makepad/libs/ai/models/flux/assets
Admin c83ce3617d ai: hub stems and word timing, GPU yield, quantised image models, fleet discovery
Stems take any audio file and can answer Ogg stems; speech-to-text answers
word-timed transcription and batched forced alignment. A generation the
full model cannot fit next to the UI runs on the family's q4 variant; a
chat during a GPU yield is answered; a GPU failure fails the job instead of
a silent CPU fallback. Block-quantised image transformer on the GPU and a
24 GB-card image model entry. The fleet beacon goes to every interface's
broadcast and a hub on the gateway is found where no beacon reaches; the
LAN listener can be stopped. Tokenizer and G2P lexicon tables download with
their models instead of living in git.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
2026-10-14 07:24:22 +02:00
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clip_merges_utf8.txt libs/ai: one AI stack, replacing libs/ggml, llama, mlx, cuda, tts, voice2 and pbr_paint 2026-08-23 01:34:35 +02:00