Daniel Bartolic

Daniel Bartolic

AI Image Generation Expert & Full-Stack Developer

22 · Ljubljana / Koper, Slovenia

I specialize in deploying open-source AI models to production. I can take any open-source model available and deploy it to a serverless API — with deep hands-on experience in models like Qwen Image 2512, Flux, Z-Image, Wan 2.2 for image and video generation, and Qwen 3.5 for custom LLM chatbots. I build end-to-end pipelines from model weights to production endpoints using ComfyUI, vLLM, and llama.cpp — and optimize results by combining multiple endpoints to get the best quality at the lowest cost.

With a background in pure mathematics from the University of Ljubljana, I moved into AI full-time — and am currently building realstagram.ai, a SaaS platform for AI image generation.

Every character I create is a custom-trained LoRA model. I design end-to-end pipelines from model training through ComfyUI workflows to serverless deployment on RunPod and Vast.ai. I also run an AI Instagram account showcasing my workflow outputs.

Featured Work

AI generated character — a1daAI generated character — is4cAI generated portraitAI generated portrait

Tech Stack

ComfyUI
ComfyUI
Stable Diffusion
Stable Diffusion
Flux
Flux
Gemini
Gemini
Qwen
Qwen
ByteDance
ByteDance
Kling
Kling
Hugging Face
Hugging Face
AI Toolkit
AI Toolkit
Docker
Docker
RunPod
RunPod
Vast.ai
Vast.ai
Next.js
Next.js
React
React
TypeScript
TypeScript
Tailwind CSS
Tailwind CSS
Node.js
Node.js
Python
Python
Supabase
Supabase
Stripe
Stripe
Cloudflare
Cloudflare
Vercel
Vercel
Git
Git
GitHub
GitHub
Linux
Linux
HTML
HTML
CSS
CSS
llama.cpp
llama.cpp
vLLM
vLLM
KoboldCpp
KoboldCpp

Education

FMF

Faculty of Mathematics and Physics, University of Ljubljana

Undergraduate Program in Pure Mathematics — 4 years

ERS

ERS — High School

Computer Science Diploma