The AI Toolkit UI is a web interface for the AI Toolkit. It allows you to easily start, stop, and monitor jobs. It also allows you to easily train models with a few clicks. It also allows you to set a token for the UI to prevent unauthorized access so it is mostly safe to run on an exposed server.
Over 600+ production-ready models for image, video, audio, 3D. Fal AI
Serverless / On-demand Compute
You don’t have to set up GPU clusters yourself. It offers serverless GPUs with no cold starts or autoscaler setup. Fal AI
Custom / Private Deployments
Support for bringing your own model weights, private endpoints, and secure model serving. Fal AI
High Throughput & Speed
fal claims their inference engine for diffusion models is “up to 10× faster” and built for scale (100M+ daily inference calls) with “99.99% uptime.” Fal AI
Enterprise / Compliance
SOC 2 compliance, single sign-on, analytics, priority support, and tooling aimed at enterprise deployment and procurement. Fal AI
Flexible Pricing
Options include per-output (serverless) or hourly GPU pricing (for more custom compute). Fal AI
Use Cases & Positioning
Useful for rapid prototyping or productionizing generative media features (e.g. image generation, video, voice).
Appeals to teams that don’t want to manage MLOps/infra — it abstracts a lot of the “plumbing.”
Targets both startups and enterprises — they emphasize scale, reliability, and security.
They also showcase that fal is used by recognized companies in AI, design, and media (testimonials on site
– player and number detection with RF-DETR – player tracking with SAM2 – team clustering with SigLIP, UMAP and K-means – number recognition with SmolVLM2
Splat settings: Splat MCMC algorithm, image size 3k, max splat 1 or 5 million splats, with Antialiasing, Stop Training after 80k. In COLMAP for SfM.. it’s basically all defaults, except same camera for all images, and set an initial parameter.
“The Lionsgate catalog is too small to create a model,” a source tells The Wrap. “In fact, the Disney catalog is too small to create a model.” … Another issue is the rights of actors and the model for remuneration if their likeness appears in an AI-generated clip. It is a legal gray area with no clear path.
𝐇𝐨𝐥𝐨𝐥𝐮𝐦𝐢𝐧𝐞𝐬𝐜𝐞𝐧𝐭™ 𝐃𝐢𝐬𝐩𝐥𝐚𝐲 (HLD for short) — razor thin (as thin as a 17mm), full 4K resolution, and capable of generating holographic presence at a magical price. A breakthrough display that creates a holographic stage for people, products, and characters, delivering the magic of spatial presence in a razor-thin form factor. Our patented hybrid technology creates embedded holographic layer creates the 3D volume, transforming standard video into dimensional, lifelike experiences.
Create impossible spatial experiences from standard video
Characters, people, and products appear physically present in the room
The embedded holographic layer creates depth and dimension that makes subjects appear to float in space
First scalable holographic illusion that doesn’t require a room-sized installation
The dimensional depth and presence of pepper’s ghost illusions, without the bulk
Built for the real world
FHD clarity (HLD 16″) and 4K clarity (HLD 27″ and HLD 86″), high brightness for any lighting environment
Thin profile fits anywhere traditional displays go
Wall-mounted, it creates the illusion of punching a hole through the wall into another dimension
Films beautifully for social sharing – the magic translates on camera
Works with what you have
Runs on your existing digital signage solution, CMS, and 4K video distribution infrastructure
Standard HDMI input or USB loading
2D video workflow with straightforward, specific requirements: full-size subjects on green/white backgrounds or created with our templates (Cinema4D, Unity, Adobe Premiere Pro)
This is Ray3. The world’s first reasoning video model, and the first to generate studio-grade HDR. Now with an all-new Draft Mode for rapid iteration in creative workflows, and state of the art physics and consistency. Available now for free in Dream Machine.
Ray3’s native HDR delivers studio-grade fidelity. It generates video in 10, 12 & 16-bit high dynamic range with details in shadows and highlights in vivid color. Convert SDR to HDR, export EXR for seamless integration and unprecedented control in post-production workflows.
Reasoning enables Ray3 to understand nuanced directions, think in visuals and language tokens, and judge its generations to give you reliably better results. With Ray3 you can create more complex scenes, intricate multi-step motion, and do it all faster.
With reasoning, Ray3 can interpret visual annotations enabling creatives to now draw or scribble on images to direct performance, blocking, and camera movement. Refine motion, objects, and composition for precise visual control, all without prompting.
Draft Mode is a new way to iterate video ideas, fast. Explore ideas in a state of flow and get to your perfect shot. With Ray3’s new Hi-Fi diffusion pass, master your best shots into production-ready high-fidelity 4K HDR footage. 5x faster. 5x cheaper. 100x more fun.
Ray3 offers production-ready fidelity, high octane motion, preserved anatomy, physics simulations, world exploration, complex crowds, interactive lighting, caustics, motion blur, photorealism, and detail nuance, delivering visuals ready for high-end creative production pipelines.
Ray3 is an intelligent video model designed to tell stories. Ray3 is capable of thinking and reasoning in visuals and offers state of the art physics and consistency. In a world’s first, Ray3 generates videos in 16bit High Dynamic Range color bringing generative video to pro studio pipelines.The all-new Draft Mode enables you to explore many more ideas, much faster and tell better stories than ever before.
About 576 megapixels for the entire field of view.
Consider a view in front of you that is 90 degrees by 90 degrees, like looking through an open window at a scene. The number of pixels would be:
90 degrees * 60 arc-minutes/degree * 1/0.3 * 90 * 60 * 1/0.3 = 324,000,000 pixels (324 megapixels).
At any one moment, you actually do not perceive that many pixels, but your eye moves around the scene to see all the detail you want. But the human eye really sees a larger field of view, close to 180 degrees. Let’s be conservative and use 120 degrees for the field of view. Then we would see:
Sourcetree and GitHub Desktop are both free, GUI-based Git clients aimed at simplifying version control for developers. While they share the same core purpose—making Git more accessible—they differ in features, UI design, integration options, and target audiences.
In HD we often refer to the range of available colors as a color gamut. Such a color gamut is typically plotted on a two-dimensional diagram, called a CIE chart, as shown in at the top of this blog. Each color is characterized by its x/y coordinates.
Good enough for government work, perhaps. But for HDR, with its higher luminance levels and wider color, the gamut becomes three-dimensional.
For HDR the color gamut therefore becomes a characteristic we now call the color volume. It isn’t easy to show color volume on a two-dimensional medium like the printed page or a computer screen, but one method is shown below. As the luminance becomes higher, the picture eventually turns to white. As it becomes darker, it fades to black. The traditional color gamut shown on the CIE chart is simply a slice through this color volume at a selected luminance level, such as 50%.
Three different color volumes—we still refer to them as color gamuts though their third dimension is important—are currently the most significant. The first is BT.709 (sometimes referred to as Rec.709), the color gamut used for pre-UHD/HDR formats, including standard HD.
The largest is known as BT.2020; it encompasses (roughly) the range of colors visible to the human eye (though ET might find it insufficient!).
Between these two is the color gamut used in digital cinema, known as DCI-P3.
