Ищем AI / ML специалиста для premium AI FaceSwap pipeline.

Hello!
After thoroughly reading the brief, I can clearly see its technical scope. The Telegram bot, API, backend/frontend, and predefined scenes are already part of your infrastructure. A pipeline that makes the face integration appear authentic rather than artificial is what you need. That's the exact task I would concentrate on. Allow me to explain my strategy to you.
My Perception on the Fundamental Issue
One of three factors causes the majority of FaceSwap pipelines to fail:

Identity drift: the output face ceases to resemble the user
The face appears to be pasted from a different photo due to the mismatch in skin tone.
Inconsistency in lighting: the scene and the face are lighted differently

… It takes a properly constructed pipeline rather than a single model call to solve all three at once while maintaining the scene's fixed aspects (position, clothing, cosmetics, and background).
What I Need From You to Start

2–3 sample reference scenes (your preset scenes)
2–3 test face photos (can be stock photos for testing)
Your current API generation setup details (what model server are you running — ComfyUI API, RunPod, Modal, etc.)
GPU specs available (VRAM determines which models are feasible)
Kindly write to me, so that I can show you how, I'd approach this.
One Important Technical Note
The quality ceiling is heavily influenced by GPU VRAM. For the full pipeline (SDXL/Flux + InstantID + IPAdapter + relighting):

16GB VRAM — feasible with optimizations, some quality trade-offs
24GB VRAM — comfortable, full quality
A100/H100 — optimal, fastest inference

If you're on a constrained GPU I can design a lighter pipeline variant that still achieves excellent results within the hardware limits.
Looking forward to seeing your scenes.

Hello!

Your task of creating a Premium FaceSwap pipeline is perfectly clear to us. Within our studio Lumvex, we specialize in implementing advanced AI solutions, and pipelines based on ComfyUI are one of our strong suits.

We understand that for a "Premium" result, regular InsightFace is not enough. We build multi-level workflows that ensure perfect skin blending and preservation of the light-shadow pattern of the scene.

Our stack for implementation:

Identity: Using PuLID or InstantID for maximum accuracy in preserving facial features.
…
Integration: Applying IP-Adapter FaceID in conjunction with FLUX or SDXL for natural integration into the lighting and aesthetics of the scene.

Post-processing: Using Face Detailer and custom masks to eliminate the "stuck face" effect.

Optimization: Preparing workflows for API operation (ComfyUI-Manager / API JSON).

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I can help you with the AI video pipeline and ensure that the result looks not like a "stuck-on face," but like a live photo in the scene — with natural blending, matching in light, skin tone, and preserving identity.

I am Maksym Sudkovenko, a creative creator and video editor. I understand tasks where the first seconds are crucial, attention retention is important, and the appearance that immediately "grabs" is essential. In your case, I see value in the quality integration of the face into the finished scene without losing realism.

What I would tweak in the pipeline:
- a separate check for identity consistency at each step,
- adaptation of face match to the scene's lighting,
- soft skin tone blending to avoid a "mask,"
- testing several workflows in ComfyUI for better balance between similarity and naturalness.
…
If needed, I can specifically assist with setting up the workflow and help refine the pipeline to a stable premium level.

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