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Seamlessly Consistent, Photorealistic AI Video with Flux, ComfyUI & Gen3 by Kim Jonghun
Make 100% consistent photorealistic AI humans — from Flux stills to talking Gen3 video, shorts to deepfake and voice cloning.
From 2D stills to shorts, lip-sync, deepfake and voice cloning: Kim Jonghun (Hundred AI) teaches the full production pipeline behind Korea’s first full-AI video commercial — holding one person’s identity consistent across long photorealistic clips and making them speak with high-sync lip movement.
🎯 What you’ll learn
Keep one AI person’s identity 100% consistent across long videos
Text-to-video and image-to-video with Gen3, Kling, Hailuo, Pika, Hunyuan
Lip-sync and face tools: LivePortrait, FaceFusion, Topaz AI upscaling
Voice cloning and training: GPT-SoVITS, ElevenLabs, Kohya LoRA, DeepFaceLab
Finish two portfolio pieces: Fake-TED Talk and Fake-Commercial
✅ Requirements
Skills: No AI background needed — the course states anyone can follow
Tools: Stable Diffusion WebUI / ComfyUI setup, Photoshop; accounts for Gen3, Kling, ElevenLabs, Replicate as used
Hardware: GPU-equipped PC for local SD/ComfyUI work (course covers required gear in CH02-01)
📝 Description
The course is fully dubbed into English: all 68 lessons ship with English voiceover plus English subtitles, so no Korean is needed to follow along.
The publisher’s program spans short-form production to deep learning: 2D images, talking-head video, deepfake and voice training, all aimed at one signature skill — keeping a single character consistent for 30+ seconds of photorealistic footage with synced lip motion. Bonus materials per the publisher: prompts used in lectures, example file lists and links, IDM-VTON/V2V ComfyUI workflows, and deep-learning datasets with labeling examples. Lecture benefits: learn from the producer of Korea’s first full-AI video ad, with immediately applicable production techniques.
Discrepancies, stated honestly: the publisher markets “7 major topics, 60+ clips (about 19 hours)” while the delivered VOD set counts 68 clips at about 20 hours 5 minutes (verified at import against VOD runtimes); the source pack ships no subtitle files (dub Korean subs are ASR-derived); one lesson ships in two near-identical cuts (CH02-13 plain and MUX, ~357 vs ~363 MB) and both are carried through as delivered. The GBC thread title writes “Gen-3” with a hyphen; the poster and catalog use “Gen3”.
🧑🎓 Who this course is for
Creators who want consistent photorealistic AI humans for ads, shorts and virtual characters
Marketers and filmmakers curious about full-AI commercial pipelines
Anyone starting from zero with Stable Diffusion / ComfyUI / video AI
🧑🏫 About the Author
Kim Jonghun (김종헌) is an AI art director running Hundred AI (헌드레드 AI), credited with producing Korea’s first full-AI video advertisement. He teaches the same Flux → ComfyUI → Gen3 pipeline he uses in client work, from stills through talking video to deepfake and voice cloning.
🏁 Final Result
Two portfolio videos — a Fake-TED Talk (40s western man lecturing) and a Fake-Commercial (20s coffee CF) — plus reusable Flux/ComfyUI/Gen3 workflows for unlimited talking-AI-human content.
Curriculum
📋 Course content
Part 1. Getting Friendly With Generative AI (7):mindset before tools
CH01-01. Must-knows before touching generative AI
CH01-02. How to approach generative AI — common misunderstandings
CH01-03. Course tour A to Z
CH01-04. Instructor intro — Hundred AI
CH01-05. Photoshop alongside generative AI
CH01-06. Adobe Photoshop generative fill
CH01-07. Photoshop neural filters
Part 2. Starting With WebUI (25):Stable Diffusion foundations
CH02-01. Generative AI types and hardware you need
CH02-02. Tool landscape and why learn Stable Diffusion
CH02-03. Must-remember facts before learning
CH02-04. Stable Diffusion install and options
CH02-05. First T2I image — SD basics
CH02-06. Checkpoints, prompts, adding files (1)
CH02-07. Checkpoints, prompts, adding files (2)
CH02-08. VAE explained
CH02-09. IMG2IMG and Inpaint (1)
CH02-10. IMG2IMG and Inpaint (2)
CH02-11. Hands-on Inpaint features (revised)
CH02-12. ControlNet — definition and install
CH02-13. ControlNet Canny and Softedge (1) + MUX version
CH02-14. ControlNet Canny and Softedge (2)
CH02-15. ControlNet Depth
CH02-16. ControlNet OpenPose
CH02-17. ControlNet IP-Adapter
CH02-18. Combined example 1 — product + background compositing
CH02-19. Combined example 2 — model holding the product
CH02-20. LoRA concept and install
CH02-21. Extras & upscale
CH02-22. SDXL
CH02-23. ADetailer
CH02-24. Finding and applying error fixes
Part 3. Content With Generative AI (22):ComfyUI, video AI, Flux