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- AR Gaming, AI Resurrects Ancient Knowledge, Apple's Depth Pro | This Week in AI Art 🫐
AR Gaming, AI Resurrects Ancient Knowledge, Apple's Depth Pro | This Week in AI Art 🫐
Cut through the noise, stay informed — new stories every Sunday.
pov: laptop fan screaming for mercy as I dive into another AI art rabbit hole
In this issue:
FLUX UPDATES
FLUX 1.1 Pro, an updated version of Black Forest Labs' text-to-image AI model. The new version is reportedly 6 times faster than FLUX 1.0 Pro while improving image quality, prompt adherence and diversity. FLUX 1.1 Pro achieved the highest Elo score on the Artificial Analysis image arena benchmark. It will be available via API through platforms like Together.ai, Replicate, fal.ai and Freepik. Black Forest Labs also announced a beta API allowing developers to integrate FLUX capabilities into applications. The API offers customization options, scalability, and competitive pricing (4 cents/image for FLUX 1.1 Pro). A faster FLUX 1.1 Dev version is expected to be released in the future, though no specific timeline was provided.
u/Total-Resort-3120 introduced an un-distilled version of the Flux Dev model called flux-dev-de-distill. This modification allows the model to work at Classifier-Free Guidance (CFG) values greater than 1 and enables easier fine-tuning. The un-distilled model maintains the same file size as the original but requires more computational steps (60+ recommended) and generally higher CFG values (3-6) for optimal results. The post provides links to various versions of the model, along with a workflow for implementation in ComfyUI. The un-distilled model is reported to improve prompt adherence and potentially fix issues with existing Flux LoRAs, making it particularly useful for fine-tuning and training new concepts.
A new DEV version of RealFlux, a model aimed at producing highly realistic and photographic images. RealFlux is based on the FLUX architecture and is created by Evgeny, known for developing "Real" models. This version includes both a transformer and a UNET variant, with the latter available in FP8 format. While the model shows promise in producing realistic images, some users noted that fine-tuning efforts have been challenging due to FLUX's distillation process. The creator is reportedly working on a new model called Verus Vision, based on a de-distilled version of FLUX, which may offer improved fine-tuning capabilities in the future.
u/hackerzcity announced the release of OpenFLUX.1, an open-source alternative to the FLUX.1 model that allows for fine-tuning. OpenFLUX.1 is a fine-tuned version of the FLUX.1-schnell model with the distillation trained out, making it possible to further fine-tune the model. The developer claims it rivals FLUX.1 in performance while being fully open-source. However, some users noted that the de-distillation process may not be complete, as the model still exhibits issues with high CFG values and long prompts. The developer is reportedly still working on improving the model's performance and stability.
TECNO POCKET GO: HANDHELD PC WITH AR DISPLAY
TECNO's Pocket Go is redefining portable gaming with a unique two-part system: a controller-shaped Windows 11 PC and AR glasses for display. This innovative approach eliminates the need for a built-in screen on the handheld unit itself.
At its core, the Pocket Go is a full-fledged Windows 11 computer. Games are stored and run directly from the controller unit, which houses an AMD Ryzen 7 8840HS (or 8840U) processor, 16GB LPDDR5 RAM, and a 1TB PCIe 4.0 SSD. As it runs Windows 11, users should be able to install and play PC games, though the exact methods and compatible platforms are not specified in the available information.
The AR glasses serve as the display, projecting a virtual 215-inch screen viewable from 6 meters away. The glasses feature adjustable focus settings, potentially allowing users with different vision needs to use them comfortably without additional corrective lenses.
TECNO claims the Pocket Go is 30% lighter and 50% smaller than competitors like the Lenovo Legion Go and ROG Ally. However, the reliance on AR glasses for display has sparked debates about practicality and comfort during extended gaming sessions.
With a rumored $1000 price point, the Pocket Go is positioning itself as a premium option in the handheld gaming market. As of now, specific release date and availability information remain unannounced, but it is exciting to see technology like this on the horizon!
AI DECIPHERS ANCIENT SCROLLS
Artificial Intelligence technology is making remarkable strides in deciphering previously unreadable ancient texts, particularly the Herculaneum scrolls - papyri nearly 2,000 years old that were damaged by the eruption of Mount Vesuvius. This breakthrough involves using advanced machine learning and computer vision techniques to "virtually unwrap" the scrolls without physically opening them, preserving these delicate artifacts while unlocking their secrets.
The process employs a suite of AI tools and technologies. X-ray tomography provides high-resolution imaging of the scrolls, while computer vision algorithms detect traces of text. Sophisticated machine learning models are then used to distinguish ink from the carbonized papyrus. The sheer volume of data involved necessitates the use of cloud computing resources to process and analyze the images effectively.
These advanced techniques have yielded fascinating results. Researchers have uncovered a previously unknown philosophical work discussing the senses and pleasure. The text touches on various subjects including music, the taste of capers, and the color purple. It also contains what may be a description of Xenophantus, a flautist mentioned by ancient authors Seneca and Plutarch. This discovery underscores the potential historical and cultural significance of the remaining undeciphered scrolls.
In the broader field of archaeology, AI is proving to be an invaluable tool. LiDAR technology is being used to discover hidden structures in dense forests, while ground-penetrating technology aids in identifying buried structures. Some archaeological sites are even employing AI-enabled robotic systems for security and exploration.
This project exemplifies how AI can serve as a powerful tool in interdisciplinary research, unlocking ancient knowledge through collaborative efforts in computer science, archaeology, and philology. This success underscores the value of open data sharing in preserving cultural heritage.
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