🎞️ Create Videos with Luma AI

PLUS: Stable Diffusion 3

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Luma AI has unveiled its Dream Machine, an AI model bringing realistic video generation to everyone. With just a text prompt or an input image, the tool allows to quickly create 5-second video clips. Let’s explore…

Today’s Summary:

  • Luma Dream Machine brings video generation to all

  • Stable Diffusion 3 releases new model

  • Google PH-LLM research for personalized health insights

  • No cash in Apple-OpenAI deal

  • Photographer disqualified over real photo

  • AI discovers rare earth-free magnet

  • 2 new tools

TOP STORY

Luma Dream Machine Brings AI Video Generation to the Masses

The Summary: Luma AI has launched Dream Machine, an AI model that generates realistic video clips from text descriptions and images. It lets users create 5-second video shots with specified objects, characters, actions, and environments. Dream Machine is free for anyone to try on the Luma website.

Source: Luma Labs

Key details:

  • Generates videos from text prompts like "a corgi puppy chasing a ball on a beach"

  • Videos have smooth motion, consistent physics, and coherent storytelling

  • Currently one of the best video generation tools available to the public (others such as Sora and Veo are still limited to studio partners, and Kling is limited to China)

  • Will release APIs and plugins for popular creative software

  • Free tier allows 30 video generations per month

Why it matters: Dream Machine democratizes AI-powered video generation, letting creators and businesses produce video content from a simple prompt. It could drive innovation as the public explores its creative potential. However, it also raises concerns around deepfakes and IP rights.

IMAGE MODELS

Stable Diffusion 3 Released: New Open-Source Image Generator

The Summary: Stability AI has released the open weights of Stable Diffusion 3 Medium, its latest text-to-image AI open-source model. It delivers photorealism while improving artifacts in hands and faces. It understands complex prompts involving spatial relationships, compositional elements, actions, and styles, and performs well in text rendering, with its new Diffusion Transformer architecture.

Source: Stability AI

Key details:

  • 2B parameter model. A higher quality 8B model is announced

  • Optimized for consumer GPUs with low VRAM (5-16GB)

  • Customizable: can be fine-tuned with small datasets

  • Licensing Terms: Free for non-commercial use; $20/month for limited commercial use; custom pricing for full commercial use

  • Mixed initial feedback: Some users faced issues replicating results, possibly due to new parameters to explore. Positive feedback includes good prompt adherence, detail richness, and lighting/colors

  • Concerns: Stricter licensing and censorship affecting human anatomy accuracy

Why it matters: Stability AI has succeeded in releasing Stable Diffusion 3 despite recent financial challenges. However, early user feedback highlights issues with generating realistic human images, possibly due to changed parameters or excessive safety measures. The open-source community will need more time to fine-tune and integrate it, to see if it can match the success of SD 1.5 and SD XL.

HEALTH

Google PH-LLM: Personal Health AI for Wellness Guidance

The Summary: Google has introduced PH-LLM, an AI model that analyzes personal health data from wearables to generate personalized insights, identify potential causes, and provide customized recommendations for improving sleep and fitness.

The model ingests data like sleep patterns, physical activity, and physiological responses from smart devices. It then provides coaching centered on the individual’s unique context.

Source: Google

Key details:

  • PH-LLM is fine-tuned from Google Gemini base model

  • Evaluated on 857 real-world case studies rated by domain experts

  • Matches human expert performance on fitness coaching

  • Approaches expert level for providing sleep insights

  • Models not released. More work remains to ensure they are reliable, safe, and equitable in personal health applications, but the papers give a glimpse on the current research directions

Why it matters: Wearable devices capture vast amounts of health data, but turning this data into actionable insights has been a challenge. PH-LLM advances the use of AI to transform passive data into personalized health guidance, potentially promoting better sleep, fitness, and overall wellness.

QUICK NEWS

Quick news

TOOLS

🥇 New tools

That’s all for today!

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