One of the hardest things for AI video models to understand is the interaction between two completely different skin tones. Most models try to “blend” the colors, resulting in muddy textures or weird lighting artifacts.

The WAN 2.2 BBC Deepthroat Workflow is engineered to solve exactly this problem. It is a specialized pipeline designed to render high-contrast Interracial (IR) scenes with a specific focus on the mechanics of deepthroat. By examining the node graph, we can see it doesn't just generate a generic oral scene—it uses a “High/Low” frequency split to ensure the texture of the skin remains sharp while the motion remains fluid.

🛠 The Technical Breakdown

This workflow is a masterclass in Subject Separation. It uses a dual-LoRA setup to define the “Action” separately from the “Motion.”

• The “BBC” Engine: The core of this workflow is the custom trained wan22-bbcdeepthroat LoRA pair (Nodes 142 & 143). Unlike standard models that struggle with size difference or skin contrast, these nodes force the AI to respect the geometry of the act, preventing the “melting” effect often seen in oral generation.

• Dual-Noise Architecture: It loads both the wan2.2_i2v_high_noise (Node 154) and wan2.2_i2v_low_noise (Node 155) checkpoints. This allows the AI to handle the macro movement (the head bobbing) separately from the micro details (skin pores and veins), resulting in crystal clear definition.

• Integrated Face Rescue: Because deepthroat scenes often distort the face, this workflow includes a ReActor node (Node 166) running GFPGANv1.4. This automatically detects the female face mid-act and restores eye/nose coherence without ruining the rest of the action.

⚡ Workflow Specs

• Base Checkpoint: Wan 2.2 I2V 14B (High + Low Noise Split)

• Sampler: lcm (beta) – Optimized for 6-step generation

• Steps: 6 (Fast render time)

• CFG Scale: 1.0

• Key LoRAs: wan22-bbcdeepthroat-115epoc-high, Wan21_I2V_14B_lightx2v

🔗 Related Oral Workflows

• WAN 2.2 Blowjob & Deepthroat Workflow – standard oral scenes without skin contrast focus.

• WAN 2.2 Face Fuck Workflow – aggressive throat action with gagging physics.

• WAN 2.2 Oral Insertion Workflow – dynamic POV entry shots.

• WAN 2.2 Group Sex Workflow – multi-partner scenes including interracial.

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

📝 How to Use This Workflow

1. Input Image: Start with a side-profile or 3/4 view of your model. The AI needs to see the “path” to the mouth clearly to initialize the deepthroat motion correctly.

2. Prompting: Use high-contrast tags like big black cock, pale skin, and deepthroat to trigger the LoRA's training data. The workflow is already tuned to look for these contrasts.

3. Adjusting Intensity: If the motion is too fast or “glitchy,” try lowering the strength_model on Node 136 (Lightx2v LoRA) from 3.0 down to 2.0. This slows down the “video speed” without changing the prompt.

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