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feat: add native LoRA stack loader nodes - #16309

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@jaeone94 jaeone94 commented Sep 14, 2026 •

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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.

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Summary

  • Register LoadLoraModel and LoadLoraTextEncoder. Each uses the internal _DynamicGroup constructor 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.
  • Resolve files through folder_paths.get_full_path_or_raise, load safely with metadata, and apply each LoRA through the existing comfy.sd.load_lora_for_models path.
  • Skip empty positions and zero-strength rows; pass negative strengths through and feed each patched result into the next row. No persistent LoRA cache is added.
  • Relative to the original proposal, use the validated strength instead of an execution-time default and remove the unadvertised "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

  • Authored by: interactive session; node implementation adapted from Talmaj's original PR linked above.
  • Verified: 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.
  • Verified: Reran the 93 tests above and Ruff for all three changed files on master at d49e888586dd8ae012c0667b33466b815fee07f7. 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.
  • Deviations: Real model inference, asset-picker integration and Cloud QA remain unverified. The separate frontend E2E uses a devtool node, not these production loaders.

@jaeone94
jaeone94 marked this pull request as draft September 14, 2026 05:44
@jaeone94
jaeone94 changed the base branch from jaeone94/dynamic-group-contract to jaeone94/dynamic-group-private October 6, 2026 04:52
@jaeone94
jaeone94 changed the base branch from jaeone94/dynamic-group-private to master October 6, 2026 05:15
@jaeone94
jaeone94 force-pushed the jaeone94/native-lora-stack branch from aef8034 to 0e5d418 Compare October 6, 2026 05:15
@jaeone94 jaeone94 added the cursor-review Trigger multi-model Cursor code review label Oct 6, 2026

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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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nodes.py (1)

2469-2469: LGTM!


📝 Walkthrough

Walkthrough

Adds 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 484e6

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 Review

Security architecture risk: 🔵 Low · up to 484e6

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
No architecture-level concerns identified.

Security review details

Security Blast Radius

  • inferred — A workflow submitter can select available LoRA files and strengths, affecting the chosen model or text encoder and downstream workflow results. File parsing and resource consumption remain within the existing execution process and inherited LoRA-loading authority. Existing chained loaders already expose this capability; the PR does not establish new credential authority or a cross-service attack path. Hosted tenant and asset-isolation policies were not available for verification.

Trust Boundaries and Controls

  • observed — Workflow-controlled row keys pass through bounded dynamic-input expansion before nested reconstruction. File names then pass through the existing resolver, which normalizes names and checks for a file under configured search paths. The resolver follows filesystem links and does not perform a realpath containment check, so it should not be described as a complete filesystem sandbox. That behavior predates this PR and is shared with the existing LoRA loader.

Resilience and Maintainability Implications

  • inferred — The standard server starts one prompt worker, completes each prompt execution before dequeuing another, and calls these synchronous node methods inline. This counters overlapping stack execution through the normal server path, despite shared underlying model modules. Patch metadata remains clone-owned, and temporary injection handling attempts restoration on context exit. These observations do not prove thread safety for external callers or recovery from arbitrary callback failures.
🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 7.14% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 14 functions across 3 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the main change: adding native LoRA stack loader nodes.
Description check ✅ Passed The description explains the loader nodes, their behavior, implementation, and validation. It is directly related to the changeset.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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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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🔇 Additional comments (2)
tests-unit/comfy_extras_test/nodes_lora_stack_test.py (1)

1-103: LGTM!

nodes.py (1)

2462-2462: LGTM!

Comment thread comfy_extras/nodes_lora_stack.py
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