ChatGPT CEO on Mindfulness AI and the Future of Life || Sam Altman Jack Kornfield & Soren Gordhamer
This is a conversation between Open AI CEO Sam Altman, along with wisdom teacher, Jack Kornfield, moderated by Soren Gordhamer.
Wisdom 2.0 addresses the great challenge of our age: to not only live connected to one another through technology, but to do so in ways that are beneficial to our own well-being, effective in our work, and useful to the world.
The conversation discusses both opportunities and challenges of AI, and the need for ethics and values as it develops.
From Wisdom 2.0 – Together Conference – San Francisco – April 2023
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This Midjourney Technique Will Put You in the Top 1% | Chain Prompting Tutorial
Another week, another insane way to make pictures. This technique will generate the most unique images in Midjourney, and it will ensure you're in the Top 1% of creativity. Image prompting like this works great in Midjourney Version 5.1 as well as previous versions like V 4
NEW PROMPT PACK:
https://ift.tt/v62qCLG
ARTICLE:
https://ift.tt/31iCs2b
FREE PDFs:
https://ift.tt/23zFVUX
https://ift.tt/3pH7sDx
https://ift.tt/TzdRxne
Other Links:
Merch - https://ift.tt/sbW3HqC
Discord - https://ift.tt/l9JmsRu
Creative Fabrica - https://ift.tt/8GaQXdK
How to Character Design in Midjourney AI [Prompt Crafting Tutorial] - Ep.2
Part 2 of this Text Prompt Guide series with Midjourney AI. Create your own character design using AI (Artificial Intelligence).
Episode 1 link: https://youtu.be/2QTXTp-_5JY
In this video I cover:
Timecodes:
0:00 - Intro
0:48 - Style of Studio Ghibli
1:20 - Text prompt
2:52 - Midjourney image database
3:22 - Text prompt revision - character details
4:35 - Text prompt revision - quality improvement
5:45 - Text prompt revision - fix background
6:35 - Concluding tips!
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Links mentioned in this video:
https://ift.tt/FudVLtB - Midjourney Image Database
https://ift.tt/Y4qG6Wc
https://ift.tt/UhFp4cY
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How to use Reference Images & Image Weights --iw MidJourney AI command [AI Art Tutorial]
Welcome to the third video in the How to use MidJourney Commands series!
This AI Art tutorial explains how to use image references in Midjourney AI, How to use image weights in Midjourney AI, and explores the different results obtained by varying these command inputs. Example 1 is an abstract example, while example 2 is a Midjourney AI character design example.
In this video I cover:
Timecodes:
0:00 - Intro
0:21 - Image Prompting Explained
0:57 - Example 1 prompt crafting
2:48 - Example 1 results study
4:39 - Example 2 prompt crafting
6:43 - Example 2 results study
Join my Discord, lets create together!
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Links mentioned in this video:
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https://ift.tt/9QnXsFj
Link and Subscribe for more videos on MidJourney AI!
How to use Stylize --s Midjourney AI command [AI Art Tutorial]
Welcome to the first video tutorial in the How to use MidJourney Commands series!
This AI Art guide explains how the command stylize --stylize --s in MidJourney works and explores the different results obtained by varying the stylize command inputs.
In this video I cover:
Timecodes:
0:00 - Intro
0:25 - Stylize MidJourney definition
1:54 - Stylize settings Explained
3:44 - Creating the text prompt
4:15 - Exploring the Results
6:40 - Thank you for watching :)
7:10 - Developing abstract piece
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Link and Subscribe for more videos on MidJourney AI!
Ready for some more advanced Stable Diffusion? Want to turn your kid's doodles into artistic master pieces? Maybe you'd like to GoBig with high resolution images, or perhaps run your own web interface locally with Gradio? It's time to put your nerd on, because all this and more awaits you!
Chapters:
00:00 - Intro and Image 2 Image
10:28 - Image Inpainting
13:08 - Low VRAM / Weights / Web GUI
18:41 - HD Images / GOBIG
Links:
https://ift.tt/h2F5VB0
https://ift.tt/MJceOKf
https://ift.tt/UmWTMkA
https://ift.tt/gcFVwbe
https://ift.tt/TMrXjRv
https://ift.tt/JkRECTA
https://ift.tt/JAgQxNX
https://ift.tt/d2OJqiQ
In this video I give you a full tour for generating images in Stable Diffusion.
Glibacord Link: https://ift.tt/tXYRg5B
Stable Diffusion Website: https://ift.tt/Ed7m8eI
Artist Resource: https://ift.tt/u2Yz5QI
#StableDiffusion #Dalle2
3D effect on photos - CapCut is an all-in-one online video editing software which makes creation, upload & share easier, with frame by frame track editor, cloud drive etc.
Time to dive into diffusion models and see what is going on underneath the magic that is making the news at the moment :)
If you'd prefer a slightly longer, more conversational version, the livestream recording is up here: https://youtu.be/jkSoMlfuUm0 (this also covers a few additional topics thanks to questions from the twitch chat).
Lesson notebook: https://ift.tt/ngptx7o
Github (includes discord invite) : https://ift.tt/lvEuAy0
Welcome back to AIAIART! This lesson recaps some of the core ideas from part 1 (lessons 1-4) and sets us up for the next few weeks, where we'll look into some advanced new techniques like transformers for image synthesis and the recently-famous diffusion models.
The live stream of this lesson ran a little long and had a couple of technical hiccups, so this video is a re-recording that tries to do a more high-level summary. If you'd prefer to follow along with the full-length video in which I actually run all the code and explain in more depth, that video is up on https://ift.tt/bMYi7rx and as an unlisted video here: https://youtu.be/BHkLbzspdt8
See links to past lessons and our Discord where you can ask questions and share your projects via the aiaiart github repository: https://ift.tt/AKGc1ZW
The colab link for lesson 5: https://ift.tt/IKPSQ63
Informal chat where we read through a few papers and look at a recent project.
No central notebook for this lesson, but some resources we'll be talking about:
- A brief shoutout to https://multimodal.art/ as a great way to keep up with things
- CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers (https://ift.tt/QgkA92Y)
- Denoising Diffusion GAN (https://ift.tt/J4wdPlS)
- My project, CLOOB Conditioned Latent Denoising Diffusion GANs (https://ift.tt/WIfpH7a) and specifically the demo notebook (https://ift.tt/xmiLsDy)
I forgot to mention a few things:
1) If you're curious how I organised the code into that library with nice docs and such: check out NBDev.
2) The demo grids shown run from no conditioning (left) to fairly extreme conditioning (right) using classifier free guidance.
-- Watch live at https://ift.tt/bMYi7rx
AIAIART Lesson 6, diving into transformer models and their application to image synthesis. We'll start by playing with text generation and build all the way up to creating our own version of the original 'dall-e' model for text-to-image synthesis.
Github: https://ift.tt/lvEuAy0
The Colab notebook for this lesson: https://ift.tt/Ejvemku
The original live-streamed version of this lesson isn't actually all that much longer than this video, coming in just over an hour! You can find it on https://ift.tt/bMYi7rx and I'll also upload it to YouTube at some point and update this description then.