Stability AI
Stable Diffusion XL (CoreML)
Higher quality image generation. CoreML optimized for iOS. Requires 6GB+ usable memory (iPad/Mac recommended).
About This Model
Stable Diffusion XL (CoreML) by Stability AI is a powerful text-to-image generation model designed for local deployment, boasting 3.5 billion parameters and an unet-diffusion architecture. This model excels at generating high-quality, detailed images from textual descriptions, making it a top choice for artists, designers, and content creators who need sophisticated visual outputs without relying on cloud services. The CoreML quantization ensures efficient performance on Apple devices, requiring only 3.3 GB of VRAM, which is notably lightweight for such a capable model.
In its size class, Stable Diffusion XL (CoreML) punches well above its weight, offering a balance between computational efficiency and output quality that is hard to match. While larger models might offer slightly higher resolution or more intricate details, the efficiency of this model makes it a practical choice for users with mid-range hardware. It is particularly suitable for those with Apple devices, as the CoreML optimization ensures smooth operation even on systems with limited VRAM. Ideal users include hobbyists, professionals, and anyone looking to generate high-quality images locally without significant hardware investment.
Check Your Hardware
See which quantizations of Stable Diffusion XL (CoreML) your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| CoreML | 16 | 2.843 GB | 3.34 GB | 3.84 GB | 100% |
Try It — Diffusion Generation Demo
Click "Generate" to watch how Flux.1 creates an image from noise. Real outputs from RunThisModel.com.

"A cozy wooden cabin in snowy mountains at golden hour sunset"

"A friendly humanoid robot reading a book in a library"

"Gourmet sushi platter, professional food photography"

"Woman scientist in a modern lab, natural lighting"

"Snow leopard on mountain peak at dawn, golden rim light"

"Cyberpunk city at night, neon signs, rain reflections"
Animation simulates the diffusion denoising process at recorded generation speed. Actual generation requires GPU hardware or cloud service.
Frequently Asked Questions
How much VRAM do I need to run Stable Diffusion XL (CoreML)?
Stable Diffusion XL (CoreML) requires 3.34GB VRAM minimum with CoreML quantization. For full precision, you need 3.34GB VRAM.
What is the best quantization for Stable Diffusion XL (CoreML)?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.