Stable Diffusion breaks the internet (Interview)
The Changelog: Software Development, Open Source
Navigating the Deep Fake Dilemma
This chapter examines the implications of deep fake technology on public trust and the potential for misinformation. It also highlights the importance of crisis management in organizations and discusses AI's impact on creativity and authenticity in the arts.
This week on The Changelog we’re talking about Stable Diffusion, DALL-E, and the impact of AI generated art. We invited our good friend Simon Willison on the show today because he wrote a very thorough blog post titled, “Stable Diffusion is a really big deal.”
You may know Simon from his extensive contributions to open source software. Simon is a co-creator of the Django Web framework (which we don’t talk about at all on this show), he’s the creator of Datasette, a multi-tool for exploring and publishing data (which we do talk about on this show)…most of all Simon is a very insightful thinker, which he puts on display here on this episode. We talk from all the angles of this topic, the technical, the innovation, the future and possibilities, the ethical and the moral – we get into it all. The question is, will this era be known as the initial push back to the machine?
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Featuring:
- Simon Willison – Website, GitHub, X
- Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X
- Jerod Santo – GitHub, LinkedIn, Mastodon, X
Show Notes:
- Simon Willison on Wikipedia
- Stable Diffusion is a really big deal
- Exploring 12 Million of the 2.3 Billion Images Used to Train Stable Diffusion’s Image Generator
- Exploring the training data behind Stable Diffusion
- Stability.ai
- Greg Rutkowsk on ArtStation and on Twitter
- Stable Diffusion Launch Announcement
- Stable Diffusion Public Release
- The full text of the CreativeML Open RAIL-M license
- Prompt injection attacks against GPT-3
- Twitter thread about the ethics of the Stable Diffusion release from Joshua Achiam who works on AI safety at OpenAI
- Lexica.art - that really good search engine for 10m+ Stable Diffusion images and prompts
- Simon’s Twitter thread about Stable Diffusion - I keep on adding new things to this as they happen, the thread has been running for a few weeks now
- 4.2 Gigabytes, or: How to Draw Anything - a great post that talks through the process involved in getting good results out of Stable Diffusion using image2image and multiple round-trips through the model
- This tweet from Simon has a animated GIF of the Stable Diffusion Discord scrolling by during the 1.5 model preview
- Textual Inversion also see this thread on Twitter
- This tweet talks about the Stable Diffusion concepts library, using Textual Inversion
- This tweet has great examples of Textual Inversion in action
- Simon’s Datasette Cloud preview - Check it out and signup
- Compressing images with Stable Diffusion
- “neuromancer” on Lexica
- Online Art Communities Begin Banning AI-Generated Images
- The Changelog #296: Burnout, open source, Datasette
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