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Added i2i suffix info, modified naming scheme listing
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README.md
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- stable-diffusion
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βββ **Scroll down to see models**
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# Core ML Models Repository
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Thanks to Apple engineers, we can now run Stable Diffusion on Apple Silicon using Core ML
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However
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By organizing Core ML models in one place,
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## Conversion Flags
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The models were converted using the following flags
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`--convert-vae-decoder --convert-unet --convert-text-encoder --bundle-resources-for-swift-cli --attention-implementation {SPLIT_EINSUM or ORIGINAL}`
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## `split_einsum` vs `original` Models
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Depending on what compute unit you select, you will need to use the correct model version
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`original` version is only compatible with CPU & GPU option.
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Models
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For example: `stable-diffusion-2-1_original_512x768_ema-vae`.
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Repos are named with the original diffusers Hugging Face repo name prefixed by `coreml
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All capitalization from the original name are preserved.<br>
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For example: `coreml-stable-diffusion-2-1`.
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You can copy the beginning template for the README from one of the repo models that already exists here
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Then copy the original model's README as the body.
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```
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coreml-stable-diffusion-2-1
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- stable-diffusion
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---
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βββ **Scroll down to see models** βββ
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# Core ML Models Repository
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Thanks to Apple engineers, we can now run Stable Diffusion on Apple Silicon using Core ML!\
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However, it is hard to find compatible models, and converting models isn't the easiest thing to do.\
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By organizing Core ML models in one place, it will be easier to find them and for everyone to benefit.
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## Conversion Flags
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The models were converted using the following flags:\
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`--convert-vae-decoder --convert-vae-encoder --convert-unet --convert-text-encoder --bundle-resources-for-swift-cli --attention-implementation {SPLIT_EINSUM or ORIGINAL}`
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## `split_einsum` vs `original` Models
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Depending on what compute unit you select, you will need to use the correct model version:
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- `split_einsum` is compatible with all compute unit
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- `original` is only compatible with CPU & GPU
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# Contributing
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We encourage you to have at least one model converted (that this community doesn't already have) under your account that you would be able to contribute before joining. This will help us see those who can actually contribute back to the community.\
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We also encourage you to follow [models](#models-name) and [repo](#repo-name) naming schemes accordingly.
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**Attention**: Apple introduced Image-to-image capabilities in the [ml-stable-diffusion 0.2.0 release](https://github.com/apple/ml-stable-diffusion/releases/tag/0.2.0). All the models that do not have a VAE encoder (hence, not will be able to use Image-to-image), will have a `no-i2i` suffix right after the model name.\
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For example: `stable-diffusion-2-1_no-i2i_original`.\
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From now on, only models with a VAE encoder will be accepted.
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[Contact us on Discord if you are interested in helping out](https://discord.gg/x2kartzxGv).
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## Models Name
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Models have the following naming scheme:
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1. Original model name
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1. Model version (`split-einsum` or `original`)
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1. Model size (only if different from `512x512`)
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1. VAE name (only if different from the original VAE)
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Each label is separated by an underscore `_`, and all capitalization from the original name is preserved.\
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For example: `stable-diffusion-2-1_original_512x768_ema-vae`.
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## Repo Name
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Repos are named with the original diffusers Hugging Face / Civitai repo name prefixed by `coreml-`.\
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For example: `coreml-stable-diffusion-2-1`.
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## Repo README Contents
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You can copy the beginning template for the README from one of the repo models that already exists here.\
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Then copy the original model's README as the body.
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## Repo Directory Structure
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```
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coreml-stable-diffusion-2-1
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