Creating a coherent AI video that tells a story is usually a nightmare of consistency issues. Most generators give you 3 random seconds of chaos.
The WAN 2.2 Futa Reveal Sequence changes that. This isn't just a simple “text-to-video” prompt; it is a multi-stage logic gate designed to generate a sequential event. By analyzing the JSON structure, we can see it doesn't just generate one clip—it chains multiple generation passes to ensure character consistency from the first “strip” to the final “finish.”
🛠 The Technical Breakdown
This workflow is a beast. It utilizes the Wan 2.2 I2V 14B model architecture but supercharges it with Latent Consistency Models (LCM) to render frames in just 6 Steps.
Here is what makes this workflow unique:
The “Reveal” Logic: It specifically calls the
Penis_reveal-v1.0LoRA (Node 272/273). This creates the rare and difficult-to-prompt transition of pulling down panties or lifting a skirt to reveal the hardware.Sequential Chaining: The graph shows four distinct
WanImageToVideopasses (Nodes 97, 192, 227, 254). This suggests the workflow allows you to prompt for a sequence (e.g., Tease -> Reveal -> Jerk -> Cum) rather than hoping the AI fits it all in one go.Dual-Model Rendering: It splits the load between
HIGHandLOWnoise models (Nodes 211, 212), which is the secret to Wan 2.2's high texture quality without destroying your VRAM.Custom Fluid Dynamics: It integrates the
Futa cum4LoRA to handle the physics of the finale, ensuring the liquid interacts realistically with the body rather than floating like a generic overlay.
⚡ Workflow Specs
Base Checkpoint:
Wan2_2-I2V-A14B-HIGHSampler:
lcm(beta scheduler) – Extremely fastSteps: 6 (Lightning fast generation)
CFG Scale: 1.0 (Required for LCM)
Key LoRAs:
Penis_reveal-v1.0,Futa cum4,DR34ML4Y_I2V
📝 How to Use This Workflow
Load your Start Image: Use the
Load Imagenode (Node 94) to drop in your base character. Ideally, a high-res image of a girl standing or sitting.The Prompt Strategy: The workflow is pre-loaded with a “Reveal” prompt. You only need to change the subject tags (e.g., change “blonde” to “elf”).
Pro Tip: Keep the “eye contact” tag in the positive prompt to maintain coherence with the viewer.
Render & Stitch: The workflow uses
Video Combine(Node 265) to output the final result. Because it uses RIFE Interpolation (Node 258), the final movement will be smoothed out to 60fps equivalent smoothness.
👉 Get the WAN 2.2 Workflow Bundle
👉 Or generate instantly using our AI Porn Generator
🚀 Create This Exact Content
Want to replicate these results? You can download the exact Wan 2.2 Workflows used in this article, or skip the technical setup and generate videos instantly in our cloud studio.
