24 Hours, $1,500, and a Text-to-Image Model That Almost Works
GPUs spin up. Code fires. Twenty-four hours vanish. Out pops a text-to-image model—trained for pocket change. But is this revolution or just clever stacking?
⚡ Key Takeaways
- Stacked diffusion tricks yield a viable text-to-image model in 24 hours for $1,500 on 32 H200s.
- Pixel-space training + perceptual losses (LPIPS, DINO) + TREAD routing = efficient speedrun.
- Open-source code democratizes high-end T2I, but scale still rules for top quality.
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Originally reported by Hugging Face Blog
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