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Show HN: A decent text-to-image model trained for ~$20K (Apache 2.0 Weights)

Fonte: Show HN ·

My brother and I run a 2-person lab that trains our own generative video models from scratch. The ultimate goal is a set of creative tools that make it easier for anyone to make animation. Video models today are too slow/expensive and lack sufficient controls. Creativity is an iterative process. You make, you tweak, you get better. In our opinion, they're not usable yet for storytelling. When we set out to build Linum v3 (our next video model) earlier this year, the primary goal was to bring the cost envelope of inference down significantly. If our model is fast and cheap, it's the first step

Che cos'è Show HN: A decent text-to-image model trained for ~$20K (Apache 2.0 Weights)?

Show HN: A decent text-to-image model trained for ~$20K (Apache 2.0 Weights) is a strumento discovery curated from Show HN. My brother and I run a 2-person lab that trains our own generative video models from scratch. The ultimate goal is a set of creative tools that make it easier for anyone to make an

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Show HN: Hacker Living – HN's most recommended places

HackerTV and HackerTube inspired me to explore another corner of HN recommendations: places worth visiting and typefaces people enjoy using. I built: https://hacker.living - a map and font collections with links back to the original comment. I built this entirely using Codex, including the entire data pipeline and workers: extraction, transformation, and recommendations capture. It's still an early stage preview, so some details need verification. Thanks for the inspiration! Code: https://github.com/grandimam/hacker.living Comments URL: https://news.ycombinator.com/item?id=50395134 Points: 1 #

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