I’ve been testing local Stable Diffusion 1.5 generation on an iPhone and wanted to share the numbers, since most SD benchmarks are still desktop/GPU-focused Setup:
- Device: iPhone 17
- Output: 512x512
- Compute: CPU + Neural Engine
- 3 models x 3 prompts x 3 takes = 27 total generations
- final sheet shows the best generation for each prompt/model pair
- timings are warm runs, with model packs already installed/prepared Models/settings tested: CyberRealistic | DPM Solver Multistep / Karras | 30 steps / CFG 7 | 13.6s DreamShaper 8 LCM | LCM / Leading | 10 steps / CFG 2 | 4.5s Realistic Vision V5.1 Hyper | DPM Solver Singlestep / Karras | 6 steps / CFG 1.5 | 3.1s How is this flying under the radar? 🤯🤯🤯 I am pretty sure with some further model or runtime optimization, as well as hardware upgrades we will get almost instant image generations and soon video generation will be possible as well. Full benchmark and all the details here: https://medium.com/@rokbozi/iphone-stable-diffusion-1-5-benchmark-local-ai-image-generation-is-fast-3462f58491e9 submitted by /u/OptimisticPrompt
Originally posted by u/OptimisticPrompt on r/ArtificialInteligence
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