From Timelines to Node Graphs: Compositing Enters a Hybrid Era
For years, professional motion graphics and VFX pipelines revolved around layer-based tools like After Effects, with timelines handling compositing, animation and rendering. A new generation of node-based compositing tools is now redrawing that picture by fusing procedural workflows with familiar interfaces. Caddis exemplifies this shift: it keeps a classic timeline but embeds a node graph inside every layer, so any parameter can be wired, modulated or replaced through procedural connections instead of buried in effect stacks. Canvas, Beeble’s newly announced AI compositor software, takes the opposite route: it starts from a pure node graph and wraps compositing utilities, AI video models and workflow automation into a single visual system. Together, they signal an industry-wide move toward node-based compositing that delivers the flexibility of graph editing without forcing artists to abandon established timeline-centric habits overnight.
Canvas: A Node-Based AI Compositor Built for Modern VFX Pipelines
Beeble’s Canvas is positioned as a node-based AI compositing environment for complex VFX, post and virtual production workflows. Aimed at filmmakers, studios, agencies and content creators, it combines AI video models, traditional compositing nodes and visual workflow automation in one controllable, iterative system. Artists build node graphs that blend live-action plates, masks, reference images and AI-generated elements, then compare multiple visual variations across entire shot sequences without duplicating setups. Native access to Beeble’s SwitchX enables video-to-video transformations and relighting, while SwitchLight generates physically based rendering passes such as normal maps for more realistic integration of CG and live footage. Integrated AI rotoscoping accelerates labor-intensive matte creation, and support for external generative and utility models lets teams fold third-party AI into the same node graph. Canvas effectively becomes a centralized AI compositor software hub, designed to help teams refine and scale shots rather than treat each one as a bespoke setup.
Visual Workflow Automation and VFX at Scale
Node-based compositing excels at making complex workflows explicit. In Canvas, that strength is extended through VFX workflow automation features that turn node graphs into reusable production templates. Artists can automate repeatable steps—such as ingesting plates, generating PBR passes via SwitchLight, applying relighting through SwitchX and compositing final looks—then batch process entire shot ranges. This procedural video editing approach ensures consistency across sequences while preserving the ability to tweak parameters globally or per shot. The introduction of the SwitchX API further connects Canvas to broader pipeline engineering, enabling studios and developers to embed Beeble’s AI relighting and video transformation inside proprietary tools and scheduling systems. Rather than running isolated AI experiments, teams can build programmable, node-driven pipelines that make AI a first-class component of their daily production infrastructure.
Caddis: Layer-Based Familiarity with Node Power Inside Every Layer
While Canvas pushes deeply into node-centric, AI-driven workflows, Caddis targets motion designers who want procedural control without abandoning a timeline-first mindset. Users work in a traditional layer-based interface, but selecting any layer opens a corresponding node graph alongside the viewport. Over 100 nodes in the beta release allow artists to wire effects, modulate parameters and create complex behaviors while still managing timing in a standard timeline. The developer describes the philosophy as removing the forced choice between layers and nodes: timelines remain responsible for what they do best—time and structure—while nodes handle logic, relationships and reusable setups. Caddis also integrates AI through cloud-processed nodes for depth estimation and matte generation, purchased on a credit basis. This turns typical manual tasks like rotoscoping or depth pass creation into automated utilities that can be dropped into any layer’s graph, further narrowing the gap between artisanal tweaking and procedural, scalable workflows.
Toward AI-Enhanced Compositing Beyond Traditional Layer-Based Software
Together, Canvas and Caddis highlight a broader transition away from purely layer-based applications toward AI-enhanced, node-based compositing as a daily production standard. For high-end VFX, Canvas demonstrates how AI compositor software can unify AI video models, compositing utilities and automation within one visual environment, making shot-to-shot iteration and scaling far more manageable. For motion graphics and smaller teams, Caddis offers a bridge: it brings the procedural power of nodes into a familiar timeline while quietly offloading depth estimation and matte work to AI in the cloud. The common thread is a move to visual, node-driven representations of workflows where automation, batching and intelligent assistance are built in from the start. As these tools mature, they are poised to challenge traditional layer-bound software not by replacing timelines, but by surrounding them with smarter, more procedural systems that better match contemporary production demands.