LocalModels runs registry models in-process (install state, resumable downloads, recorded licence acknowledgements at $MAKEPAD_HOME/license_acks.json, weight paths by file role) and libs/ai/hub_ui is the install panel + licence modal every app can embed. New native ports: Beat This! (beats + downbeats) and Basic Pitch (note transcription) with their registry entries; the Salamander Drumkit samples (CC BY-SA 3.0, 37 files pinned by size and sha256) as a sample bank the downloader fetches like a model.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
makepad-ai-body joins the AI model workspace: the constants of the
architecture (DINOv3 ViT-H+/16 at 512, the 6-layer promptable decoder,
the 519-wide pose head, the 127-joint / 18439-vertex MHR rig) and the
single-file safetensors reader for the Comfy-Org repack, which fails
closed on a Meta checkpoint-style header and checks the shapes the port
is written for at load. The backbone, decoder and rig modules follow
in their own lanes against the spec under local/agent_state/sam3dbody.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The model code was spread across eight crates that had grown into each other:
ggml and cuda and mlx each owned part of a tensor runtime, llama and tts and
voice2 each owned part of a model, and libs/diffusion owned everything else.
They are now one tree with an explicit shape:
libs/ai/cuda — kernels and launch surface
libs/ai/metal — Metal shaders and the shim
libs/ai/llm — the language-model runtime (sessions, lanes, contexts,
the CUDA and Metal executors, the compiled Metal path)
libs/ai/models/ — common, flux, h3, music, paint, speech, stems, vision
libs/diffusion is not deleted but demoted: what remains is the VALIDATOR
crate — several dozen `*_validate.rs` oracles that check a native
implementation against a reference, which is where they belong now that the
implementations live next door.
The functional work inside the move is mostly in the LLM runtime: N lanes that
draft while one verify batch serves all of them, per-slot prefill over a shared
folded attention arena, speculation that survives batching, and a scheduler
that reports rather than publishes. And in the CUDA build: a machine without
usable CUDA must still LINK (and say so), the default kernel arch is the
building machine's GPU, `NO_CUDA` forces the stub even where the toolkit
exists, and kernels compile in parallel with progress.
libs/video_flow is new here: classical optical flow estimation and the `mkfl`
motion-field payload — a flow field measured from a clip without a model,
which is what drives free-rate bounce-looping playback and the uprez/tween
enhance pipe.
