FunPack owns its loading pipeline, so the causal lane must not need a
third-party loader node in the graph. `raven_lora` on FunPack Diffusion Model
Loader turns an ordinary H3 checkpoint into the chunk-causal DiT with the
adapter attached. Same checkpoint either way — it is a LoRA, there is no
separate RAVEN model file, and every message now says so.
The weight load itself is DELEGATED to the RAVEN package rather than
reimplemented, and not for convenience: the adapter is an FP32 activation
residual registered on the base Linear leaves and must be attached before the
ModelPatcher is built. ModelPatcher.model_size() memoises, so an adapter
attached afterwards is invisible to Comfy's memory ledger and never moved by
partial CPU offload — the model would report itself smaller than it is and the
residual would end up on the wrong device.
Selecting a LoRA when the causal class is unavailable RAISES with the fix in
the message, rather than quietly loading a plain model: a model without the
adapter would leave the causal lane reading an attention pattern nothing was
trained for, which reads as a quality problem with no visible cause.
Strength is fixed at 1.0 — the adapter is what teaches the chunked attention
pattern, so "partly on" is not a useful state.
Tests: 1730 passed (+12).
digital-garbage
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