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rom1504/clip-retrieval

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Easily compute clip embeddings and build a clip retrieval system with them

9 mentions on Hacker News by 6 people: 1 story, 8 comments · first 2021-09-01 · latest 2023-02-06

Mentions per year 9 mentions · busiest year 2023 (4)
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  1. relevant: https://rom1504.github.io/clip-retrieval/ https://github.com/rom1504/clip-retrieval Ironically, the stableattribution.com authors didn't give any attribution or credit to clip-retrieval and its developer
    comment by heliumcraft · 2023-02-06 · in Stable Attribution
  2. …with a given image. It appears to be the same as the open source software published by LAION. https://github.com/rom1504/clip-retrieval It does not appear to actually show you how images were used to train a generative AI.
    comment by f38zf5vdt · 2023-02-05 · in Stable Attribution
  3. Hehe, well you know, PR welcome, the front end is 500 lines https://github.com/rom1504/clip-retrieval/blob/main/front/sr... Other people have done a few alternate front ends already This one is meant to be functional, but could sure be…
    comment by rom1504 · 2023-02-02 · in Same.energy: Image Search by Similarity
  4. …I recommend exploring as well. https://rom1504.github.io/clip-retrieval/ (usually performant) https://github.com/rom1504/clip-retrieval
  5. Done https://github.com/rom1504/clip-retrieval/commit/53e3383f58b... Using clip for searching is better than direct text indexing for a variety of reasons but here for example because it matches better what stable diffusion sees Still…
  6. …embeds for quick retrieval/decode. You can then do text->image, and image->image semantic search. https://github.com/rom1504/clip-retrieval
  7. …NVIDIA GPU, you can build a semantic image search engine by indexing CLIP embeds (image or text). https://github.com/rom1504/clip-retrieval
  8. …between the embeds and there are many instances where a lookup table approach is already being applied e.g. github.com/rom1504/clip-retrieval.
    comment by ShamelessC · 2021-09-01 · in Multiplying Matrices Without Multiplying