feat: Marigold v2 support (CORE-431) - #16232
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📝 WalkthroughWalkthroughThe PR adds safetensors-based conditioning load and save nodes. It adds image-to-image velocity sampling for SD3 and AuraFlow. It adds Marigold V2 post-processing for normals, albedo, and depth predictions. The Marigold extension is registered during built-in extra-node startup. Priority: ➖ Normal Merge Risk: 🟡 Moderate · up to The new sampling mode is unavailable through the SD3 node, and saved conditioning can change shape when reloaded. These limitations affect intended workflows and should be resolved before merge. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Actionable comments posted: 2
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Inline comments:
In `@comfy_extras/nodes_cond.py`:
- Around line 124-125: Update the SaveConditioning/ConditioningLoader handling
of tensor-list values so an empty reference_latents list is not silently lost;
either reject empty tensor lists consistently or persist an explicit marker and
reconstruct the empty list during loading. Preserve existing serialization for
non-empty tensor lists and use the relevant Conditioning symbols to keep the
change scoped.
In `@comfy_extras/nodes_model_advanced.py`:
- Line 132: Update ModelSamplingSD3.INPUT_TYPES to declare the optional sampling
selector already supported by ModelSamplingSD3.patch, matching the selector
exposed by ModelSamplingAuraFlow so “img_to_img_velocity” can be passed through.
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comfy/model_sampling.pycomfy_extras/nodes_cond.pycomfy_extras/nodes_marigold.pycomfy_extras/nodes_model_advanced.pynodes.py
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Community-contributed extra nodes.
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comfy_extras/nodes_marigold.pycomfy_extras/nodes_model_advanced.pycomfy_extras/nodes_cond.py
Core node definitions (2500+ lines).
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nodes.py
Core ML/diffusion engine.
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comfy/model_sampling.py
IMPORTANT: Only comment on issues directly introduced by this PR's code changes.
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nodes.pycomfy_extras/nodes_marigold.pycomfy/model_sampling.pycomfy_extras/nodes_model_advanced.pycomfy_extras/nodes_cond.py
Documentation and README edits should be concise, factual, and tied to the changed behavior.
📄 CodeRabbit inference engine (AGENTS.md)
Files:
nodes.pycomfy_extras/nodes_marigold.pycomfy/model_sampling.pycomfy_extras/nodes_model_advanced.pycomfy_extras/nodes_cond.py
🪛 ast-grep (0.45.3)
comfy_extras/nodes_cond.py
[info] 132-132: use jsonify instead of json.dumps for JSON output
Context: json.dumps(values)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🔇 Additional comments (2)
comfy_extras/nodes_marigold.py (1)
1-49: LGTM!nodes.py (1)
2542-2542: LGTM!
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Working nicely! Depth: 
Normal: 
Albedo: 
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2 participants
Models:
https://huggingface.co/Comfy-Org/marigold-v2-0
Adds support for Marigold V2 depth/normals/albedo: LoRAs on Qwen-Image-Edit-2509, run as a single deterministic step.
IMG_TO_IMG_VELOCITYsampling type, selectable onModelSamplingAuraFlow(samplinginput, default unchanged)models/embeddings), used for the fixed prompt embeddingsVerified against the reference implementation: parity at bf16 precision.
marigoldv2_test.json