Daniel Han bb78cca820 Correct the ltx-2 resident TE estimate to the bf16 cast size ... The memory plan's bf16_components_gb held 50.4 GB for the LTX text encoder, which is the fp32 hub store of Gemma3-12B (~49 GB download), not what sits on device: the pipeline loads it torch_dtype=bf16, ~24.4 GB resident. The 26 GB over-estimate pushed the auto plan toward offload on cards that fit the real footprint. Comments and the size-table test now pin the resident semantics.		2026-07-18 08:00:25 +00:00
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data_recipe	Studio: harden background consumer loops and streaming paths against silent UI freezes (#6653)	2026-06-26 03:31:33 -07:00
export	Studio: multi-select export formats, portable FP8/INT8, GGUF LoRA, and source parity (#6767)	2026-07-03 08:25:10 -07:00
inference	Correct the ltx-2 resident TE estimate to the bf16 cast size	2026-07-18 08:00:25 +00:00
rag	Run the malware gate on the RAG embedding model before it loads (#6887)	2026-07-07 04:30:21 -07:00
training	Add FLUX.2 Klein and FLUX.2-dev DiT LoRA training	2026-07-17 09:34:01 +00:00
__init__.py	Reduce and tighten code comments and docstrings repo-wide (#6095)	2026-06-08 23:09:51 -07:00
_torchao_stub.py	Reduce and tighten code comments and docstrings repo-wide (#6095)	2026-06-08 23:09:51 -07:00
import_guards.py	Studio: self-heal unsloth namespace shadows; clearer failed-load messages (#6532)	2026-06-21 22:43:31 -07:00
tool_healing.py	Studio: parse Mistral [TOOL_CALLS] and rehearsal tool-call shapes (#5704)	2026-07-06 18:52:13 -07:00