Comfy-Org/Wan_2.2_ComfyUI_Repackaged warn
claims base: nvidia/ChronoEdit-14B-Diffusers, Wan-AI/Wan2.2-Animate-14B, alibaba-pai/Wan2.2-Fun-A14B-Control-Camera, alibaba-pai/Wan2.2-Fun-A14B-Control, alibaba-pai/Wan2.2-Fun-5B-Control, alibaba-pai/Wan2.2-Fun-5B-InP, alibaba-pai/Wan2.2-Fun-A14B-InP, alibaba-pai/Wan2.2-VACE-Fun-A14B, Wan-AI/Wan2.2-I2V-A14B, Wan-AI/Wan2.2-S2V-14B, Wan-AI/Wan2.2-T2V-A14B, Wan-AI/Wan2.2-TI2V-5B, lightx2v/Wan2.2-Distill-Loras · chat template: not in config · view on Hugging Face ↗
Ingot findings
Static battery clean: safetensors weights, license declared, no template/tokenizer drift detected. Deep battery not yet run. Weights battery: embedding-norm scan over 256384 tokens (F16, 4096-dim) found 487 undertrained candidates, 0 plain-ASCII. Lineage vs nvidia/ChronoEdit-14B-Diffusers: consistent. Weights battery: embedding-norm scan over 256384 tokens (F16, 4096-dim) found 487 undertrained candidates, 0 plain-ASCII. Lineage vs nvidia/ChronoEdit-14B-Diffusers: inconsistent. Scanned 2026-08-20 (published from a community scan).
low Undertrained tokens in vocabulary (non-ASCII tail)
Embedding-norm scan flagged 487 undertrained tokens (norm < 0.3× the vocabulary median), but 0 decode to plain-ASCII strings, so exposure in English-language pipelines is limited. Behavioral confirmation requires the GPU deep battery.
How to fixruntime guardweight-level
Keep the affected token strings out of the model's input — the scan-derived runtime guard carries this model's exact blocklist.
- Fetch this model's guard artifact (`/api/v1/guard/<owner>/<model>`): the confirmed corrupting tokens and the low-norm candidate list, derived from the published scan.
- Screen inbound text with it (the `@ingotai/guard` package is a reference implementation) and route flagged records to a different model or human review — verbatim-copy tasks on flagged strings are the failure mode.
- The underlying cause is undertrained embeddings in the weights; a true fix is weight-level (continued pretraining on the affected tokens) — that is not a patch, it's a training job.
info Weights consistent with claimed parent nvidia/ChronoEdit-14B-Diffusers
Mean cosine similarity of 64 sampled token-embedding rows against nvidia/ChronoEdit-14B-Diffusers is 1.000 — the weights plausibly descend from the declared base (relation: unspecified).
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.
medium Weights inconsistent with claimed parent nvidia/ChronoEdit-14B-Diffusers
This model declares nvidia/ChronoEdit-14B-Diffusers as its base (relation: unspecified), but its token-embedding geometry is incompatible: 4096-dim embeddings vs the parent's 1152-dim. A finetune cannot change embedding width — the lineage label is wrong or misleading. Treat provenance claims on this repo (training data, safety posture, licensing) as unverified.
How to fix
Fix or verify the `base_model` declaration so lineage checks can run.
- If you own the repo: correct the `base_model` field in the model card metadata to the real, public parent.
- If you don't: identify the true parent (config architecture + weight shapes narrow it fast) and re-scan with that lineage in mind.
Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.
Fingerprint
The durable weights-and-metadata profile of this model, rebuilt on every scan and deep-battery run. Updated 2026-08-20.
| vocabulary | 256,384 tokens |
| license | apache-2.0 |
| serialization | safetensors |
| chat template | none |
| claimed lineage | nvidia/ChronoEdit-14B-Diffusers, Wan-AI/Wan2.2-Animate-14B, alibaba-pai/Wan2.2-Fun-A14B-Control-Camera, alibaba-pai/Wan2.2-Fun-A14B-Control, alibaba-pai/Wan2.2-Fun-5B-Control, alibaba-pai/Wan2.2-Fun-5B-InP, alibaba-pai/Wan2.2-Fun-A14B-InP, alibaba-pai/Wan2.2-VACE-Fun-A14B, Wan-AI/Wan2.2-I2V-A14B, Wan-AI/Wan2.2-S2V-14B, Wan-AI/Wan2.2-T2V-A14B, Wan-AI/Wan2.2-TI2V-5B, lightx2v/Wan2.2-Distill-Loras |
| lineage verified | inconsistent vs nvidia/ChronoEdit-14B-Diffusers |
| glitch-token surface | 487 undertrained candidates, 0 plain-ASCII |
Full fingerprint
| library | diffusion-single-file |
| pipeline | image-to-video |
| repo files | 45 |
| revision | c4f60d30c55a |
| HF snapshot | 4.9M downloads · 842 likes · updated 2026-08-17 · captured 2026-08-20 |
| embedding tensor | shared.weight · F16 · 256,384×4096 |
| embedding norms | median 624.43 · mean 618.5299 |
| lineage check | inconsistent — cosine undefined over undefined sampled rows vs nvidia/ChronoEdit-14B-Diffusers |
Verdict badge
Ship the verdict in your README — it always shows the latest published analysis:
[](https://ingot.tools/models/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)