Stable Diffusion

Stable Diffusion

Software / AppVerified via Wikidata

image-generating machine learning model

Mentioned in 31 videos
Founded
2022
License
CreativeML Open RAIL-M

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Videos Mentioning Stable Diffusion

Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

Lex Fridman

A prominent image generation model based on diffusion models, whose rapid improvement demonstrates the power of these architectures.

Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence

Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence

Stanford Online

A generative AI model for image creation, co-created by Andreas Blattmann and part of Black Forest Labs' work, which significantly impacted visual intelligence research and application.

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 5 - Architectures

Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 5 - Architectures

Stanford Online

The model released in 2024 that first coined the term MMDIT and relies on joint attention.

Anthropic's Digital God, Pope vs AI, Job Loss Narrative Flips, Open Source Crackdown Coming?

Anthropic's Digital God, Pope vs AI, Job Loss Narrative Flips, Open Source Crackdown Coming?

All-In Podcast

An AI image generation model, cited as an example of a model that 'trained' itself on copyrighted images (Getty Images) leading to watermarks in outputs.

Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs

Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs

All-In Podcast

A generative AI model for creating images, previously worked on by the Black Forest Labs team.

The Key Thing Human Brains Have That AI Is Trying To Learn

The Key Thing Human Brains Have That AI Is Trying To Learn

Y Combinator

Mentioned as an example of the JPA idea applied to image generation, where optimization occurs in a latent space, reducing the state space dramatically.

Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis

Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis

Stanford Online

Cited as an example of a diffusion model that emerged around five to six years prior to the lecture.

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