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SDXL runs fully on iPhone, user seeks mobile optimization tips

A user has successfully run the full Stable Diffusion XL (SDXL) model entirely on an iPhone, with generation times of approximately 20 seconds for 768px images on an A17 chip. The primary bottleneck identified is RAM, limiting resolution to 768x768, rather than GPU speed. The user is seeking advice on optimizing for fewer steps and higher resolutions on mobile devices, specifically asking about few-step distillation methods and techniques to push beyond the current resolution limits without exceeding memory capacity. AI

IMPACT Demonstrates the feasibility of running large diffusion models on mobile devices, potentially enabling new on-device AI applications.

RANK_REASON User-level implementation of an existing model on a new platform, seeking optimization advice.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SDXL runs fully on iPhone, user seeks mobile optimization tips

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/AnknMan ·

    Full SDXL running on iPhone, fully on-device — 768px, 20 steps, ~20s on A17. What’s actually worked for cutting steps / pushing resolution on mobile?

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1tzmtzx/full_sdxl_running_on_iphone_fully_ondevice_768px/"> <img alt="Full SDXL running on iPhone, fully on-device — 768px, 20 steps, ~20s on A17. What’s actually worked for cutting steps / pushing resolu…