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feat: add native LoRA stack loader nodes (CORE-186) - #16309
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🧠 Learnings (1)📓 Common learnings📝 WalkthroughWalkthroughAdds model and text-encoder nodes that accept ordered stacks of up to 20 LoRAs. The nodes skip rows without a file, disabled rows, or rows with zero strength. They load selected files with metadata and apply the remaining LoRAs to their target. The extension registers both nodes, and the built-in extra-node loader includes the extension. Priority: ➖ Normal
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| Docstring Coverage | Docstring coverage is 6.25% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 16 functions across 3 files. | Write docstrings for the functions missing them to satisfy the coverage threshold. |
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| Title check | ✅ Passed | The title clearly and concisely identifies the main change: adding native LoRA stack loader nodes. |
| Description check | ✅ Passed | The description directly explains the new LoRA stack nodes, their behavior, validation, registration, testing, and rollout context. |
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Review comments at @comfy_extras/nodes_lora_stack.py:
- Line 52: In the LoRA row-processing methods, including LoadLoraTextEncoder,
read strength with the optional-field accessor and skip the row when strength is
None or zero, so missing strengths never reach load_lora_for_models.
- Around line 39-40: Update the `loras` group minimum in both schemas from 1 to
0 so empty submissions are accepted; preserve the existing `max=20` limit.
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tests-unit/comfy_extras_test/nodes_lora_stack_test.py (1)
1-103: LGTM!nodes.py (1)
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…#20305) ## ELI5 Repeated LoRA rows should each offer the same model picker as a normal LoRA loader. A model input can now be registered by an exact widget name or a name pattern, including the two native LoRA stack nodes. ## Motivation The native loaders repeat filename inputs as `loras.<index>.lora_name`. An exact registration only covers one row. Listing every index would couple the frontend to a backend row limit and miss rows restored from an over-limit workflow. ## Summary - Keep three-field model mappings: `[modelDirectory, nodeClass, string | RegExp]`. Register `LoadLoraModel` and `LoadLoraTextEncoder` with one shared filename pattern, without a separate row-zero key. - Use one matcher for picker eligibility, model drops, and preview value bindings. Strings match literally; regex checks remain stable with `g` and `y`. Empty widget names remain ineligible. - Carry the selector and filename through model drags, then fill the first matching widget on the created or existing node. Resolve preview bindings when their inputs change before looking values up by name. - Include repeated filename inputs in agent deployment briefs for both named and positional workflow values, using the same matcher as the asset UI. - Preserve the Cloud-only picker gate and existing category/provider selection. The registrations become available when the backend exposes the node types; no separate feature flag is added. ## Drop behavior Model drops fill the first matching widget in node order. They do not target the hovered row, distribute multiple files among rows, or create missing rows. Repeated drops may replace the same widget's value. This is the current node-level drop limitation. Clicking a row's asset picker still edits that specific row. Expanding DynamicGroup rows in drag previews is separate work. ## Extension migration notes Existing string registrations and empty auto-load keys keep their behavior. A repeated filename registration can use `quickRegister('loras', 'MyLoader', /^items\.\d+\.filename$/)`; every matching widget gets picker eligibility, while a model drop fills only the first match. Asset categories are still selected per node type, so this does not add per-widget categories. Code importing the internal drag composable or preview component must change `widgetValues: { filename: value }` to `widgetValues: [{ selector: 'filename', value }]`. `ModelNodeProvider.key` and `getRegisteredNodeTypes()` entries can now be `RegExp`; use `isModelWidget(nodeType, widgetName)` for eligibility instead of comparing a widget name with the selector. Graph serialization, widget names, callbacks, and `node.widgets` layout are unchanged. ## Reviewer context - **Type:** Feature, dynamic asset input matching with native LoRA loaders as its first consumers. - **Slots into:** [Comfy-Org/ComfyUI#16309: feat: add native LoRA stack loader nodes](Comfy-Org/ComfyUI#16309). [Comfy-Org#20307: test: validate native LoRA stack assets and execution](Comfy-Org#20307) is the child integration PR, including asset selection and real CPU prompt execution against the pinned native backend. Cloud model preparation remains separate rollout work. ## Test plan - Check picker eligibility for both native loaders across row indices and after row removal/renumbering. - Check static loaders, auto-loading providers, and OSS combo widgets retain their behavior. - Drop a model onto a node with multiple matching widgets and verify only the first changes. Check new-node placement, preview values, and the warning when placement has no matching widget. ## Provenance - **Authored by:** interactive session - **Verified:** Latest main merge: 231 targeted unit tests passed across model binding/placement, sidebar/preview, and agent-handoff/build-input suites (single worker). The named LoRA model-list regression failed before the handoff adaptation and passed after. Commit hooks passed formatting/lint and all selected project typechecks; pre-push Knip/Fallow passed. Earlier selector implementation was also verified red→green against the previous implementation. - **Deviations:** The child Native LoRA E2E branch is being refreshed separately against the merged backend. Real Cloud model preparation and execution still require staging QA.
