Budget: 350 EUR Deadline: 10 days
Hello! I can complete this bot in 10 days, the price will be $400. If you are ready, we can collaborate.
Ищем AI / ML специалиста для premium AI FaceSwap pipeline.
Задача:
есть готовые reference photos/scenes с уже фиксированными:
- позой,
- одеждой,
- мейкапом,
- lighting,
- background,
- overall aesthetic.
Пользователь загружает свои фото лица, и система должна максимально естественно встроить лицо пользователя в готовую сцену.
Нужен качественный:
- AI FaceSwap,
- identity preservation,
- skin tone matching,
- lighting adaptation,
- natural blending,
- realistic integration.
Важно:
результат должен выглядеть как настоящее фото пользователя в этой сцене, а не как “наклеенное лицо”.
Интересует специалист с опытом:
- ComfyUI,
- FaceSwap pipelines,
- InstantID / PuLID / FaceID,
- IPAdapter,
- SDXL / Flux / Wan,
- skin blending / relighting,
- identity consistency.
У нас уже есть:
- Telegram bot,
- API generation,
- preset scenes,
- backend/frontend.
Нужна помощь именно с AI pipeline и настройкой workflow.
Budget: 350 EUR Deadline: 10 days
Hello! I can complete this bot in 10 days, the price will be $400. If you are ready, we can collaborate.
Budget: 450 EUR Deadline: 10 days
Hello, Denis.
I read the task carefully — I understand that you don’t need another "AI specialist" to explain the theory. You need a working pipeline that delivers results at the level of "a real photo," not a collage.
Here’s what I specifically propose:
For your case (fixed scenes + user face), the optimal combination is PuLID + IPAdapter FaceID on top of SDXL/Flux with ControlNet to maintain the pose. PuLID provides better identity consistency than InstantID in most tests on real photos.
For skin tone matching and relighting — IC-Light or color-transfer preprocessing before inference, so the face doesn’t "glow" differently than the scene.
I will package all this into a ComfyUI workflow with API nodes that will connect to your existing backend without rewriting the architecture.
What will be included in the work:
- Setup and testing of the pipeline on your reference scenes
- Optimization for identity preservation (not just "similar," but recognizable)
- Skin blending + lighting adaptation
- Transfer of workflow + documentation on parameters
Why me:
100% success rate on 35+ projects, experience with AI integrations and production-ready pipelines. I work quickly and am always available.
I’m ready to show examples of work with FaceSwap/InstantID if needed. When is it convenient to discuss the details?
Budget: 200 EUR Deadline: 3 days
Hello! After reviewing your project, I am ready to start working on it. I can offer optimal solutions to achieve the best results.
Budget: 500 EUR Deadline: 24 days
Hello.
I am ready to help with setting up the AI FaceSwap pipeline and workflow.
I have worked with AI image generation, FaceID/InstantID, ComfyUI workflow, image blending, and modern AI tools. I understand the importance of natural integration, preserving identity, and proper adaptation of light/skin tone so that the result looks like a real photo and not like a pasted face.
I can help with:
— setting up the FaceSwap pipeline
— improving identity consistency
— achieving natural blending and relighting
— optimizing the workflow
— integrating the pipeline into the existing backend/API
I also have experience working with AI platforms, image generation, and modern interfaces.
I look forward to collaborating.
Budget: 25 EUR Deadline: 1 day
Denis, your core challenge is not just swapping a face, but making it feel truly captured in the scene. I can help build a ComfyUI-based workflow for identity preservation, skin tone matching, relighting, and natural blending so the result reads like a real photo, not an overlay. I’ve worked with video pipelines and visual polish, so I’m comfortable tuning workflows end to end and iterating until the integration feels seamless. Let’s discuss your current stack and the best pipeline direction.
Budget: 750 EUR Deadline: 30 days
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.
Budget: 1800 EUR Deadline: 15 days
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).
Budget: 1500 EUR Deadline: 7 days
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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