In AI video generation, faces usually get destroyed the moment complex motion (like liquid splashing) is introduced. The AI gets confused between the face texture and the fluid texture.

The WAN 2.2 Face Cream Workflow solves this by integrating a dedicated Face Restoration Pipeline directly into the generation loop. It is designed specifically for close-up shots where preserving the model’s identity is just as important as the action itself.

🛠 The Technical Breakdown

Looking at the node graph, this workflow is optimized for macro details. It doesn’t try to do full-body movement; it focuses entirely on the face and the interaction with fluids.

• The “f4c3cr34m” Engine: It utilizes a specialized LoRA wan22-f4c3cr34m (Node 142). Unlike generic “cum” prompts, this LoRA is trained on the specific physics of liquid hitting and sliding down skin contours.

• Built-in Face Fixing: Node 166 triggers ReActorRestoreFace using the GFPGANv1.4.pth model. This runs after the generation but before the upscale, ensuring that even if the Wan model distorts the eyes during the splash, the final video snaps them back to perfection.

• Auto-Upscaling: It includes an ImageUpscaleWithModel node (Node 103) utilizing RealESRGAN_x2. This means you can render at a lower resolution (saving speed) and let the workflow crispen the final output automatically.

⚡ Workflow Specs

• Base Checkpoint: wan2.2_i2v_high_noise_14B

• Sampler: lcm (beta)

• Steps: 6 (Optimized for speed)

• Key LoRAs: wan22-f4c3cr34m (The secret sauce), Wan21_I2V_14B_lightx2v

• Extras: Integrated GFPGAN Face Restore + RealESRGAN Upscaler

🔗 Related Finish Workflows

• WAN 2.2 Cumshot Workflow – full-body cumshot sequences with thick fluid physics.

• WAN 2.2 Mouthfull Workflow – oral creampies with volumetric mouth mechanics.

• WAN 2.2 Blowjob & Deepthroat Workflow – lead-up oral action before the finish.

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

📝 How to Use This Workflow

1. Input: Load a close-up portrait image. The AI works best if the mouth is slightly open or the expression is expectant.

2. Trigger Word: Ensure f4c3cr34m is at the start of your prompt. This triggers the specific physics model trained in the LoRA.

3. Adjust Fidelity: If the face looks too perfect (plastic), lower the codeformer_weight in the ReActor node (Node 166). If it looks distorted, increase it to 0.7 or 0.8.

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