WAN 2.2 Paizuri Workflow – Mastering Breast Compression & Physics

Generative AI porn struggles with “soft body collisions.” If you try to prompt a paizuri (titjob), 90% of the time the penis simply phases through the breasts like a ghost, or the breasts fail to squash together to form a tunnel.

The WAN 2.2 Paizuri Workflow is the solution to the Compression Problem. It utilizes a specific prompting strategy combined with “Hand Mechanics” LoRAs to force the AI to respect the volume of the breasts. By analyzing the node graph, we can see it prioritizes the “Gathering” motion—using the hands to create the channel, which guides the physics engine correctly.

🛠 The Technical Breakdown

This workflow is built on the Midnight Flirt ecosystem, known for superior skin rendering.

• The “Handjob” Helper: Interestingly, this workflow uses the WAN-2.2-I2V-Handjob LoRA (Nodes 142 & 143). While this sounds counter-intuitive, it is actually a genius hack. The AI understands “hands gripping a shaft” very well. By applying this LoRA at a low strength (0.3), it stabilizes the hand position around the breasts, effectively “locking” the paizuri animation in place.

• The “Gather” Prompting: The positive prompt explicitly uses girlMove, gather, and fingersTogether. These arent random keywords; they are trigger words that tell the model to actively compress the mesh from the sides, creating realistic cleavage deformation.

• Midnight Flirt Checkpoint: It uses the dasiwaWAN22I2V14B_midnightflirt model (Nodes 168 & 169). This model has a “softer” understanding of anatomy than the base Wan 2.2, allowing for better “squish” physics between skin surfaces.

⚡ Workflow Specs

• Base Checkpoint: MidnightFlirt Wan 2.2 (High/Low Split)

• Sampler: lcm (beta) – Optimized for speed

• Steps: 6

• CFG Scale: 1.0

• Key LoRAs: WAN-2.2-I2V-Handjob (Used for hand stability)

🔗 Related Hand & Body Workflows

• WAN 2.2 Handjob Workflow – pure handjob motion with smooth grip.

• WAN 2.2 Twist Handjob Workflow – two-handed techniques with advanced physics.

• WAN 2.2 BJ & HJ Combo Workflow – dual oral and hand action.

• WAN 2.2 Cumshot Workflow – finish shots and facials.

• Browse all WAN 2.2 workflows – explore the complete collection.

📝 How to Use This Workflow

1. Input Image: Use a “Front View” or “Top Down” (POV) image where the breasts are clearly visible. If using a POV shot, ensure the models hands are visible or near the chest in the source image to give the AI a starting point.

2. Adjusting Friction: If the movement looks too “slidey” (like oil), increase the LoRA strength on Node 142 slightly to 0.4. If the hands are clipping into the skin, reduce it to 0.2.

3. Face Consistency: Since paizuri often involves heavy body movement, the ReActor node (Node 166) is set to GFPGAN by default. This ensures that even as she bounces or leans forward, her expression remains sharp and focused on the viewer.

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