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Resources
David Marx edited this page Feb 23, 2022
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- The Tao of CLIP - If you feel overwhelmed trying to understand how this all works or what different pytti options do, this may be helpful.
- Community Notebooks
- Eyal Gruss curated list via /r/MediaSynthesis
- Artist Studies - A great resource for prompt-engineering.
- keyword comparison by @kingdomakrillic
- https://faraday.logge.top/ - Searchable Database of images generated by an EleutherAI discord bot
- https://www.enchantedlearning.com/wordlist/
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http://wordnetweb.princeton.edu/perl/webwn
- alt: https://en-word.net/
- OpenAI Microscope - Model feature visualizations, useful to better understand how/what the AI "understands" about the world.
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https://github.com/thunlp/PromptPapers
- Mainly focuses on prompt engineering for decoder-only models (i.e. auto-regressive) like T5 and GPT
- CLIP's text model is a BERT-famiy, encoder-only model (auto-encoding).
- Detailed discussion of modern language model architectures: https://huggingface.co/docs/transformers/model_summary
- https://huggingface.co/docs/transformers/bertology
- https://renderstuff.com/tools/360-panorama-web-viewer/ - applies a spherical transformation to images