laion-ai / laionide-v2

GLIDE from OpenAI finetuned on roughly 30M more samples. See `laionide-v3` for the latest.

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  • 3.8K runs
  • GitHub
  • License
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Playground API Examples README Versions

😵 Uh oh! This model can't be run on Replicate because it was built with a version of Cog or Python that is no longer supported. Consider opening an issue on the model's GitHub repository to see if it can be updated to use a recent version of Cog. If you need any help, please Contact us about it.

Examples

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Run time and cost

This model costs approximately $0.011 to run on Replicate, or 90 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 50 seconds. The predict time for this model varies significantly based on the inputs.

Readme

/compare.png Top - OpenAI GLIDE (filtered), Bottom - LaionideV2

Watermarks

There are watermarks in some outputs. You can try to prompt engineer this away, but it isn’t always possible. royalty free seems to work well.

Direct comparison with OpenAI GLIDE

You can see a comparison over the same captions in this weights & biases report

Data filtering

Data was removed from training given any of the following: - Value of ‘NSFW’ or ‘LIKELY’ in the nsfw column from LAION’s metadata - Images which originally had an aspect ratio greater than 1.3 (or) less than 0.8 - The original width or original height is less than 256 pixels. - Captions were checked against a list of slurs. If a slur is in the caption, it is removed. I won’t be publishing the slurs.

Shout out to stability.ai for donating the compute to laion needed for this to be possible.