{"id":730,"date":"2023-04-13T19:51:04","date_gmt":"2023-04-13T19:51:04","guid":{"rendered":"https:\/\/ai-box.eu\/?p=730"},"modified":"2023-05-01T14:12:34","modified_gmt":"2023-05-01T14:12:34","slug":"stable-diffusion-dreambooth-training-finetuning-setup-part-1-2","status":"publish","type":"post","link":"https:\/\/ai-box.eu\/en\/top-story-en\/stable-diffusion-dreambooth-training-finetuning-setup-part-1-2\/730\/","title":{"rendered":"Stable Diffusion – Dreambooth Training Finetuning Setup Part 1\/2"},"content":{"rendered":"

I wanted to train a stable diffusion network that can generate images of the PFM-1 anti-personnel mine. This mine is of Russian design and injures mostly civilians in many countries of the world. Since the mine itself is difficult to detect, I had the idea of using stable diffusion to generate images that could be used to test a neural network specialized in detecting this mine. Since stable diffusion will certainly not reproduce the exact geometry of the mine, such images could still be used for testing false positive detections.<\/p>\n

So I set up Dreambooth under Automatic1111 and trained my first own mesh on this mine type. You can see such an image that I was able to create with Stable Deffusion in the following picture.<\/p>\n

\"PFM-1<\/a>

PFM-1 mine stable diffusion generated<\/p><\/div>\n

The result looked quite good with the small number of images I had from the Internet. The next section is about setting up Dreambooth under Automatic1111.<\/p>\n

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