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rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Model Card

Bernini-R Motion Enhancer I2V n4w

LTX-2.3 Add Custom Audio to WAN2.2 / Bernini-R Wordkflow demo <video controls width="100%" height="720"> <source src="https://huggingface.co/rzgar/Wan2.2-Bernini-R-Motion-Enhancer-n4w-i2v/resolve/main/DemoWAN2.2BerniniRAddCustomAudioLTX-2.302.mp4" type="video/mp4"> Your browser does not support the video tag. </video>

Model description

LoRA pack for Bernini-R and vanilla Wan 2.2 I2V tuned for image-to-video workflows. Includes main motion enhancers (strong focus on motion & rhythm via targeted FFN/attention zeroing) + appearance-only enhancers for anatomical accuracy. Respond well to explicit prompts describing different acts.

Main Motion Enhancers

File	Variant
`berninin4wmotionenhancerhigh.safetensors`	High noise
`berninin4wmotionenhancerlow.safetensors`	Low noise

Appearance-Only Enhancers

File	Variant	Purpose
`malegenitaliaenhancer_high.safetensors`	High noise	Male anatomical accuracy (appearance)
`malegenitaliaenhancer_low.safetensors`	Low noise	Male anatomical accuracy (appearance)
`femalegenitaliaenhancer_high.safetensors`	High noise	Female anatomical accuracy (appearance)
`femalegenitaliaenhancer_low.safetensors`	Low noise	Female anatomical accuracy (appearance)

Usage

Text encoders (recommended)

—NSFW UMT5 XXL V2

Bernini-R (recommended)

—Main motion LoRA strength: start at 1.0
—If motion is broken/laggy (version of your LightX2V can influence the output): try 1.5–2.0
—Male enhancer: start at 0.55 when additional male(s) or anatomy needs needs to enters the scene.
—Female enhancer: start at 0.75, adjust based on input image /prompt complexity.

Wan 2.2 (vanilla)

—Main motion LoRA strength 0.9–1.2 works well with vanilla Wan 2.2 (Comfy-Org / KJ FP8)
—Merged models: 0.5 is usually enough
—Strength 2.2 on vanilla reduces prompt reliance. Explicit input images trigger expected animation in ~8/10 cases (tested)

tuned ONLY for I2V usage based on video outputs from Bernini-R FP8, NVFP4, and Bernini-R N4W merge.

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