ml-stable-diffusion

工具介绍

Stable Diffusion 有苹果硅上的核心ML

核心特点

• •python_coreml_stable_diffusion, a Python package for converting PyTorch models to Core ML format and performing image generation with Hugging Face diffusers in Python
• •This benchmark was conducted by Apple and Hugging Face using public beta versions of iOS 17.0, iPadOS 17.0 and macOS 14.0 Seed 8 in August 2023.
• •The performance data was collected using the benchmark branch of the Diffusers app
• •Swift code is not fully optimized, introducing up to ~10% overhead unrelated to Core ML model execution.
• •The median latency value across 5 back-to-back end-to-end executions are reported
• •Weights are compressed to 6 bit precision. Please refer to this section for details.
• •Activations are in float16 precision for both the GPU and the Neural Engine.
• •* indicates that the reduceMemory option was enabled which loads and unloads models just-in-time to avoid memory shortage. This added up to 2 seconds to the end-to-end latency.
• •Performance may vary due to factors like increased system load from other applications or suboptimal device thermal state.
• •This benchmark was conducted by Apple and Hugging Face using iOS 17.0.2 and iPadOS 17.0.2 in September 2023.