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AI Image generations

Our forest impact

1.0M AI-generated images

equal the CO₂ our forest is estimated to capture (101.76 tonnes)

How we calculated this

Calculation methodology

This calculation refers to the CO₂ emissions generated by a typical AI image generation model, such as a diffusion model, during the process of generating a single image. The emissions are estimated based on the energy consumption of the model's computational resources, including GPUs, and the carbon intensity of the electricity used.

101,760 kg ÷ 0.1 kg/AI-generated = 1,017,600 AI-generated images
Our forest's estimated capture: 101.76 tonnes CO₂
Emissions per item (AI-generated images): 0.1 kg CO₂

Sources & references

MIT Technology Review - AI Carbon Footprint Research

Comprehensive research on the carbon footprint of AI models, providing insights into the environmental impact of machine learning and image generation.

View source

Hugging Face - AI and Climate Research

Authoritative research on AI model carbon emissions, including detailed analysis of image generation model environmental impact.

View source

ArXiv - Carbon Emissions and Large Scale Computing

Academic research analyzing the carbon footprint of large-scale computing tasks, including AI image generation with diffusion models.

View source

Who built this?

I'm Arnstein. I build content systems, websites, and the infrastructure around them — for teams and agencies who need something that actually works. This calculator is one small example of that.

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