The V2 additions the KJNodes completion needed on the core side:
- _model_transforms: the closed, core-owned transform vocabulary
behind ModelRef.patch — 29 named transforms, declaratively
parameterized, validated host-side, immutable and stacking. No
function ever crosses the boundary; a pack cannot register one.
- structured-vs-live split: value()/from_value() only on structured
data refs (LATENT, AUDIO, TRACKS...). MODEL/CLIP/VAE/asset refs are
handles in every execution mode — in-process identity resolution no
longer hands a live model to node code.
- preview overrides (tiny-VAE, LTX factors), triton VAE seam, memory
attention, and profiling surfaces backing the corresponding closed
brokers in the overlay.
- torch_compile/model_patcher/model_management: compiled-view
aliasing recognized by the model manager (no double-counted
weights); shared state-dict loading path so the native loader and
the V2 broker cannot drift.
* Make torch compile node use wrapper instead of object_patch for the entire diffusion_models object, allowing key assotiations on diffusion_models to not break (loras, getting attributes, etc.)
* Moved torch compile code into comfy_api so it can be used by custom nodes with a degree of confidence
* Refactor set_torch_compile_wrapper to support a list of keys instead of just diffusion_model, as well as additional torch.compile args
* remove unused import
* Moved torch compile kwargs to be stored in model_options instead of attachments; attachments are more intended for things to be 'persisted', AKA not deepcopied
* Add some comments
* Remove random line of code, not sure how it got there
benjcooley