I produce photorealistic product campaigns, commercial video spots, and visual assets without renting studios, photographers, or film crews. Complete brand consistency, 10x faster.
Each project below details the underlying prompt, generative architecture, and technical parameters. Click any card to inspect full resolution assets and specs.
Commercial AI implementation is never about typing random prompts into a generator.
It is an engineered, repeatable production pipeline ensuring product precision, model likeness, and meticulous lighting control.
I train dedicated micro-models (LoRA) using 10–15 standard product or brand ambassador photos. The AI learns every stitch, label, and tactile texture.
Using ComfyUI, I lock product geometry (Depth / Canny) and build arbitrary environments around it: from Italian marble to rain-slicked Tokyo streets.
I bring static shots to life with video models featuring precise virtual camera dynamics (Zoom, Pan, Orbit), liquid/smoke physics, and character expressions.
I elevate resolution to large-format print standards (B1 / Billboard), calibrate colors against your Brandbook, and export production-ready assets.
As a technical creative, I don't just click UI buttons. I author scripts in Python and Node.js that interface directly with AI model endpoints, automatically producing 500 catalog images for an entire e-commerce store overnight.
# Automated catalog photography generation (Python + ComfyUI API) import requests, json, pathlib def generate_catalog_batch(products_dir: str, lora_model: str): api_url = "http://127.0.0.1:8188/prompt" for raw_photo in pathlib.Path(products_dir).glob("*.png"): payload = { "model": "flux1-dev-fp8.safetensors", "lora": lora_model, "controlnet_depth": str(raw_photo), "lighting": "IC-Light Studio Softbox 5500K", "upscale": 4096 } res = requests.post(api_url, json={"prompt": payload}) print(f"[OK] 4K catalog frame generated for: {raw_photo.name}") generate_catalog_batch("./raw_products", "client_brand_v3.safetensors")
AI in my workflow is not a novelty—it is a direct competitive advantage: slashed production budgets, accelerated A/B creative testing, and limitless scalability.
Real-world benchmark for launching a new collection (20 products + 4 video reels):
Adjust the sliders below to estimate your monthly budget savings with an AI production pipeline:
Rather than testing 2 ad creatives in Meta / Google Ads, I deliver 25 distinct visual variations in the same turnaround time, eliminating audience ad fatigue.
Hundreds of products from diverse suppliers receive consistent studio lighting, shadow angles, and luxurious backgrounds matching the brand guide.
I visualize packaging, industrial designs, and merchandise in photorealistic scenes before manufacturing begins, facilitating pre-orders and early validation.