Actually GOOD Open Source AI Video! (And More!)
TLDRThe video discusses advancements in AI technology, focusing on 'story diffusion,' a tool that has achieved consistent character representation in AI-generated images and videos. The tool, which is open-source, allows users to create videos from any photo and is showcased through a demo on hugging face. The video also covers other AI innovations, such as an AI town game where characters interact based on the llama 3 model, and the release of a large language model with a context length of 1 million tokens. Additionally, there are updates on udio AI, which has increased its context window for song generation, and a mention of 'Simon,' a tool for high-quality VFX on phones. The host expresses excitement about the potential of these technologies and invites viewers to join a Discord server for further discussion.
Takeaways
- ๐ A new AI tool named 'Story Diffusion' claims to have solved the issue of consistent characters in AI-generated images and videos, which has been a significant challenge in the field.
- ๐ท The demo of Story Diffusion shows a character that remains highly consistent across various images and an impressive video generation that, while not Sora quality, is quite good.
- ๐ป Story Diffusion is open source, allowing users to potentially run it at home, with an official demo available on Hugging Face.
- ๐ซ The speaker encountered difficulties running the demo online, experiencing errors regardless of the model or reference image used.
- ๐ข The AI-generated content is under the Apache 2.0 license, which permits commercial use of the generated content, but not the code itself.
- ๐ The repository for Story Diffusion includes more demos and prompts, some of which are translated from Chinese, showcasing consistent character representation.
- ๐ The video generation aspect of Story Diffusion is noted as a significant step towards consistent characters in AI image and video generation, with competitive quality.
- ๐ There is anticipation that AI video quality may reach Sora levels by the end of the year, based on the advancements demonstrated by Story Diffusion.
- ๐ค An AI town project allows individual AI characters based on Llama 3 to interact with each other in a game-like format, though it currently does not support Windows.
- ๐ง Gradient AI has managed to enhance the smallest Llama 3 model to a context length of 1 million tokens, a significant increase from the typical limits, available for free on Hugging Face.
- ๐ Open AI is speculated to be developing a search engine, with a domain registered and an upcoming event announced, potentially to compete with Google Search.
- ๐ GitHub's new AI feature, Copilot Workspace, is designed to help build projects using natural language, though it is not yet publicly available.
Q & A
What is the main achievement of the AI system 'Story Diffusion'?
-Story Diffusion claims to have solved the issue of consistent characters in AI image and video generation, which has been one of the biggest challenges in the field.
How is the character consistency portrayed in the generated images and videos?
-The character in the generated images and videos looks very consistent, maintaining a similar appearance throughout, which is considered impressive.
Is the AI system 'Story Diffusion' open source?
-Yes, Story Diffusion is open source, allowing users to run it at home and theoretically use any photo to turn into a video.
What kind of license does the open source code of the AI system operate under?
-The code operates under the Apache 2.0 license, which allows for commercial use of the generated content, but not for commercial iteration of the code itself.
What is the significance of the character consistency in AI image and video generation?
-Character consistency is significant as it allows for the creation of more coherent and believable narratives in AI-generated content, which is a step towards more advanced and realistic AI-generated media.
How does the video quality of the generated content compare to industry standards like Sora?
-While not exactly matching Sora quality, the video quality is described as 'pretty dang good', showing impressive consistency in character and background elements.
What is the potential application of the AI system for commercial purposes?
-Although the code cannot be used for commercial purposes, the generated content under the Apache 2.0 license can be used for commercial purposes, opening up possibilities for businesses to create content.
What is the 'AI Town' project and how does it work?
-The 'AI Town' project is a one-click launcher that creates an AI universe with individual AI characters based on Llama 3, which interact with each other in a game-like format. It allows users to chat with AI characters and join in as their own character.
What are the implications of the long context models for AI and large language models?
-Long context models, like the one developed by Gradient AI with Llama 3, allow for the manipulation of large amounts of text data, which can enable new projects and applications that were not possible before, such as AI-generated video editing.
What is the significance of the GitHub Copilot Workspace and how does it function?
-GitHub Copilot Workspace is a tool that allows for natural language interaction with GitHub, enabling users to build software through natural language instructions. It can create demos and code based on user specifications, potentially automating parts of the software development process.
What updates have been made to the 'Udio' AI music generation system?
-Udio AI has increased its context window to 2 minutes, allowing for more coherent song generation over time. It now supports extending tracks up to 15 minutes, has a tree-based track history for organization, and gives users the ability to trim sections of tracks before extending.
What is 'Simon' and how does it enhance the process of creating visual effects?
