# Prompt Generators

* [Neuralism Generative Art Prompt Generator](https://colab.research.google.com/drive/1mrlY_mc-HdIxEHILY2BvA9u0mOjD2Ze5) - generate prompts to use for 
* [Textsynth Playground](https://textsynth.com/playground.html) - text completion using large language models
* [Dalle-2 Prompt Generator](http://dalle2-prompt-generator.s3-website-us-west-2.amazonaws.com/) - nice site that let's you generate interesting text prompts
* [Prompt Parrot](https://colab.research.google.com/drive/1ZZWvzsqjEHNn1qevQ4ed7Ozs4vij7qfc?usp=sharing) by @KyrickYoung - train GPT2 on a list of your prompts
* [MadLib Prompt Generator](https://colab.research.google.com/drive/1gGwD0zDvyx0OnJU4KLjE8HrwnTlzI2rS) - makes interesting prompts for you, by @remi\_durant
* [Noodle Soup Prompts v2.1](https://colab.research.google.com/github/WASasquatch/noodle-soup-prompts/blob/main/Noodle_Soup_Prompts_Prompt_Terminology_Generator_v2_1.ipynb) by WASasquatch
* [Neuralism Prompt Generator](https://colab.research.google.com/drive/1mrlY_mc-HdIxEHILY2BvA9u0mOjD2Ze5#scrollTo=tiOsdJV4u0FY) - generative art prompt generator
* [Creative Fabrica](https://www.creativefabrica.com/spark/prompt-book/) text to image prompts - has a nice guide
* [Stable Diffusion V2 CFG Scale Comparison](https://proximacentaurib.notion.site/Stable-Diffusion-V2-CFG-Scale-Comparison-a7d98b8b8a9c4e6e9cbb0ba3282a9b38) - nice ref of samplers and cfg scale
* [krea.ai](https://www.krea.ai/) search stable diffusion prompts and browse by modifiers
* [libraire.ai](https://libraire.ai/) search 10 million stable diffusion prompts and images
* [Prompt Parrot v2.0](https://colab.research.google.com/drive/1GtyVgVCwnDfRvfsHbeU0AlG-SgQn1p8e?usp=sharing) by @KyrickYoung (train gpt2 on prompt list then generate with stable-diff)
* [Lexica](https://lexica.art/) stable diffusion prompt search engine
* [Promptomania](https://promptomania.com/) by @wszp - cool prompt building tool!
* [Stable Diffusion Artist Studies](https://proximacentaurib.notion.site/e2537cbf42c34b7e9a9a4126f81dfd0d?v=7b4a3c03fb654045be324eb71acc57e6) by @proximasan @EErratica @KyrickYoung @surrailabs
* [Stable Diffusion Modifier Studies](https://proximacentaurib.notion.site/2b07d3195d5948c6a7e5836f9d535592?v=b5b75a67cc52483c9965cfc141f6f582) by @proximasan +
* [Disco Diffusion Portrait Study](https://docs.google.com/document/d/1Ff8s8CX3xGrVr6AJ94hcvQ_PYqJ_mDAXzT3NGb5_K1w/edit) by @enviraldesign
* [Dall-e 2 prompt book](https://dallery.gallery/the-dalle-2-prompt-book/) by @GuyP
* [Disco Diffusion Modifiers Study](https://weirdwonderfulai.art/resources/disco-diffusion-modifiers/) by @KyrickYoung and @sureailabs
* [DiscoDiffusion Model Comparison Study](https://peakd.com/@kaliyuga/model-comparison-study-for-disco-diffusion-v-5-ai-resources-by-kaliyuga) - by @KaliYuga
* [Midjourney Artist Dump](https://docs.google.com/spreadsheets/d/1P9fM68jKeA1IH45i_qXINu2QhIcmCJXQSdLTxRI23oE/edit#gid=0) - spreadsheet or artists and example render
* [Disco Diffusion 70+ Artist Studies](https://weirdwonderfulai.art/resources/disco-diffusion-70-plus-artist-studies/)
* [Guide to Writing Prompts for Text to Image](https://docs.google.com/document/d/1XUT2G9LmkZataHFzmuOtRXnuWBfhvXDAo8DkS--8tec/edit) - Google Doc guide and advice
* [CLIP Retrieval Tool](https://rom1504.github.io/clip-retrieval/) - see what kinds of images match strings for CLIP (wait a long time for it to load)
* [CLIP Prompt Engineering for Generative Art](https://matthewmcateer.me/blog/clip-prompt-engineering/) - A nice long guide by Matthew McAteer
* [CLIP + VQGAN keyword comparison](https://imgur.com/a/SnSIQRu) by @kingdomakrillic
* [Artist Studies](https://remidurant.com/artists/) by @remi\_durant - big collection of results using different artist names
* [Art Movements and Styles as perceived by VQGAN + Clip](https://imgur.com/gallery/BZzXLHY) (Imagenet 16k, ViT-B/32)
* [Art Movements and Styles as perceived by VQGAN + Clip](https://imgur.com/gallery/w14XZFd) (Imagenet 16k, ViT-B/16)
* [Art Movements and Styles as perceived by VQGAN + Clip](https://imgur.com/gallery/Kd0WYfo) (Imagenet 16k, RN50x16)
* [Art Movements and Styles as perceived by VQGAN + CLIP](https://imgur.com/gallery/PNd7zYp) (Imagenet 16k, RN50x4)


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