Metalcification LoRA for Wan 2.2: Turn Objects into Metal
Create metalcification video effects with this Wan 2.2 I2V LoRA. Trigger word, ComfyUI setup, high/low noise variants.
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Metalcification LoRA for Wan 2.2: Turn Objects into Metal
- What it does: Transforms objects in video into metallic versions with realistic textures and reflections
- Trigger word:
Metalcification - Base model: Wan Video 2.2 I2V-A14B (14B parameters)
What Is Metalcification?
Metalcification is a LoRA for Wan 2.2 I2V that creates a gradual metallization effect. Objects in the generated video transition from their original material into polished metal — capturing surface reflections, highlights, and texture changes frame by frame. The effect works on any subject: organic shapes, manufactured objects, architectural elements.
The LoRA was trained with sponsorship from Redmond Ai and released under CC0-1.0, making it free for commercial and non-commercial use.
Trigger Word
Use Metalcification in your prompt. The model was trained on this single trigger word — it activates the full transformation sequence. Example:
Metalcification, a wooden chair transforming into polished chrome, cinematic lighting
Two Variants: High Noise vs Low Noise
The release includes two SafeTensor files: Variant | File | Best For
|---------|------|----------
Low Noise | [WAN2.2]Metalcification_Redmond_low_noise.safetensors | Clean, subtle metallization, fewer artifacts High Noise | [WAN2.2]Metalcification_Redmond_high_noise.safetensors | Dramatic, aggressive metal transformation Start with low noise at strength 0.8–1.0. Increase strength or switch to high noise if the effect is too subtle.
ComfyUI Setup
- Place both
.safetensorsfiles inComfyUI/models/loras/ - Add a Load LoRA node after your Wan model loader
- Connect model output → Load LoRA
modelinput - Select the variant (low noise recommended first)
- Connect Load LoRA
MODELoutput → KSampler - Set
strength_modelto 0.8–1.0
Ensure your ComfyUI environment already runs Wan models (see ComfyUI Wan guide).
Recommended Settings
- LoRA strength: 0.8–1.0
- Base model: Wan Video 2.2 I2V-A14B
- Sampler: Any compatible with Wan (euler_ancestral, dpmpp_2m, etc.)
- CFG: 5–7 typical for Wan
- Steps: 20–30
License
CC0-1.0 — public domain dedication. Free for any use including commercial.
Common Errors and Fixes
Error | Cause | Fix
|-------|-------|-----
No metallization visible | Trigger word missing or misspelled | Add exact Metalcification to prompt Artifacts / flickering | Strength too high or high-noise variant | Lower strength to 0.7–0.8 or switch to low-noise variant Model not loading | Wrong base model | Use Wan Video 2.2 I2V-A14B (not T2V or 1.3B variants)
FAQ
Q: Does this work with Wan T2V (text-to-video) models? A: The HF card lists Wan2.2-T2V-A14B as base, but Civitai specifies I2V-A14B. Test with I2V first; T2V may work but isn't the primary target.
Q: Can I use only one of the two LoRA files? A: Yes. Low noise is the safer default. High noise is for stronger effect.
Q: Is there a recommended resolution? A: Wan 2.2 I2V works at 480p–720p typically. Higher resolutions need more VRAM.
Sources
- HuggingFace model card: https://huggingface.co/artificialguybr/Metalcification-Redmond-WAN2-I2V-14B
- Civitai model page: https://civitai.com/models/2203812
- Base model (Wan 2.2 I2V): https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B
- ComfyUI: https://github.com/comfyanonymous/ComfyUI