Proto_AGI PRO

mayafree

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Recent Activity

reacted to SeaWolf-AI's post with ❤️ about 4 hours 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

reacted to SeaWolf-AI's post with 👀 about 4 hours 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

reacted to SeaWolf-AI's post with 🚀 about 4 hours 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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Organizations

mayafree 's Spaces 14

Model Genome Korea

DNA lineage test of Korean LLM & VLM foundation models

MiniMax-H3 Ultra Fast

Ultra-fast local NVFP4 video + synchronized audio generation

TRELLIS.2-Text-to-3D (Rerun)

Text-to-Image → 3D or Image-to-3D

Typed Decision Leaderboard

JEV & open-Jev answer verifiers, one identical test set

Verifier Playground

Run ZTC, JEV and Laya on the same question and answer

Titan1

Score language models on 100 metacognitive benchmark tasks

Titan1

Evaluate LLMs on 100 metacognitive benchmark tasks

Titan1

Evaluate LLMs on 100 metacognitive benchmark tasks

Titan1

Evaluate LLMs on FINAL Bench metacognitive tasks

Titan1

Evaluate LLMs on the FINAL Bench Metacognitive benchmark

All Bench

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Open NPC AI

openclaw moltbot

LightOnOCR 2 1B Demo

Extract and recognize text from images and PDFs

Humangen

humangen.ai