Need Advice: Making Hyper‑Realistic AI UGC Ads with ComfyUI ?

[tulktek]

I recently watched this YouTube video on creating hyper‑realistic AI UGC videos that look like real selfie ads , and I’d like to build a similar workflow using ComfyUI.
Video for reference only (not my channel): [How I Make AI UGC Videos That Look Real…]

I’m not promoting anything, just using it as an example of the style I want to achieve.
Thank you .

 

[tulktek]

New to COMFYUI

 

[tulktek]

ComfyUi is workflow for many Ai Models

 

[tulktek]

What it this, it is AI editer??

ComfyUi is workflow for many Ai Models

 

[bhseoworld]

comfyui is definitely the way to go if u want automation , but the learning curve for high-end realism is steep tbh .
if u want that 'real selfie' vibe u see in the video , stop using standard animate-diff workflows . they look too 'dreamy' and ai-ish .
heres the current gold standard stack for ugc :
base model : use flux.1 [dev] for the initial frames . the skin texture is years ahead of sdxl . for ugc , u need those micro-imperfections ( pores , slight redness ) otherwise it looks like a filter .
consistency : use ip-adapter plus with a faceid model . dont just 'prompt' the face , lock it with a high-res Character Reference .
motion & lipsync : the 'secret sauce' right now is liveportrait . its much more realistic than sdtalker or wav2lip . it captures micro-expressions and head tilts that make the selfie look natural .
post-processing : run a dedicated pass for supir or real-esrgan to sharpen the eyes and hair . then add a tiny bit of 'digital noise' or 'grain' in resolve/capcut . ironic but adding noise makes it look more like a phone camera and less like a gpu render .
btw if ur doing this at scale , wrap ur comfy nodes in an api and trigger it via python pods . manually clicking 'queue prompt' is for beginners lol .

 

[tulktek]

comfyui is definitely the way to go if u want automation , but the learning curve for high-end realism is steep tbh .
if u want that 'real selfie' vibe u see in the video , stop using standard animate-diff workflows . they look too 'dreamy' and ai-ish .
heres the current gold standard stack for ugc :
base model : use flux.1 [dev] for the initial frames . the skin texture is years ahead of sdxl . for ugc , u need those micro-imperfections ( pores , slight redness ) otherwise it looks like a filter .
consistency : use ip-adapter plus with a faceid model . dont just 'prompt' the face , lock it with a high-res Character Reference .
motion & lipsync : the 'secret sauce' right now is liveportrait . its much more realistic than sdtalker or wav2lip . it captures micro-expressions and head tilts that make the selfie look natural .
post-processing : run a dedicated pass for supir or real-esrgan to sharpen the eyes and hair . then add a tiny bit of 'digital noise' or 'grain' in resolve/capcut . ironic but adding noise makes it look more like a phone camera and less like a gpu render .
btw if ur doing this at scale , wrap ur comfy nodes in an api and trigger it via python pods . manually clicking 'queue prompt' is for beginners lol .

Wow, thank you so much @bhseoworld . Some are of option that I should train Lora for character consistency. What do you think?

 

[bhseoworld]

Wow, thank you so much @bhseoworld . Some are of option that I should train Lora for character consistency. What do you think?

training a lora is god-tier if ur building a long-term synthetic face ( perma-influencer ) . if ur plan is to use the same girl for the next 6 months across 100 ads , then it's 100% worth the vram and time
but if ur doing churn and burn ugc for different offers where u need a fresh face every few days , lora training becomes a massive bottleneck tbh . u can’t spend 2 hours training and testing for every new creative if u want real volume
in my private runs we only train loras for the main stars . for everything else , we use a high-weight ip-adapter plus pass combined with flux.1 cref ( character reference ) . it gets u 95% consistency in seconds without the training overhead
i actually cover the logic of these mass-gen pipelines and how to lock the latent space for consistency in my bst thread . for ugc , u actually want micro-imperfections and slight variance .. if the face is too 'perfectly' consistent across different lighting and angles , the human brain flags it as ai instantly
variance is ur friend for higher ctr . stay fast