Stable spread in your pocket? Draw Things Bring AI Photos to iPhone

Stable spread in your pocket?  Draw Things Bring AI Photos to iPhone

Stable spread in your pocket? Draw Things Bring AI Photos to iPhone

Stable spread in your pocket?  Draw Things Bring AI Photos to iPhone
Zoom / Generate AI photos with “Draw Things” on iPhone.

Bing Edwards / Apple

On Wednesday, a San Francisco-based developer named Liu Liu . launched Draw Things: The AI ​​Generationa free app available in the App Store that allows iPhone owners to run apps stable spread AI image generator. Type a description, and the app will generate an image within several minutes. It’s a notable step toward bringing photo synthesis to a wider audience – with the added privacy of playing it on your own devices.

Introduced in August, Stable Diffusion (SD) is an AI image generator model that creates new images from text descriptions (called “claims”). People usually manage SD through commercials DreamStudio Service on a remote cloud device with a leased account time, or locally on a computer Using a dedicated open source application. When running locally, SD requires a fairly powerful GPU to quickly create images, but some developers the benefactor The model that runs on older GPUs with reduced VRAM (if you don’t mind waiting longer to see results).

Along the same lines, Liu Liu was able to improve Stable Diffusion to run on the iPhone, which is a rather difficult process that the developer has done. Described in a blog post. “The main challenge is getting the app to work on iPhone 6 GB RAM devices,” wrote Liu Liu. “6GB sounds like a lot, but iOS will start killing your app if you use more than 2.8GB on a 6GB device and more than 2GB on a 4GB device.”

When you first run Draw Things, the app downloads several necessary files — including the Stable Diffusion 1.4 template — to your iPhone. To use it, type a prompt at the top of the screen, then click Create. In between image creation, tap the number at the top center of the screen to randomize the seed, a number that partially guides image creation.

Snapshots from
Zoom / Screenshots of the Draw Things app on the iPhone showing the generation screen (left) and the settings screen (right).

Bing Edwards

On my iPhone 11 Pro, it took just over two minutes to create a 384 x 384 photo. It’s faster on the iPhone 14 Pro, according to Liu Liu, with a photo created in about a minute. Either way, SD is computationally intensive. After successive generations, our iPhone has become remarkably warm to the touch.

It’s worth noting that using Stable Diffusion, 384 x 384 images often yield poor results and are relatively low in detail because SD creators trained the model with a 512 x 512 image. When trying to generate a 512 x 512 image on our iPhone 11 Pro, we received a warning And we followed up anyway, but the app crashed to a black screen.

In addition to regular photo creation duties, Draw Things also supports in-drawing, which allows you to replace part of an image with AI-generated images and upload additional photomontage templates such as unauthorizedModern Disney spread“Model (which generates Disney-like characters) and animated film supported”Spread of Waifu(We tested it, and it’s possible to generate NSFW stuff with the app, so be careful.) Including this capability means Draw Things might not stay in the App Store for long if it becomes popular, as the content it generates may violate Apple’s terms of service.

Whatever its fate, Draw Things looks like a significant proof of concept, showing that Stable Diffusion can run natively on the iPhone, even if it’s slowly. If the application persists—perhaps with some filters or tweaks—Liu Liu describes space for potential future improvements that might speed things up: “Maybe I left 50% performance on the table.”

This isn’t the first time Stable Diffusion has been played on the iPhone. In September the developer Matt Waller ran Stable Diffusion natively on his iPhone XS, but did not provide the App Store app that allows others to replicate this feat. We’ll likely see more native AI image synthesis on smartphones as computational hardware continues to increase in power.

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