The biggest giveaway of AI-generated video is the “shimmer”—that uncanny flickering where skin textures boil and limbs morph slightly between frames. For hardcore scenes involving rapid motion, this is often unavoidable. But for sensual, rhythmic scenes, it breaks the immersion immediately.

The WAN 2.2 Smooth Sex Workflow is the solution to the “shimmer” problem. Unlike standard workflows that prioritize chaos and creativity, this pipeline is locked down for temporal stability. By analyzing the node graph, we can see it relies on a completely different model architecture designed to prioritize smoothness over random detail.

🛠 The Technical Breakdown

This workflow doesn't use the standard Wan 2.2 base model. It is built on top of a custom-tuned ecosystem.

• The “SmoothMix” Engine: The workflow loads the smoothMixWan22I2VT2V checkpoint (Nodes 168 & 169). This is a fine-tuned version of Wan 2.2 where the training data focused on continuous video loops rather than static images, drastically reducing frame-to-frame variance.

• Double-Stack Smoothing: It applies the SmoothXXXAnimation LoRA at both High and Low noise levels (Nodes 142 & 143). This acts like a “temporal stabilizer,” forcing the AI to keep the body shape consistent even during thrusting motions.

• Motion Interpolation: While the generation runs at a standard frame rate, Node 100 triggers RIFE VFI (Video Frame Interpolation). This artificially generates intermediate frames, making the final output feel like a 60fps high-quality video clip.

⚡ Workflow Specs

• Base Checkpoint: SmoothMixWan22I2VT2V (High/Low Split)

• Sampler: lcm (beta)

• Steps: 6 (Fast render)

• CFG Scale: 1.0

• Key LoRAs: SmoothXXXAnimation_High, SmoothXXXAnimation_Low

📝 How to Use This Workflow

1. Best for Loops: This workflow shines when you want to create a GIF or a seamless video loop. The “SmoothMix” model naturally gravitates towards repetitive, rhythmic motions (like thrusting or riding) rather than complex narrative changes.

2. Prompting: Keep your prompts simple. Use tags like rhythmic motion, loop, and perfect loop. Avoid complex background descriptions, as the model focuses its processing power on the skin texture and movement.

3. Face Restoration: It includes ReActor with GFPGAN enabled by default (Node 166). If you find the face looks too “sharp” compared to the soft, smooth body, try lowering the codeformer_weight to 0.3 to blend it better.

👉 Get the WAN 2.2 Workflow Bundle
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