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72 lines
2.8 KiB
Markdown
72 lines
2.8 KiB
Markdown
# Textual inversion usage competition
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We are hosting a competition where the community can showcase their most inventive use of textual inversion concepts in text-to-image or text-to-video.
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Our compute cluster; `Nataili`, currently comprises of 3 nodes, two have 3090, the other has 2 x A5000.
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We estimate `Nataili` can handle 12 concepts per hour, and we can add more workers if there is high demand.
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Hopefully demand will be high, we want to train **hundreds** of new concepts!
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# Schedule
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2022/10/20 - Competition announced, training begins
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2022/10/22 12AM UTC - Stage 2 begins, text to image command opened for usage
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2022/10/22 12PM UTC - Stage 1 ends
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2022/10/24 12PM UTC - Stage 2 ends
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2022/10/24 6-12PM UTC - Winners announced
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# What does `most inventive use` mean?
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Whatever you want it to mean! be creative! experiment!
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There are several categories we will look at:
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* anything that's particularly creative, ~artistic~ or a e s t h e t i c
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* composition; meaning anything related to how big things are, their position, the angle, etc
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* styling;
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# How do I train a concept using the discord bot?
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Type `/trainconcept` then press tab to go through the fields
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`Concept name` is just a name for your concept, it doesn't have to be a single word
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`Placeholder` is what you will use in prompts to represent your concept
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Add `<` and `>` so it is unique, multiple words should be hyphenated
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`Initializer` is used as the starting point for training your concept, so this should be a single word that represents your concept
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Minimum 2 images. Squareish aspect ratios work best
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# How do I use the trained concept?
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## Prompting with concepts
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When your concept is trained you can use it in prompts.
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`a cute <nvidiafu> as an astronaut`:
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or `a green <green-couch> sitting on top of a floor, a 3D render, trending on polycount, minimalism, rendered in cinema4d`:
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## Using concepts in the webui
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The discord bot will give you a link to a `.zip` file, download this, extract it, and put the folder in `stable-diffusion-webui/models/custom/sd-concepts-library`
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