Architectural Diffusion

↝      Description

I fine-trained the OpenAI 512x512 diffusion model on 30.000 images of the AIDA architecture database of the Harvard dataverse, with more or less success. For higher resolution results, I used Topaz Gigapixel AI to upscale all 30k training images to 512x512. I let the training run for 1.5 million iterations, after which the model seemed to overfit and you could see upscaling artifacts more clearly while quality did not improve.
If you are interested in giving my fine-tuned model a whirl, just head to the DiscoStream Colab notebook and select Architecture_Diffusion_1-5m →

↝      Tools used

Python, Topaz Gigapixel AI, Disco Diffusion

Modern architecture 1, Fine-trained model by me
Modern architecture 1, OpenAI unconditional model
Modern architecture 2, Fine-trained model by me
Modern architecture 2, OpenAI unconditional model
Modern architecture 3, Fine-trained model by me
Modern architecture 3, OpenAI unconditional model
Modern architecture 4, Fine-trained model by me
Modern architecture 4, OpenAI unconditional model
Modern jungle bio-architecture, Fine-trained model by me
Modern jungle bio-architecture, Diffusion steps visualisation

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