Finding and using AI models

Finding and using AI models

The Key Players and Their Roles

Hugging Face

Role: The central library and community hub for AI models

  • Where most open-source models are stored and shared

  • Provides model documentation and examples

  • Allows you to search for models by task (image generation, text, etc.)

  • Can download models for local use, but not optimized for production hosting

Replicate

Role: The deployment layer that makes models accessible via simple APIs

  • Hosts pre-trained models with easy API access

  • No server management required

  • Pay-per-use pricing with a free tier

  • Great for experimentation and small-scale projects

  • Ideal for image generation and text models

Fal.ai

Role: The performance specialist for media processing

  • Optimized for low-latency media generation (images, video)

  • Faster response times than general platforms

  • Specialized in real-time applications

  • Best choice for image-to-video conversion and animation

Together AI

Role: Enterprise-grade model hosting with high performance

  • Hosts 200+ open-source LLMs with low latency

  • More cost-effective for high-volume usage than OpenAI

  • Designed for production applications requiring scale

  • Focuses on text generation models (LLMs)

Practical Decision Guide

I need to find a specific type of model: → Start with Hugging Face to search and browse models

I want to quickly test models without infrastructure headaches: → Use Replicate's API (great free tier, easy to start)

I'm building a media-heavy application needing low latency: → Choose Fal.ai for image/video generation

I need production-grade LLM deployment at scale: → Consider Together AI for text models