HiDream-O1-Image 3–8x Faster: Benchmarking Steps, CFG, and Resolution
The article discusses the performance of the HiDream-O1-Image model in generating images more efficiently. By adjusting parameters such as steps and guidance, users can significantly reduce generation time while maintaining quality. The author emphasizes the importance of speed in iterative exploration for image generation workflows.
- ▪The HiDream-O1-Image model can produce images in as little as 3.83 seconds with specific configurations.
- ▪Lowering the number of steps and adjusting guidance can enhance iteration speed without compromising too much on quality.
- ▪The recommended configuration for a good balance of speed and quality is 1536x1536 resolution with 28-36 steps.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3945785) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } shinji shimizu Posted on May 22 • Originally published at kotonia.ai HiDream-O1-Image 3–8x Faster: Benchmarking Steps, CFG, and Resolution #ai #machinelearning #python #gpu TL;DR I'm running HiDream-O1-Image Full as a persistent local server integrated into a Studio UI. The official recipe — 2048x2048 / 50 steps / guidance 5.0 — produces beautiful results, but each image takes around 33 seconds. That's too slow for iterative exploration.
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