-Simon is a tool that enables users to create high-quality visual effects (VFX) directly on their phones. It allows for scanning a room, detecting lighting, and adding characters into a pre-rendered environment, which are then rendered into a realistic scene.
Outlines
๐ผ๏ธ Story Diffusion: AI Consistency in Image and Video Generation
This paragraph introduces 'Story Diffusion,' an AI technology that has reportedly resolved the issue of consistent character representation in image and video generation. The narrator discusses the significance of this advancement, noting that it has been a major challenge in the field. They share their positive experience with a demo that showcased highly consistent character and background visuals across images and videos. The technology is also open-source, allowing users to experiment with it at home, with an official demo available on Hugging Face. Despite facing difficulties in getting the demo to work, the narrator encourages others to try it out and share their creations. They also mention the legalities surrounding the use of this technology, highlighting that it falls under the Apache 2.0 license, which permits commercial use.
๐ AI Town: Local AI Characters Interaction
The second paragraph delves into an AI project called 'AI Town,' which is a one-click launcher install that creates an AI-driven universe where individual characters interact with each other. The narrator expresses a keen interest in trying the game but notes that it is not yet available for Windows. The game is developed by the team at a16z and allows players to engage with AI characters in a simulated town environment. The narrator also discusses the potential of such technology for original RPGs and the cost-effectiveness of running these AI models locally. They highlight the importance of the recent advancements in large language models, particularly 'llama 3,' which has significantly impacted the capabilities of these AI characters.
๐ Long Context Models: The Future of AI Manipulation
The third paragraph focuses on the concept of long context models and their potential to revolutionize AI applications. The narrator explains how long context models could enable AI to manipulate various forms of data by converting them into text. They provide the example of AI-generated video editing, where a video could be converted into an XML format and then edited by an AI based on a generated transcript. The paragraph also touches on the importance of long context for enabling new types of projects and how it could be a significant development in the field of AI this year. The narrator briefly mentions OpenAI's potential move into the search engine space and GitHub's new AI feature, 'GitHub Copy Pilot Workspace,' which assists in building projects through natural language.
๐ต Udio AI: Enhanced Music Generation Capabilities
In the fourth paragraph, the narrator discusses updates to Udio AI, a music generation tool that has increased its context window to 2 minutes, allowing for more coherent song generation. They highlight the new features, such as the ability to extend tracks up to 15 minutes, a tree-based track history for better organization, and a trim function for tracks before performing an extension. The narrator expresses excitement about these updates and considers hosting a live stream to explore the new capabilities. They also mention 'Simon,' a tool for creating high-quality VFX on a smartphone, which they find very impressive and desire to try out.
Mindmap
Keywords
๐กStory Diffusion
๐กOpen Source
๐กCharacter Consistency
๐กVideo Generation
๐กHugging Face
๐กApache 2.0 License
๐กLlama 3
๐กContext Length
๐กLong Context Models
๐กGitHub Copilot Workspace
๐กUdio AI
Highlights
Story diffusion claims to have solved consistent characters in AI image and video generation, which was a significant challenge.
The character in the demo appears very consistent across all images and videos, showcasing the effectiveness of the technology.
The technology is not only for images but also works for video generation, with impressive results.
The video quality is not Sora level but is highly competitive and shows consistency in character and background.
The project is open source, allowing users to run it at home and experiment with the technology.
An official demo is available on Hugging Face for users to try without errors.
The technology is under the Apache 2.0 license, which may allow for commercial use of generated content.
The project includes demos that showcase the potential of the technology in various scenarios, such as a spy adventure and a comic strip.
The character consistency in the demos is remarkable, with detailed elements like clothing and facial features remaining uniform across frames.
The technology's ability to generate long, coherent narratives in both image and video formats is a significant step forward.
The video generation capabilities are highlighted with examples of a person landing with a parachute and consistent environmental elements.
The project is expected to be updated with new source code for video generation and pre-trained weights soon.
An AI town project allows individual AI characters to interact in a game-like format, although not yet available on Windows.
Gradient AI has increased the context length of the Llama 3 model to 1 million tokens, a significant advancement for language models.
Open AI is reportedly creating a search engine, potentially to compete with Google, as indicated by domain registration and an upcoming event.
GitHub's new AI feature, Copy Pilot Workspace, allows for natural language interaction to build software, although it's not yet publicly available.
Udio AI, a music generation platform, has increased its context window to 2 minutes and now supports track extension up to 15 minutes.
Simon is a new app that enables high-quality VFX creation on smartphones, allowing users to create realistic scenes with ease.
The updates and advancements in AI technology discussed are indicative of a shift towards more consistent, long-context, and user-friendly applications.