In my previous posts, we've explored how models like CLIP can encode semantic meaning in images and how contrastive learning can help us learn features without labels. Today, we're diving into one of ...
Simple example of diffusion using MFEM and stroid. This is built as a test case for me to verify that stroid generates well conditioned meshes and to test implicit time stepping schemes in MFEM. This ...
' AUTOMATIC 1111 version Stable Diffusion web UI ', which allows you to easily introduce image generation AI / Stable Diffusion to Windows environment or Google Colab, and can be easily operated from ...
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