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Utku Coban

utkucoban
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AI & ML interests

Tiny models for fast, cheap, accessible inference on edge devices

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updated a Space about 24 hours ago
utkucoban/NanoDreamer-Demos-F
published a Space about 24 hours ago
utkucoban/NanoDreamer-Demos-F
repliedto SeaWolf-AI's post 2 days ago
🖼️ NO GPU, Only CPU : Z-Image model Zero graphics cards. 46 seconds. Photoreal. That laptop you're reading this on. No graphics card, right? It generates images. No CUDA install. No Python environment. No driver changes. One binary, three model files. Done. 📊 Measured — GPU count used: zero 512×512 : 46.4 s Korean prompt : 45.3 s (faster than English) 1024×1024 : 192.7 s Peak RAM : 6.42 GB GPUs used : 0 (Intel Xeon Gold 6526Y ×2, 48 threads, Q4_0, 3 steps) ⚡ From 244 seconds to 46 — 5.3× Run it on defaults and it takes 244 s. Switch to 3 steps and it's 48.6 s. Add VAE tiling and it's 46.4 s. The biggest culprit was the default. Z-Image Turbo is distilled to paint in few strokes, but the tool's default is 20. We were throwing away 5× for no reason. So were we, at first. 3 is the floor. Put 4 and 3 side by side and you cannot tell them apart. At 2 it collapses — water droplets and wood grain vanish, and the surface turns cloth-like. 🔗 Links Model https://huggingface.co/FINAL-Bench/POCKET-Zimage-CPU Live demo Space (runs on CPU) https://huggingface.co/spaces/FINAL-Bench/POCKET-Zimage-CPU POCKET collection https://huggingface.co/collections/FINAL-Bench/pocket-models-6a618ee5d23eafb7e185a5c6
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