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Author SHA1 Message Date
Admin
0ecb81cf56 ai models: the model-crates env-var cleanup — 172 research knobs gone, the unset default is the code
The per-family model crates (flux, h3, paint, music, speech, stems,
vision, sfx, rife, trellis, beats, common) and the libs/diffusion
research binaries read some 190 environment variables that were
research knobs: tensor dumps, per-stage timing, oracle-parity and
fixture rigs, experiment toggles. The path taken with none of them set
is the one that ships; every such knob is deleted with the code it
gated, and every losing branch of an experiment toggle goes with its
toggle — dead kernels, fields and functions included. What remains are
the real configuration variables (the FLUX_*_MODE family, FLUX_GRAPH,
the VAE pool cap, the FLUX2 text-encoder residency, H3_VAE_BATCH, the
music3 caches and official modes, the stems/beats f16 switches, the
weight and data roots) and the build-script variables.

Rebased on the runtime cleanup: precision stays explicit everywhere
(GemmPrecision, f16_attention_operands, the H3 text precision, DA3's
StrictF32 in code); no act16, no H3_ACT_F16, no FLUX_ATTN_F16 or
FLUX_VAE_CONV_GEMM reads survive.

Reviewed by the delegate reviewer (APPLY, no findings) and gated on the
Windows CUDA box: all seventeen model crates check, motion and vision
tests, the hub and the diffusion bins — the gate caught one CUDA-only
tap marker the Mac never compiles, removed here. On this Mac: the same
checks plus motion 24, paint 158 and vision 23 tests.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
2026-09-02 14:50:06 +02:00
Admin
d24cbee60d asset platform: store pipelines with honest banded progress, vision annotation through the job queue, fleet scheduling (roles, spread, peer provisioning), the music contract, synonym search, the runs card
Squashed from work; the fine-grained history is under tag archive/work-2026-08-29:
- mp* wave: mpwm window manager + the mp app family, WM API, theme bridge, PDF engine fix
- work: land the sources the last commits reference
- kenney: catalogue all 50 free 3D kits; Modal dismissed() never fired
- asset store: central vision-annotation queue; Kenney donate prompt
- asset-ai: vision domain — image + prompt -> text on every fleet node
- annotation runs the fleet's vision services through the normal job queue
- vj: responsive DJ mixer + Windows drag-and-drop, cherry-picked from PR #1199 (vjroger)
- store search: WordNet synonym expansion, query-side; per-term seeks
- video scheduling: a cold model pin never downloads past a warm one, and a dedicated box only serves its role
- an expansion can never lose a run — and `expand: true` finally means something
- fleet panel: a slow box is not a missing box
- h3: first+last keyframe conditioning (the weights were always FL2VA)
- registry: the three H3 FL2VA tiers name their real conditioning
- fleet scheduling: spread before stacking, and a stuck job moves
- a download never steals a job from a box that has the weights
- the faster GPU takes the tie: 6000 > 5090 > 4090
- an evicted flux model gives the card its VRAM back
- a job now records what each of its stages was handed
- open a stage in RUNS and read what it sent
- every expanded song was an instrumental: the lyrics had nowhere to go
- the writer never overwrites words the person wrote
- store: a dependent job's body is spliced from its deps' results at claim
- a fleet box's job row says what that job was asked for
- the store runs a whole pipeline, and one record says how far it got
- a client can declare a whole run, watch it, and stop it
- 100% now means published, and the expander is a job you can queue
- one card says what a spawned task is doing, everywhere
- a run that ends says so, instead of being noticed later
- when every box holding the model is busy, buy another copy
2026-08-29 09:26:25 +02:00
Admin
7f59912916 libs/ai: one AI stack, replacing libs/ggml, llama, mlx, cuda, tts, voice2 and pbr_paint
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.
2026-08-23 01:34:35 +02:00