a handful of garment images and integrating Stable Diffusion with ControlNet, Inpainting, and Segment Anything, showing that the AI‑generated pipeline matches or exceeds traditional geometric‑matching VTON in visual fidelity, especially for upper‑body apparel, while running locally on an RTX 3060.

AIControlNetFashion Generation
0 likes · 9 min read
Research on Virtual Clothing Try-On Using Stable Diffusion and LoRA
37 Interactive Technology Team
37 Interactive Technology Team
Aug 23, 2023 · Artificial Intelligence

LoRA Model Training Guide for Stable Diffusion: Comparison, Workflow, and Tips

This guide compares Stable Diffusion fine‑tuning methods, shows why LoRA offers the best size‑and‑speed trade‑off, and provides a step‑by‑step workflow—from dataset collection and preprocessing to parameter tuning, 20‑minute training on a single GPU, and practical tips for successful custom model generation.

AI artDreamBoothLoRA
0 likes · 9 min read
LoRA Model Training Guide for Stable Diffusion: Comparison, Workflow, and Tips
DaTaobao Tech
DaTaobao Tech
Aug 11, 2023 · Artificial Intelligence

Practical Guide to Stable Diffusion WebUI: Prompt Engineering, LoRA, VAE, and ControlNet

This practical guide walks users through installing Stable Diffusion WebUI, explains the differences between base, LoRA, VAE, and ControlNet models, shows how to derive prompts with CLIP or DeepBooru, and provides detailed text‑to‑image and image‑to‑image examples for effective prompt engineering.

AI image generationControlNetLoRA
0 likes · 12 min read
Practical Guide to Stable Diffusion WebUI: Prompt Engineering, LoRA, VAE, and ControlNet
JD Tech
JD Tech
Jul 31, 2023 · Artificial Intelligence

Local Deployment, Fine‑tuning, and Inference of the Open‑source Alpaca‑LoRA Model on GPU Servers

This article details the step‑by‑step process of installing GPU drivers, setting up a Python environment, deploying the open‑source Alpaca‑LoRA large language model, fine‑tuning it with Chinese data on a multi‑GPU server, and running inference, while discussing practical challenges and performance observations.

AlpacaFine-tuningGPU
0 likes · 14 min read
Local Deployment, Fine‑tuning, and Inference of the Open‑source Alpaca‑LoRA Model on GPU Servers
DeWu Technology
DeWu Technology
Jul 5, 2023 · Artificial Intelligence

Fine-tuning Large Language Models with LoRA/QLoRA and Deploying via GPTQ Quantization on KubeAI

The article explains how LoRA and its 4‑bit QLoRA extension dramatically reduce trainable parameters and GPU memory for fine‑tuning large language models, while GPTQ post‑training quantization compresses weights for cheap inference, and shows how KubeAI integrates these techniques into a one‑click workflow for 7 B, 13 B, and 33 B models from data upload to API deployment.

GPTQKubeAILarge Language Models
0 likes · 13 min read
Fine-tuning Large Language Models with LoRA/QLoRA and Deploying via GPTQ Quantization on KubeAI
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 30, 2023 · Artificial Intelligence

Boost Stable Diffusion Inference with PAI-Blade: LoRA & ControlNet Optimization

This article explains how to use PAI-Blade to accelerate Stable Diffusion inference by optimizing LoRA and ControlNet components, detailing configuration steps, code modifications, benchmark results on A100/A10 GPUs, and integration with both Diffusers and the popular Stable-Diffusion-webui, highlighting performance gains and memory savings.

ControlNetGPU BenchmarkLoRA
0 likes · 8 min read
Boost Stable Diffusion Inference with PAI-Blade: LoRA & ControlNet Optimization
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
May 26, 2023 · Artificial Intelligence

Unlock High‑Quality Chinese Image Generation with PAI‑Diffusion: New Features & Fine‑Tuning Guide

This article introduces the upgraded PAI‑Diffusion Chinese models, highlighting major improvements in image quality and style diversity, detailing lightweight fine‑tuning methods such as LoRA and Textual Inversion, showcasing controllable editing, scenario‑specific customization, and providing step‑by‑step usage instructions on popular platforms.

AILoRATextual Inversion
0 likes · 14 min read
Unlock High‑Quality Chinese Image Generation with PAI‑Diffusion: New Features & Fine‑Tuning Guide
Programmer DD
Programmer DD
May 6, 2023 · Artificial Intelligence

Can Open‑Source LLMs Overtake Google and OpenAI in the AI Arms Race?

An analysis of a leaked Google internal document reveals how open‑source large language models, low‑cost fine‑tuning techniques like LoRA, and rapid community innovation are reshaping the AI competition, challenging the dominance of both Google and OpenAI and prompting a strategic rethink.

AI StrategyAI competitionGoogle
0 likes · 15 min read
Can Open‑Source LLMs Overtake Google and OpenAI in the AI Arms Race?
Tencent Cloud Developer
Tencent Cloud Developer
Apr 10, 2023 · Artificial Intelligence

How Computers Generate Realistic Images: An In‑Depth Guide to AI Image Generation, Diffusion Models, ControlNet, LoRA and More

This guide explains how AI creates photorealistic images, tracing the shift from VAEs and GANs to diffusion models, detailing latent diffusion, ControlNet conditioning, CLIP text‑image alignment, and lightweight fine‑tuning methods like DreamBooth and LoRA, plus practical tips for higher‑resolution results.

AI image generationControlNetLoRA
0 likes · 22 min read
How Computers Generate Realistic Images: An In‑Depth Guide to AI Image Generation, Diffusion Models, ControlNet, LoRA and More
Tencent Cloud Developer
Tencent Cloud Developer
May 19, 2020 · Cloud Computing

Design and Architecture of a Distributed Atmospheric Monitoring System

Tencent’s rapid‑deployment project creates a volunteer‑hosted, low‑cost atmospheric monitoring network using LoRa, NB‑IoT and Wi‑Fi, with edge‑agnostic data collection, cloud‑based device normalization, and business processing modules that manage devices, analyze PM2.5 sensor data, and visualize real‑time air quality across five community sites.

Atmospheric MonitoringCloud ComputingData Collection
0 likes · 10 min read
Design and Architecture of a Distributed Atmospheric Monitoring System
Tencent Cloud Developer
Tencent Cloud Developer
Apr 17, 2020 · Cloud Computing

LoRa‑Based Environmental Monitoring and Control for Data Center Using TencentOS Tiny

The article describes a complete LoRa‑based environmental monitoring and control system for data centers, built on TencentOS Tiny and featuring a LoRa gateway, sensor‑rich node, LCD display, relay and LED modules, cloud integration via Tencent Cloud IoT Explorer, and a WeChat mini‑program for remote management.

Data Center MonitoringIoTLoRA
0 likes · 12 min read
LoRa‑Based Environmental Monitoring and Control for Data Center Using TencentOS Tiny