"I want an image of me riding a unicorn" – is now here. In this course we fine-tune the amazing Flux open-source image generation AI model.
To make this happen, we use Replicate’s AI services to train and fine-tune Flux with our data. You can upload about 12 images of yourself and automagically have an AI tool like Midjourney with your data. It’s incredible. The best part? It costs about $3 USD to fine-tune this model then about $0.05 to generate images with it using Replicate’s GPUs.
Once you have a fine-tuned model, we need a reliable way to access it without racking up bills. Enter FastAPI. We create our own API service that we can call at anytime to generate our images. I’m shocked how good image generation is with our own data!
Topics include:
– Compressing and optimizing images
– Creating zip files from local folders
– Building a FastAPI Microservice
– Implementing Rate Limiting with Upstash Redis
– Creating a Proxy Service for your custom fine-tuned Flux AI Model
– Generating new images with your face via text prompts
– Watch the first few seconds to see 100% fully generated images from the model I build in this course.
– and more
🚀 Thanks to Upstash for sponsoring this course! Sign up right now on https://www.upstash.com/?utm_source=cfe!
🖥️ Code: https://github.com/codingforentrepreneurs/super-me-photo-ai-api
🤖 AI Service: Replicate.com
🦾 Model used to fine-tune: https://replicate.com/ostris/flux-dev-lora-trainer/train
Chapters
00:00:00 Welcome
00:02:39 Demo
00:05:14 Setup Environment
00:07:28 Image Dataset to Zip File Basics
00:17:11 Validate Images to Dataset Zip File
00:22:55 Optimize Images to Dataset Zip File
00:30:08 Train and Customize Flux for our Image Dataset
00:35:51 Generate Images from Custom Model
00:47:25 Generate Images with a Reference Photo
00:50:35 Background Trigger for Async Replicate Generation
00:57:44 Hello FastAPI Miroservice
01:02:16 Helper Functions for FastAPI & Replicate
01:08:52 FastAPI Generate Function Endpoint
01:13:09 Call Our Proxy Generate Function
01:16:57 Rate Limit API Requests with Upstash Redis
01:27:09 Customize the FastAPI Rate Limiter
01:31:10 Require Custom API Key for FastAPI Requests
01:37:13 Rate Limit Helper Module
01:39:29 List Prediction Results from Image Generation
01:55:12 Prediction Result Detail View
02:02:36 Output Index Pattern
02:12:23 Prediction Detail Output with Pydantic Models
02:24:38 Stream Generated Images Endpoint
02:32:17 Store Streaming Images
02:42:19 Schema-First Responses for Replicate API
02:51:07 Thank you
https://www.youtube.com/watch?v=lV82LDKT16A
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