---
license: creativeml-openrail-m
base_model:
- stabilityai/stable-diffusion-2-1-base
tags:
- stable-diffusion
- mnn
- cpu
- onnx
- image-generation
inference: false
---

# Stable Diffusion 2.1 (MNN Conversion)

This repository contains a **Stable Diffusion 2.1** model converted to the [MNN](https://github.com/alibaba/MNN) format for efficient inference on CPU.  
The base model is [`stabilityai/stable-diffusion-2-1-base`](https://huggingface.co/stabilityai/stable-diffusion-2-1-base).

## Conversion Process

1. Exported the original model to **ONNX** using MNN:
   ```bash
   cd mnn_path/transformers/diffusion/export
   python onnx_export.py \
       --model_path stabilityai/stable-diffusion-2-1-base \
       --output_path output/path

2. Converted each component from **ONNX → MNN**:
   ```bash
   # Clip (text encoder)
   ./MNNConvert -f ONNX --modelFile ./text_encoder.onnx --MNNModel ./text_encoder.mnn --fp16
   # Unet 
   ./MNNConvert -f ONNX --modelFile ./unet.onnx --MNNModel ./unet.mnn --weightQuantBits 8 --weightQuantAsymmetric --weightQuantBlock 32
   # VAE decoder 
   ./MNNConvert -f ONNX --modelFile ./vae_decoder.onnx --MNNModel ./vae_decoder.mnn --fp16