please integrate this webpage with facier, but more professional graphics and stylings, and also i need it to show info graphics of the information contained in this html, which should be a fading in overlay that comes in to view when hovered over, taking up almost the whole screen, so the user can read: Cost Efficiency Timeline

Cost Efficiency Analysis

Traditional LoRA Training vs. Combinatorial Approach at Scale

$1,752
Traditional Annual Cost
For 400 daily LoRA trainings
$17.52
Combinatorial Annual Cost
Using 50 base LoRAs
99%
Cost Reduction
With combinatorial approach

Traditional Approach

400 LoRA trainings per day

Each training takes 20 minutes on RTX 3090 at 70% power (300W)

Energy Calculation:

300W × (20min/60) × 400 = 40,000 Wh = 40 kWh/day

Cost at $0.12/kWh:

40 kWh × $0.12 = $4.80/day → $146/month → $1,752/year

950M Characters Cost:

$4,140,000 (at 400/day for 950M characters)

Combinatorial Approach

50 Base LoRAs

(5 ethnicities × 5 age groups × 2 genders)

Weighted Combinations

3 LoRAs per generation at weights from 0.05 to 1.00

Energy Calculation:

50 LoRAs × 20min = 16.7h total training → 5 kWh

950M Characters Cost:

Same 50 LoRAs → $0.60 one-time cost

Cost Comparison Over Extended Timeframe (Logarithmic Scale)

Energy Consumption Comparison (Logarithmic Scale)

Toongether.AI Efficiency Report

Key Findings:

  • The combinatorial approach reduces energy consumption by 99.9% compared to traditional LoRA training
  • At 950M characters, traditional training would cost $4.14 million while combinatorial costs $0.60
  • Each additional character in traditional approach adds $0.0044 in cost, while combinatorial adds $0.00000000063
  • The combinatorial method can generate 950M+ unique characters from just 50 base LoRAs
  • Energy savings equivalent to powering 1,400 homes for a year at scale

Implementation Details:

The system uses a random CSV line picker node that selects:

  1. Race from race CSV (5 options)
  2. Age from age CSV (5 options)
  3. Gender from sex CSV (2 options)
  4. Random strength from 0.05 to 1.00 for 3 separate LoRAs

The LoRAs are applied in sequence between the checkpoint output and CLIP input, with model weights controlled by math expression nodes that cycle through weights in 0.05 increments.

Environmental Impact:

At scale, the combinatorial approach could save:

14,600 MWh
Annual energy savings
10,300 tons
CO2 emissions avoided
$4.14M
Annual cost savings at scale