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The Core PR Comfy-Org/ComfyUI#16309 introduces two new Load LoRA nodes. This PR is to bump these new nodes in the search results. --------- Co-authored-by: Amp <amp@ampcode.com>
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ELI5
Apply several LoRAs in order using one node, with a file, strength and on/off switch for each row. Separate nodes apply the list to either the diffusion model or the text encoder.
Reviewer context
master, which includes refactor: keep DynamicGroup internal while stabilizing #16811 — refactor: keep DynamicGroup internal while stabilizing. The contribution is limited to the loader module, its registration and tests.75a51b6133e5ff9652bc7d7d84f6a7a2bda57eb1.Summary
LoadLoraModelandLoadLoraTextEncoder. Each uses the internal_DynamicGroupconstructor with a filename/strength/enabled template and 1–20 rows, matching the current core limit. This built-in consumer does not re-export the unstable authoring API.folder_paths.get_full_path_or_raise, load safely with metadata, and apply each LoRA through the existingcomfy.sd.load_lora_for_modelspath.enabledswitch (defaulttrue) after the filename and strength in each row. Switching off preserves those values and skips file loading and patch application; switching on uses the saved strength."none"filename sentinel. File failures propagate through the resolver.Review decisions
min=1intentionally so the node retains one editable row. A valid row with zero strength is a no-op; zero submitted rows are rejected.max=20also limits the highest accepted row index to 19.enabledare required within each submitted row. Disabled rows still undergo normal prompt validation; the switch only controls execution. Missing or null strength is rejected during prompt validation before execution. All-Nonedictionaries represent absent positions and are skipped via the empty filename.Rollout and validation
Keep this PR open for review and integration testing while DynamicGroup stabilizes. The private Python constructor does not hide registered loader nodes from users. Coordinate frontend asset-picker support and compatible Cloud release preparation before launching these nodes.
With the companion frontend, compare two available LoRAs with sequential existing loaders, including zero and negative strengths and disabling/re-enabling a row. Verify editing and saving/reopening both loaders, then validate real asset preparation and execution for the release combination.
Provenance
59e1c3c61994cfcc57cd8ca1ba6ff948f4667c4b,python -m pytest tests-unit/comfy_extras_test/nodes_lora_stack_test.py tests-unit/comfy_api_test/io_dynamic_group_test.py -q— 97 passed, including 13 loader cases. The two disable/re-enable cases failed before the change and passed afterward. Coverage includes the default-on schema, no file access or patching for disabled rows, preserved file/strength when re-enabled, active rows after a disabled row, sparse positions, routing, metadata and index limits.enabled, disabled rows with missing strength, and index limits throughexecution.validate_inputs, plus positive, negative and zero strengths, disabled rows, two-LoRA composition, sparse positions and index 19. Source weights remained unchanged. This probe is local evidence, not an added CI test.python -m ruff check .andgit diff --checkpassed.