Re:Qwen-Image: Crafting with Native Text Rendering
by RossBencina on Monday August 04, 2025 @05:31PM
(#44791601)
Does M3 Ultra or later have hardware FP8 support on the CPU cores?
Re:Qwen-Image: Crafting with Native Text Rendering
by reissbaker on Monday August 04, 2025 @07:38PM
(#44792616)
Ah, you're right: it doesn't have dedicated FP8 cores, so you'd get significantly worse performance (a quick Google search implies 5x worse). Although you could still run the model, just slowly.
Any M3 Ultra Mac Studio, or midrange-or-better Macbook Pro, would handle FP16 with no issues though. A 5090 would handle FP8 like a champ and a 4090 could probably squeeze it in as well, although it'd be tight.
Re:Qwen-Image: Crafting with Native Text Rendering
by dur-randir on Tuesday August 05, 2025 @02:10AM
(#44794806)
Memory bandwidth is only relevant for comparing LLM performance. For image generation, the limiting factor is compute, and Apple sucks with it.
Re:Qwen-Image: Crafting with Native Text Rendering
by 42lux on Tuesday August 05, 2025 @05:17AM
(#44795911)
If you want to wait 20 minutes for one image you can certainly run it on a macbook pro.
Re:Qwen-Image: Crafting with Native Text Rendering
by roenxi on Tuesday August 05, 2025 @06:30AM
(#44796370)
The quality doesn't have to get much higher for that to be a great deal. For humans the wait time is typically measured in days.
Re:Qwen-Image: Crafting with Native Text Rendering
by 42lux on Tuesday August 05, 2025 @07:08AM
(#44796612)
Tell me you have no experience with generative ai image models nor with human artists.
Re:Qwen-Image: Crafting with Native Text Rendering
by roenxi on Tuesday August 05, 2025 @08:58AM
(#44797463)
What experience do you want to point too? I've never seen an artist streaming where they can draw something equivalent to a good piece of AI artwork in 20 minutes. Their advantage right now comes from a higher overall cap on quality of the work. Minute for minute, AIs are much better. It is just that it is pointless giving a typical AI more than a a little time on a GPU because current models can't consistently improve their own work.
Also for a 20B model, you only really need 20GB of VRAM: FP8 is near-identical to FP16, it's only below FP8 that you start to see dramatic drop-offs in quality. So literally any Mac Studio available for purchase will do, and even a fairly low-end Macbook Pro would work as well. And a 5090 should be able to handle it with room to spare as well.