Can Android phones run Stable Diffusion locally?

Yes. All Android phones running Off Grid use the MNN backend (CPU-based, works on all devices). Phones with Snapdragon 8 Gen 1 or newer also get QNN NPU acceleration, which is 2-3x faster.

How long does image generation take on Android?

On Snapdragon 8 Gen 2/3 with QNN NPU, 512x512 images take roughly 5-10 seconds at 20 steps. CPU-only (MNN) takes around 15 seconds on the same chip.

Do I need a specific chipset for image generation?

No. MNN backend works on all ARM64 Android devices. QNN NPU acceleration requires Snapdragon 8 Gen 1 or newer for the fastest results.

How to Run Stable Diffusion on Your Android Phone (On-Device AI Image Generation)

Every image you generate on Midjourney, DALL-E, or Adobe Firefly is stored on their servers. Your prompts, the images, metadata. It’s used for training and stored indefinitely.

Off Grid runs Stable Diffusion entirely on your phone using Alibaba’s MNN framework (CPU) or Qualcomm’s QNN engine (NPU). Nothing is uploaded.

Requirements

Android phone with 4GB RAM minimum (6GB+ recommended)
Android 10 or later
~1–2GB free storage per model
Internet once for the model download

Step 1 - Install Off Grid

Get Off Grid on Google Play

Step 2 - Download an image model

Open Off Grid → Models → switch to the Image tab
Choose a model based on your chipset:

All devices (MNN/CPU):

Anything V5 - anime/stylised art
Absolute Reality - photorealistic
QteaMix - versatile
ChilloutMix - portrait-focused
CuteYukiMix - stylised

Snapdragon 8 Gen 1+ (QNN/NPU) - faster:

DreamShaper, Realistic Vision, MajicmixRealistic, and 15+ more

Tap Download (~1–1.2GB per model)

Step 3 - Generate your first image

Open Off Grid → Image Generation
Type a prompt: a mountain valley at sunset, photorealistic, golden hour
Tap Generate

Off Grid automatically detects whether your device supports QNN NPU and uses it if available, falling back to MNN (CPU) otherwise.

Performance

Backend	Chipset	Time for 512×512 @ 20 steps
QNN NPU	Snapdragon 8 Gen 2/3/4	~5–10s
QNN NPU	Snapdragon 8 Gen 1	~10–15s
MNN CPU	Any ARM64	~15s (Snapdragon 8 Gen 3)
MNN CPU	Mid-range	~25–40s

Tips for better images

Prompt structure - [subject], [style], [lighting], [quality descriptors]. Example: a red fox in a forest, digital art, golden hour lighting, highly detailed, sharp focus

Use prompt enhancement - Off Grid can use your loaded text model to automatically expand a short prompt into a detailed one. Enable it in the generation screen. Just type a fox in a forest and let the LLM do the rest.

Steps - 20 steps is a good default. 30 gives marginally better quality at the cost of ~50% more time.

Negative prompt - Add blurry, low quality, distorted, deformed to suppress common artifacts.