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README.md

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-license: cc0-1.0
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+---
+license: cc0-1.0
+tags:
+- art
+---
+# Memleak.nude: a digital installation created through the nakedness of metal.
+
+# Thesis and Methodology:
+Humanity has switched intimacy and its entire realness into digital life, whereas public life has became a source of self-censorship. Our silicon collects it all, unfiltered, unlabeled and untethered by human boundaries.
+The unfilteredness of data enticed me. Even though computers in the top levels have context about the data, like file headers, everything is clear and unfiltered binary when looked upon.
+Therefore for 12 days, 20 minutes and 43 seconds before creating the dataset, the artist lived through their computer, never closing anything. allocated. garbage uncollected.
+then, with aid from [ChatGpt](https://chatgpt.com/share/2d6be9f3-81fe-4e72-96ee-bf11bf052587) learned to dump all the memory into a raw data file, and a python script to convert the raw data to images.
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+The script generated 47365 images derived from my digital memory. This was a nude self portrait of my naked metal, my body without organs, the most sensitive data leak for a digital body.
+
+The artist then curated 102 images out of this massive data to train this embedding. both as a way to keep their sensitive data safe and to be anonymously digitally naked.
+The embedding was overtrained with a small learning rate to capture as many details from visualized raw data, 10000 steps and 1e-6. every third, the model was changed, sd 1.4, [analog diffusion](https://huggingface.co/wavymulder/Analog-Diffusion) and [retrodiffusion](https://www.retrodiffusion.ai/home) in the final pass.
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+the model and the embeddings are cc0, any outputs that come out can be commercialized by the output's creator, the end user, with no reference needed to me, the author.
+have fun, do anything you like with it. i can't impose restrictions on beauty.
+
+
+## Intended uses & limitations
+
+create compositions out of an artist's most sensitive data leak.
+#### How to use
+copy the contents to your inversion embedding folders for your local stable diffusion.
+
+#### Limitations and bias
+the embedding works best at creating init images and be used in AND statements with a weight. i.e. a woman AND nakedMetal::0.ab . Personally found 0.17-0.4 the best range but you are invited to experiment if using. 
+
+## Training data
+
+the training data consists of 102 images of the artist's personal sensitive raw data. here are a few examples: