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93 lines
3.7 KiB
Markdown
93 lines
3.7 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 - Stage 1 begins, train concept command opened for usage
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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, train concept command closed
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2022/10/24 12PM UTC - Stage 2 ends, no more entries will be accepted
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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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![20221019203426_00000](https://user-images.githubusercontent.com/106811348/197045193-d6f9c56b-9989-4f1c-b42a-bb02d62d77cd.png)
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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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![image](https://user-images.githubusercontent.com/106811348/197045629-029ba6f5-1f79-475c-9ce7-969aaf3d253b.png)
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* `The Sims(TM): Stable Diffusion edition`
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## So I can trai-
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* Yes, as long as it's sfw
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## `The Sims(TM): Stable Diffusion edition` ?
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For this event the theme is “The Sims: Stable Diffusion edition”.
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So we have selected a subset of [products from Amazon Berkely Objects dataset](https://github.com/sd-webui/abo).
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Any other object is welcome too these are just a good source of data for this part of the competition.
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Each product has images from multiple angles, the train concept command accepts up to 10 images, so choose the angles and modify backgrounds, experiment!
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The goal with this category is to generate an image using the trained object, and the other categories apply, your imagination is the only limit! style a couch, try to make a BIG couch, try to make a couch on top of a mountain, try to make a vaporwave couch, anything!
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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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![Untitled-2](https://user-images.githubusercontent.com/106811348/197035834-cc973e29-31f8-48de-be2d-788fbe938b2e.png)
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![image](https://user-images.githubusercontent.com/106811348/197035870-b91ef2a8-0ffd-47e1-a8df-9600df26cd6b.png)
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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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![image](https://user-images.githubusercontent.com/106811348/197037250-044ea241-72a5-4caa-b772-35034245b4b6.png)
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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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![image](https://user-images.githubusercontent.com/106811348/197037344-7ce72188-9129-4ba2-8a28-cba5fd664a9c.png)
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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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![image](https://user-images.githubusercontent.com/106811348/197037892-ce53bea4-d1db-4b25-bb7c-7dfe4d71b2b1.png)
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