---
license: creativeml-openrail-m
tags:
- coreml
- stable-diffusion
- text-to-image
- not-for-all-eyes
---
# Core ML Converted Model:
- This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).
- Provide the model to an app such as Mochi Diffusion [Github](https://github.com/godly-devotion/MochiDiffusion) - [Discord](https://discord.gg/x2kartzxGv) to generate images.
- `split_einsum` version is compatible with all compute unit options including Neural Engine.
- `original` version is only compatible with CPU & GPU option.
- Custom resolution versions are tagged accordingly.
- The `vae-ft-mse-840000-ema-pruned.ckpt` vae is embedded into the model.
- Descriptions are posted as-is from original model source.
- Not all features and/or results may be available in CoreML format.
- This model was converted with `vae-encoder` for i2i.
- This model is fp16.
- This model does not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).
- This model does not include a safety checker (for NSFW content)
# ez-v10
Source(s): [CivitAI](https://civitai.com/models/20143/ez)
Trained and Mixed model for photorealism.
Recommended sampler: UniPC, DPM++ 2M Karras
Low CFG scale is recommended: 2 - 5
Recommended VAE: vae-ft-mse-840000-ema-pruned
Used Models: SD 1.5 (trained), Anything 3.0 (merged->trained), Anything 4.5 (merged), and some other trained models were merged
