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🔍 Cursor Review — Consolidated panel
Triggered by @jaeone94.
Found 3 finding(s).
| Severity | Count |
|---|---|
| 🟡 Medium | 1 |
| 🟢 Low | 2 |
Panel: 8/8 reviewers contributed findings.
| def execute(cls, model, loras: list[dict]) -> io.NodeOutput: | ||
| for row in loras: | ||
| lora_name = row.get("lora_name") | ||
| strength = row["strength"] |
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🟡 Medium — Line 51 reads row.get("lora_name") but line 52 uses direct row["strength"]. A row that supplies lora_name without a strength yields None (sparse rows build as {'lora_name': None, 'strength': None}), and since None == 0 is False the row isn't skipped, so None flows into load_lora_for_models and crashes during tensor math; a hand-built row missing the key also raises KeyError. Use row.get("strength") and skip when it is None. Same issue at line 88 in LoadLoraTextEncoder. Raised by 4 of 8 reviewers (gemini-3.1-pro adversarial, kimi-k2.7-code adversarial, gemini-3.1-pro edge-case, kimi-k2.7-code edge-case).
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The template declares strength as required, not optional. I verified both native nodes through validate_inputs: omitting it returns required_input_missing and submitting null returns invalid_input_type, before execution. Sparse gaps contain both keys with None values and are already skipped because lora_name is empty. A hand-built execute call bypassing validation does not represent an accepted prompt, so we are keeping the required-field contract rather than silently skipping malformed submitted rows.
| if not lora_name or strength == 0: | ||
| continue | ||
| lora, metadata = _load_lora_file(lora_name) | ||
| model, _ = comfy.sd.load_lora_for_models(model, None, lora, strength, 0, lora_metadata=metadata) |
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🟢 Low — load_lora_for_models(..., lora_metadata=metadata) runs once per row, so each metadata-bearing LoRA overwrites the model's single lora_metadata attachment. When an IC-LoRA is stacked ahead of another metadata LoRA, its patches stay active but GetICLoRAParameters can no longer read reference_downscale_factor. Same pattern at line 92 for the text-encoder node. Raised by 1 of 8 reviewers (gpt-5.6-sol-max edge-case).
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Tracked in #16834 (Preserve IC-LoRA metadata when composing multiple LoRAs). The same shared helper also overwrites this attachment when existing LoRA loaders are chained, so we will define metadata retention/selection as a shared follow-up rather than introduce a stack-only merge policy here.
| _DynamicGroup.Input( | ||
| "loras", | ||
| template=_lora_template(), | ||
| min=1, |
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🟢 Low — min=1/max=20 on the loras _DynamicGroup conflict with execute's behavior and repo convention: execute treats loras=[] as a valid no-op so the minimum should be 0, and there is no real limit on stacked LoRAs so the cap of 20 (also at lines 75/76) needlessly rejects a 21st row. Set min=0 and drop the arbitrary cap. Raised by 1 of 8 reviewers (gpt-5.6-sol-max edge-case).
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We are intentionally keeping min=1 so the node retains at least one editable row; accepting a zero-row prompt is not part of this node's chosen contract. max=20 matches the current DynamicGroup hard limit, and omitting max still defaults to 20. Removing that limit would require a separate change to the shared contract.
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📝 WalkthroughWalkthroughAdds model and text-encoder nodes that accept ordered stacks of up to 20 LoRAs. The nodes skip rows without a file or with zero strength, 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 Merge Risk: ⚪ Minimal · up to The supported API rejects missing strengths, and zero-row stacks are outside the nodes’ declared input range. No actionable merge risk remains in the reviewed changes. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to The new nodes reuse the loading safeguards and patching behavior of existing LoRA workflows. No introduced security issue was established, but compatible frontend and hosted releases remain unverified. Retained concerns Security review detailsSecurity Blast Radius
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Resilience and Maintainability Implications
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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Actionable comments posted: 2
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
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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Community-contributed extra nodes.
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Core node definitions (2500+ lines).
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🔇 Additional comments (2)
tests-unit/comfy_extras_test/nodes_lora_stack_test.py (1)
1-103: LGTM!nodes.py (1)
2462-2462: LGTM!
ELI5
Apply several LoRAs in order using one node, with a file and strength for each row. Separate nodes apply the list to either the diffusion model or the text encoder.
Reviewer context
master, which now includes refactor: keep DynamicGroup internal while stabilizing #16811 — refactor: keep DynamicGroup internal while stabilizing. This PR contains one commit with only the loader module, its registration and tests.75a51b6133e5ff9652bc7d7d84f6a7a2bda57eb1.Summary
LoadLoraModelandLoadLoraTextEncoder. Each uses the internal_DynamicGroupconstructor with a filename/strength 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."none"filename sentinel. File failures propagate through the resolver.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 the required frontend asset-picker support and compatible Cloud release before launching these nodes.
With the companion frontend, compare two available LoRAs with sequential existing loaders, including zero and negative strengths. Verify editing and saving/reopening both loaders, then validate real asset preparation and execution for the release combination.
Provenance
python -m pytest tests-unit/comfy_extras_test/nodes_lora_stack_test.py tests-unit/comfy_api_test/io_dynamic_group_test.py -q— 93 passed, including 9 loader cases. Real contract reconstruction covers sparse rows and the accepted index 19/rejected index 20 boundary; file loading and model patching are mocked to check order, routing, metadata and failures.masteratd49e888586dd8ae012c0667b33466b815fee07f7. The contribution is one commit above that base, with a clean whitespace check. The resulting file tree is identical to the previous PR head; only the branch history and base changed.