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Yogansh Bhatt

Yogansh
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reacted to danielhanchen's post with πŸ”₯ 7 days ago
Unsloth has surpassed 500M model downloads on Hugging Face! πŸ¦₯πŸ€— Qwen3.8-27B GGUF is already Unsloth’s #1 most-downloaded model ever. Thanks for all your support! Follow us: https://huggingface.co/unsloth
reacted to SeaWolf-AI's post with πŸ”₯ 7 days ago
πŸ–ΌοΈ 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. πŸ“Š Measured β€” GPU count used: zero 512Γ—512 : 46.4 s Korean prompt : 45.3 s (faster than English) 1024Γ—1024 : 192.7 s Peak RAM : 6.42 GB GPUs used : 0 (Intel Xeon Gold 6526Y Γ—2, 48 threads, Q4_0, 3 steps) ⚑ From 244 seconds to 46 β€” 5.3Γ— 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 5Γ— 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 β€” water droplets and wood grain vanish, and the surface turns cloth-like. πŸ”— 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
updated a collection 12 days ago
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