The drop message named three keys and a count with no file attached, and
note_on_change keyed it globally, so in a stack only the first LoRA's shapes
were ever printed. Each file now carries its name into its own log key, and
the count is reported as dropped-of-matched: 51 of 400 is a variant mismatch,
51 of 51 is a file that contributes nothing.
Adds one stack-level line. Every LoRA dropping every weight is not a property
of the LoRAs but of the model they were all measured against, and that is the
reading worth making explicit.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
comfy merges with mm(...).reshape(weight.shape) and adds the result. The
reshape succeeds on any pair with the right element count, so loosening the
drop test to a count comparison let transposed and differently fused deltas
merge in silence. A correct adapter always produces exactly
(weight.shape[0], weight.shape[1:].numel()); anything else fitting by count
corrupts the weight at load and surfaces mid-render as an all-NaN latent.
The two abstentions kept: a locon mid and a padded reshape target are still
left to comfy rather than dropped.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The check was stricter than the merge it was protecting. comfy merges with
mm(mat1.flatten(1), mat2.flatten(1)).reshape(weight.shape), so the element
count is the constraint, not the two dimensions — and a locon `mid` or a
`reshape` entry changes what the delta has to fit at all. Those two now
abstain instead of dropping, and the count is what is compared.
The message carries both shapes. "Trained against a different variant" says
nothing you can act on; "LoRA 5376x5376 into weight 16128x5376" says whether
every layer is off by one factor (a different width, nothing to do) or only
some are (a fusion or naming difference, fixable).
Comfy materialises the full delta before discovering it will not
reshape: 51 blocks x 96768x2688 on a curve-form H3 checkpoint, ~25 GB
churned in bf16, for adapters that could never have applied.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Curve-form H3 checkpoints read adaLN from a compact basis, so a full-width
turbo LoRA matches all 51 adaLN keys and merges into none. Named explicitly
instead of 51 generic warnings under a clean-looking status line.
