First real generation through FunPack's nodes: SD1.5 on this Mac, real
weights, a real picture of an apple. Everything before this was static.
What it proved, on a real model rather than a fixture: the empty latent
takes its shape from SD1.5's own format with no family branch anywhere
(1, 4, 64, 64, an IMAGE latent from a pack built for video); the traits read
off the live model are predict_eps and spatial_latent; and ALG is correctly
absent, saying "needs temporal_latent", rather than running on a model with
no time axis.
What it found: the absolute-core-import bug again, this time INSIDE A
FUNCTION BODY. It imported fine, registered fine, passed 258 tests, and
raised at execute time -- during the generation. A suite that imports every
module cannot see an import that only happens when a node runs, so the check
for it is now static and walks the AST: no module may name `core` anywhere,
at any nesting, except through the shim.
The dev preview loaded one module in nine. It runs system python, which has
neither ComfyUI nor torch, so every module that imports either was absent
and the app looked almost empty while reporting nothing. It now re-execs
under ComfyUI's interpreter. Looking at the app is meant to be how the app
gets tested; it has to see what ComfyUI sees.
ALG asked for a mount point no region offered, so its panel vanished in
silence. The shell now offers one per stage, and a modules page lists what
loaded, what asked for a mount nothing offers, and what failed to import --
absence is correct behaviour and indistinguishable from "never installed",
so somewhere has to say which.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The NaN guard was on one of two doors. A FUNPACK_SETTINGS socket is typed by
a string tag, so a dict reaches the load node without necessarily having
passed through the settings node -- a raw API prompt does exactly that.
Through that door, until_sigma = NaN made ALG a permanent no-op: sigma > nan
is False at every step, so the anchor was never loosened, and the node
reported "1 modifier applied: alg". Nothing about the run looked wrong,
which is the only reason this is worth a commit of its own.
Values are now checked against the declaration at the point they are
consumed. The producer still checks too; that is not redundant, it is where
a person editing JSON gets told immediately.
Also recorded ALG's standing assumption rather than leaving it implicit: the
anchor is latent frame 0. True of everything it can currently be wired into,
untrue in general, and the denoise_mask already carries what would be needed
to do it properly. Left undone because nothing yet pins elsewhere, and a
derivation with no consumer cannot be checked against reality.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The claim in the last commit was too strong. Cloning stops this node
touching the model everyone else holds; it does nothing about the node's own
output coming back in. add_wrapper_with_key APPENDS under the key and a
clone carries the list, so chaining two of these -- two passes, a flattened
subgraph -- installed the same wrapper twice and ran it twice per step at
double strength, while both nodes reported "1 modifier(s) applied".
That is the accumulation this design is supposed to prevent, arriving
through a different door. Every install is now preceded by stripping our own
namespaced keys and saying how many were replaced. Foreign wrappers are
never in scope, which is what the namespace was for.
NaN passed validation: it compares False against both bounds, so a range
check alone never fires, and json.loads accepts NaN and the infinities by
default. A NaN strength reached a modifier and would have poisoned sampling
with nothing reported. Non-finite numbers are now refused by name.
A settings payload of the wrong shape raised AttributeError rather than the
error reporting everything else here uses; the socket type is only a string
match, so anything can arrive on it.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Two nodes. One carries the values a person picked, as a single validated
payload rather than a socket per setting -- a socket per setting means this
node's shape changes whenever any module gains an option, and every saved
workflow refers to sockets that moved.
The other reads what announced itself, filters it by what the model actually
is, orders it by declared relations, and installs each one through ComfyUI's
own patcher_extension wrappers. The consequence is checked against comfy's
real prepare_model_patcher and WrapperExecutor rather than against our own
dict: a model that has been through this node runs every per-step modifier
inside ComfyUI's own SamplerCustomAdvanced. The sampler is not consulted, so
it cannot own them.
Installing happens on a clone, and clone() copies the wrapper lists per key,
so the model everyone else holds is untouched. Fifty runs leave zero
wrappers behind. The accumulation that once degraded output across a hundred
generations and survived every reset short of a restart is structurally
impossible here rather than something to remember to undo.
The payload is validated against the same declaration that renders the
panel: an undeclared key, a wrong type, a value outside its own bounds and a
bool passed as a number are all refused, and all problems are reported at
once. v4 validated none of it, which is why it needed a hand-mirrored table
of every default and a list of keys that no longer meant anything.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
