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>
189 lines
8.0 KiB
Python
189 lines
8.0 KiB
Python
"""Modifiers: what the user chose, and putting it on the model.
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Two nodes, because the two jobs are genuinely different. One carries the values a
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person picked; the other reads what is installed and applies whatever announced
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itself. Neither names a modifier, and no sampler is involved in either.
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**Modifiers attach to the MODEL, not to a sampler.** They install through
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ComfyUI's own `patcher_extension` wrappers on a CLONE of the patcher, which has
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two consequences worth stating:
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* Wire the resulting model into ComfyUI's own SamplerCustomAdvanced and every
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per-step modifier still runs. The sampler's cooperation is not required, so no
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sampler can own them -- which is the whole architectural claim, made physical.
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* `ModelPatcher.clone()` copies the wrapper lists per key, so installing on the
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clone cannot touch the model everyone else is holding.
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That second point protects the ORIGINAL, and on its own it does not stop this
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node's own output being fed back in. `add_wrapper_with_key` APPENDS to a list
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under the key, and a clone carries that list, so running a model through here
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twice -- two passes, a flattened subgraph, anything that chains -- installed the
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same wrapper twice and ran it twice per step at double strength, reporting
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"1 modifier applied" both times. So every install is preceded by stripping our
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own keys: tag, then strip, which is the discipline the leaked-hook fault taught
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this project the first time. Foreign keys are never touched.
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"""
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import json
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from comfy_api.latest import io
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from ..._core import log, registry as registry_mod, schema as schema_mod
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CAPABILITY = "modifier"
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# Namespaced so removing ours never touches a wrapper somebody else installed.
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KEY_PREFIX = "funpack."
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def strip_ours(patcher) -> int:
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"""Remove every wrapper and callback THIS pack installed, and nothing else.
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Keys are namespaced, so a foreign wrapper is never in scope. Without this,
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running a model through the loader twice appends a second copy of each
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wrapper under the same key and it runs twice per step -- the accumulation
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this design is supposed to make impossible, arriving through a different door.
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"""
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removed = 0
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for holder in (getattr(patcher, "wrappers", None), getattr(patcher, "callbacks", None)):
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if not isinstance(holder, dict):
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continue
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for by_key in holder.values():
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if not isinstance(by_key, dict):
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continue
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for key in [k for k in by_key if isinstance(k, str) and k.startswith(KEY_PREFIX)]:
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by_key.pop(key, None)
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removed += 1
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return removed
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class FunPackModifierSettings(io.ComfyNode):
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"""The values a person picked, on their way to the graph.
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One widget, not one per setting. A socket per setting would mean this node's
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shape changing every time any module gained an option, and every saved
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workflow referring to sockets that had moved.
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"""
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@classmethod
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="FunPackModifierSettings",
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display_name="FunPack Modifier Settings",
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category="FunPack/Sampling",
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description="Settings for every FunPack modifier, as one payload.",
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inputs=[
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io.String.Input(
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"settings", multiline=True, default="{}",
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tooltip='{"module_id": {"setting": value}}. The app writes this; '
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'editing it by hand is fine, and mistakes are reported.'),
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],
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outputs=[
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io.Custom("FUNPACK_SETTINGS").Output(display_name="settings"),
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io.String.Output(display_name="status"),
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],
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)
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@classmethod
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def execute(cls, settings: str) -> io.NodeOutput:
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text = (settings or "").strip() or "{}"
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try:
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raw = json.loads(text)
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except ValueError as exc:
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raise RuntimeError(f"FunPack Modifier Settings: this is not valid JSON -- {exc}")
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if not isinstance(raw, dict):
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raise RuntimeError(
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f"FunPack Modifier Settings: expected an object keyed by module id, "
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f"got {type(raw).__name__}.")
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specs = registry_mod.current().specs
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problems, checked = [], {}
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for module_id, values in raw.items():
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spec = specs.get(module_id)
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if spec is None:
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# Silently ignoring it is how v4 accumulated settings that meant
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# nothing and a list of dead keys to remember.
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problems.append(f"no module named {module_id!r} is installed.")
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continue
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clean, said = schema_mod.check_values(spec, values)
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checked[module_id] = clean
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problems.extend(said)
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if problems:
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raise RuntimeError("FunPack Modifier Settings:\n " + "\n ".join(problems))
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named = ", ".join(sorted(checked)) or "nothing set"
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return io.NodeOutput(checked, f"settings for {named}")
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class FunPackLoadModifiers(io.ComfyNode):
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"""Whatever announced itself, filtered by this model, installed in order."""
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@classmethod
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def define_schema(cls) -> io.Schema:
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return io.Schema(
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node_id="FunPackLoadModifiers",
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display_name="FunPack Load Modifiers",
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category="FunPack/Sampling",
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description="Apply the enabled modifiers to a model. Works with any sampler.",
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inputs=[
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io.Model.Input("model"),
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io.Custom("FUNPACK_SETTINGS").Input("settings", optional=True),
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],
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outputs=[
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io.Model.Output(display_name="model"),
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io.String.Output(display_name="status"),
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],
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)
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@classmethod
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def execute(cls, model, settings=None) -> io.NodeOutput:
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from ..._core import traits as traits_mod
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from core.relations import order
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if settings is not None and not isinstance(settings, dict):
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raise RuntimeError(
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f"FunPack Load Modifiers: settings must be an object keyed by module "
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f"id, got {type(settings).__name__}. Wire FunPack Modifier Settings "
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f"into this input.")
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registry = registry_mod.current()
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specs = list(registry.specs.values())
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# What this model actually is, read off the model itself.
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available = traits_mod.traits_of(model, specs)
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offering = [spec for spec in specs if spec.provides.get(CAPABILITY)]
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compatible, incompatible = traits_mod.split(offering, available)
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ordered, rejected = order(compatible)
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patched = model.clone()
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stripped = strip_ours(patched)
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applied, notes = [], []
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if stripped:
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notes.append(f"replaced {stripped} modifier(s) already on this model")
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for spec in ordered:
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values = (settings or {}).get(spec.id) or spec.defaults()
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install = spec.provides[CAPABILITY]
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try:
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note = install(patched, values, key=KEY_PREFIX + spec.id)
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except Exception as exc: # noqa: BLE001
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# Absent, and said out loud. A modifier that half-installed and
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# carried on is how a run silently stops meaning what it says.
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log.failed(f"{spec.id}.{CAPABILITY}", exc)
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notes.append(f"{spec.id}: failed to install -- {type(exc).__name__}: {exc}")
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continue
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if note is None:
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continue # the module decided it is off
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applied.append(spec.id)
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notes.append(f"{spec.id}: {note}")
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for spec in incompatible:
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notes.append(f"{spec.id}: needs {', '.join(traits_mod.missing_for(spec, available))}")
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for spec, why in rejected:
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notes.append(f"{spec.id}: {why}")
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headline = f"{len(applied)} modifier(s) applied" + (f": {', '.join(applied)}" if applied else "")
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return io.NodeOutput(patched, "\n".join([headline, f"model traits: {', '.join(available) or 'none read'}", *notes]))
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