Instant DRAWING to IMAGE DIFFUSION with tldraw Draw Fast - Creative AI & Coding with Nono · Live 115

Подписаться 3,5 тыс.

50% 1

Nono plays with tldraw's 'Draw Fast' experiment, which turns freehand scribbles and shapes into realistic images using the Optimized Latent Consistency (Stable Diffusion v1.5) machine learning model through fal.ai's API.
Thanks to the tldraw team for open-sourcing this experiment. ❤️
Live streams on Creative AI & Coding with Nono Martínez Alonso.
==================
LINKS
==================
- Draw Fast Page (Ended) drawfast.tldraw.com/
- Draw Fast Help tldraw.notion.site/Draw-Fast-...
==================
🎥 VIDEO CHAPTERS
==================
00:00 Start
00:17 Introduction
02:30 Today
04:18 Draw Fast by tldraw
06:15 Fal AI
07:20 Hands-On Draw Fast
08:03 What is Draw Fast?
10:09 Clone Draw Fast
14:16 Fal AI
15:04 Sign Up
16:41 API Key
20:17 Pricing
21:55 DEMO
25:55 Credits
28:03 Models
30:57 DEMO
37:59 Challenge
41:27 Break
44:42 Tldraw React component
49:23 Draw Fast Code
01:05:50 Outro
==================
🔴 Live Playlist: • 🧠 Live Streams
🧠 Machine Learning Series: • 🧠 Machine Intelligence
🕸 Web Development Playlist: • 🚀 Web
🍃 Getting Simple: gettingsimple.com
🎙 Podcast: gettingsimple.com/podcast
🗣 Ask Questions: gettingsimple.com/ask
💬 Discord: / discord
👨🏻‍🎨 Sketches: sketch.nono.ma
✍🏻 Blog: nono.ma
🐦 Twitter: / nonoesp
📸 Instagram: / nonoesp
#CreativeAI #CreativeCoding #MachineLearning

Наука

Опубликовано:

31 июл 2024

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 7

4 месяца назад

↓ Here are the timestamps! 00:17 Introduction 02:30 Today 04:17 Draw Fast by tldraw 06:15 Fal AI 07:20 Hands-On Draw Fast 08:03 What is Draw Fast? 10:09 Clone Draw Fast 14:16 Fal AI 15:04 Sign Up 16:41 API Key 20:17 Pricing 21:55 DEMO 25:55 Credits 28:03 Models 30:57 DEMO 37:59 Challenge 41:27 Break 44:42 Tldraw React component 49:23 Draw Fast Code 01:05:50 Outro

@erikjohnson9112 2 дня назад

Only part way through the video. I wonder what it would take to make this completely local? I have a system with 24 GB of VRAM and plenty of RAM and a fast CPU, so I'm sure it can be done. Maybe it will be addressed later in the video, but I still want to thank you for making this video (the concept certainly seems interesting).

2 дня назад

Hey, Erik! You are completely right, this can be done locally if you can run and host the model on your own machine. You'll just have to change the API endpoint to the local address of the local server you spin up which can take requests.