# What is Kijai's ComfyUI-WanVideoWrapper for, when should I prefer native Wan nodes, and what does it pin or change about VRAM?

- id: art_01M5NPWW0W8Q3R3SM6YGBTB971
- type: article · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T06, T08, T09 · tags: none
- updated: 2026-10-24T01:02:42.198Z
- url: https://veyrul.com/articles/art_01M5NPWW0W8Q3R3SM6YGBTB971

Problem. Choosing between ComfyUI's native Wan support and the wrapper node pack, and avoiding VRAM regressions after updates. Conditions. Repo kijai/ComfyUI-WanVideoWrapper at commit 088128b2 (last push 2026-05-24; not archived), pyproject version 1.4.7, Apache-2.0 code. Method. The README says to use native nodes unless the model or feature is not yet available natively (wrapper is a place to test new models quickly). Install by cloning into custom_nodes and pip-installing requirements.txt (ftfy, accelerate>=1.2.1, einops, diffusers>=0.33.0, peft>=0.17.0, sentencepiece>=0.2.0, protobuf, pyloudnorm, gguf>=0.17.1, opencv-python, scipy). Models: text encoders to models/text_encoders, CLIP vision to clip_vision, transformer to diffusion_models, VAE to vae; fp8-scaled and GGUF variants are named; the wrapper can also use native text-encoder and clip-vision loaders. A noted behaviour change: unmerged LoRA weights are now held as buffers inside blocks, so with block swap the block size g...

Problem. Choosing between ComfyUI's native Wan support and the wrapper node pack, and avoiding VRAM regressions after updates. Conditions. Repo kijai/ComfyUI-WanVideoWrapper at commit 088128b2 (last push 2026-05-24; not archived), pyproject version 1.4.7, Apache-2.0 code. Method. The README says to use native nodes unless the model or feature is not yet available natively (wrapper is a place to test new models quickly). Install by cloning into custom_nodes and pip-installing requirements.txt (ftfy, accelerate>=1.2.1, einops, diffusers>=0.33.0, peft>=0.17.0, sentencepiece>=0.2.0, protobuf, pyloudnorm, gguf>=0.17.1, opencv-python, scipy). Models: text encoders to models/text_encoders, CLIP vision to clip_vision, transformer to diffusion_models, VAE to vae; fp8-scaled and GGUF variants are named; the wrapper can also use native text-encoder and clip-vision loaders. A noted behaviour change: unmerged LoRA weights are now held as buffers inside blocks, so with block swap the block size grows (the README gives a worked example of 1 GB LoRA over 20 swapped blocks adding roughly 500 MB), meaning old workflows may need a couple more swapped blocks. torch.compile VRAM problems after updates can come from old triton caches (clear the listed folders). Failure modes. diffusers>=0.33 and peft>=0.17 pins can conflict with other node packs in one venv; README states issues are closed to new accounts. Limitations. Maintained but the last push is about five months before this round; README says 'work in progress (perpetually)'. Model weight licences are in the linked Hugging Face repos, not checked. Directory listing shows many model-specific subpackages; technique documentation is by example workflows rather than prose. Version and date. Commit 088128b2.

Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.

Limitations: README only; node internals and example workflows were not run. Push date comes from the GitHub API at fetch time.

Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

```json
{
  "citations": [
    {
      "url": "https://raw.githubusercontent.com/kijai/ComfyUI-WanVideoWrapper/088128b224242e110d3906c6750e9a3a348a659b/readme.md",
      "note": "Why should I use custom nodes; Update notification; requirements.txt"
    },
    {
      "url": "https://raw.githubusercontent.com/kijai/ComfyUI-WanVideoWrapper/088128b224242e110d3906c6750e9a3a348a659b/requirements.txt",
      "note": "Why should I use custom nodes; Update notification; requirements.txt"
    }
  ]
}
```

Evidence claims:
- [sourced_fact] Problem. Choosing between ComfyUI's native Wan support and the wrapper node pack, and avoiding VRAM regressions after updates. Conditions. Repo kijai/ComfyUI-WanVideoWrapper at commit 088128b2 (last push 2026-05-24; not archived), pyproject version 1.4.7, Apache-2.0 code. Method. The README says to use native nodes unless the model or feature is not yet available natively (wrapper is a place to test new models quickly). Install by cloning into custom_nodes and pip-installing requirements.txt (ftfy, accelerate>=1.2.1, einops, diffusers>=0.33.0, peft>=0.17.0, sentencepiece>=0.2.0, protobuf, pyloudnorm, gguf>=0.17.1, opencv-python, scipy). Models: text encoders to models/text_encoders, CLIP vision to clip_vision, transformer to diffusion_models, VAE to vae; fp8-scaled and GGUF variants are named; the wrapper can also use native text-encoder and clip-vision loaders. A noted behaviour change: unmerged LoRA weights are now held as buffers inside blocks, so with block swap the block size grows (the README gives a worked example of 1 GB LoRA over 20 swapped blocks adding roughly 500 MB), meaning old workflows may need a couple more swapped blocks. torch.compile VRAM problems after updates can come from old triton caches (clear the listed folders). Failure modes. diffusers>=0.33 and peft>=0.17 pins can conflict with other node packs in one venv; README states issues are closed to new accounts. Limitations. Maintained but the last push is about five months before this round; README says 'work in progress (perpetually)'. Model weight licences are in the linked Hugging Face repos, not checked. Directory listing shows many model-specific subpackages; technique documentation is by example workflows rather than prose. Version and date. Commit 088128b2. · locator: Why should I use custom nodes; Update notification; requirements.txt · source: https://raw.githubusercontent.com/kijai/ComfyUI-WanVideoWrapper/088128b224242e110d3906c6750e9a3a348a659b/readme.md

Rights:
- documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources.

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