EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

MIPAL-SNU · Advanced ·🎨 Image & Video AI ·2y ago

About this lesson

ICLR 2024에 spotlight로 accept된 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models논문입니다.

Original Description

ICLR 2024에 spotlight로 accept된 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models논문입니다.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
I Tried to Replace My Image Workflow with an AI Photo Generator. Three Times It Failed. Once It Didn't.
Learn from an experiment replacing an image workflow with an AI photo generator, and discover the challenges and one success story
Dev.to AI
📰
The Best Free AI Image Generators Better Than ChatGPT and Gemini
Discover free AI image generators that outperform ChatGPT and Gemini for specific workflows, offering superior photorealism and graphic design capabilities
Dev.to AI
📰
50+ Sequential Images, One Prompt in Codex
Learn to generate sequential images with Codex using a single prompt and understand the limitations of this approach
Medium · ChatGPT
📰
How can I batch-generate 3D assets from prompts or images using an API, and which 3D generation APIs support batch generation?
Learn to batch-generate 3D assets from prompts or images using APIs for efficient pipeline creation
Reddit r/artificial
Up next
Logo Animations with AI 🤩 your Brand / Shop Promotions with AI 🚀 AI Videos Free #ai #aivideo
Raj Photo Editing and Much More
Watch →