Multi-partner scenes are among the most challenging to render in AI video generation. Standard workflows struggle with tracking multiple bodies, synchronizing movements, and maintaining coherent physics when three or more participants interact.

The WAN 2.2 SmoothMix Group Sex Workflow solves this by combining the SmoothMix Animation LoRAs with optimized high/low noise sampling. It is specifically designed for gangbangs, threesomes, double penetration, and orgy scenarios where body overlap and complex motion would normally cause catastrophic frame jitter.

If you are looking for single-partner scenes instead, check out our WAN 2.2 Cowgirl & Reverse Cowgirl Workflow or WAN 2.2 Smooth Sex Workflow.

The Technical Breakdown

Looking at the node graph, this workflow uses a dual-sampler architecture that processes high-noise and low-noise passes separately before combining them – similar to our WAN 2.2 Anal Insertion Workflow.

• SmoothMix Animation LoRAs: Both XXX Animations High and XXX Animations Low variants work in tandem to eliminate the micro-jitter that plagues group scenes. These LoRAs were trained specifically on multi-body motion sequences.
• Wan 2.2 Lightning LoRAs: The high-r64 and low-r64 variants accelerate generation while preserving motion coherence across multiple subjects.
• Built-in Face Restoration: GFPGANv1.4 fixes faces that get distorted during complex body interactions – the same technique used in our WAN 2.2 Face Cream Workflow.
• Frame Interpolation: RIFE 49 at 16x multiplier produces buttery-smooth 40fps output from the raw generation.
• MMAudio Integration: Automatic moaning/sound generation synced to the video output.

Workflow Specs

• Base Checkpoint: Smooth Mix Wan 2.2 14B (I2V) – High & Low noise variants
• Sampler: lcm (beta)
• Steps: 6 (Optimized for speed with Lightning LoRAs)
• Key LoRAs: Wan 2.2 Lightning LoRAs (high/low-r64-1022), SmoothMix Animations XXX (High/Low)
• Extras: GFPGAN Face Restore + RealESRGAN x2 Upscaler + RIFE 49 Interpolation + MMAudio

How to Use This Workflow

1. Input: Load an image with multiple participants positioned for group action. The AI works best with clear body separation in the starting pose.
2. Prompt Structure: Be explicit about positions and participant roles. Example: \”gangbang scene, group sex, double penetration, blowjob, sex, anal sex, the woman on the bottom thrusts…\”
3. Frame Length: Default is 121 frames. For longer scenes, increase in the Length node but expect longer render times.
4. Audio: The workflow automatically generates moaning sounds. Adjust the prompt in the MMAudio node if you want different audio.

For oral scenes within your group content, reference the techniques from our WAN 2.2 Blowjob & Deepthroat Workflow and WAN 2.2 Face Fuck Workflow.

Why This Workflow Excels at Group Scenes

• No Body Merge: The SmoothMix LoRAs prevent the common issue of bodies \”melting\” into each other during close contact.
• Position Versatility: Works for MMF, MFF, gangbang trains, and bukkake setups.
• Synchronized Motion: Multiple participants move in coordinated rhythm rather than chaotic independent motion.
• Clean Face Tracking: Even when faces are near genitals or other bodies, the GFPGAN pass restores clarity.

Want to add finishing shots? Combine this with our WAN 2.2 Cumshot Workflow for the perfect ending.

Trigger Words & Prompts

For best results, use these triggers in your positive prompt:

• Positions: gangbang, group sex, double penetration, threesome, orgy, train, MMF, MFF
• Actions: nsfwsks, bl0wj0b, d0gg1e, m15510n4ry, r3v3rs3_c0wg1rl, c0wg1rl
• Enhancement: she is in a state of arousal, erotic and sensual movement, detailed skin textures

For a complete breakdown of all available trigger words across our workflow collection, see The Best WAN 2.2 Workflows for NSFW AI Video Creation.

Get the Workflow

👉 Get the WAN 2.2 Workflow Bundle

👉 Or generate instantly using our AI Porn Generator

New to AI porn creation? Start with our guide: How to Make AI Porn: From Image to AI-Generated Video.