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<h4 align="center"><i>Diffusion Engine</i></h4>

<h2><a href="https://github.com/Stability-AI/stablediffusion">Stable Diffusion</a></h2>
<small>Inference Code for SD1</small>
<details>
   <summary>Expand</summary>
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</details>

<h2><a href="https://github.com/Stability-AI/generative-models">Generative Models</a></h2>
<small>Inference Code for SDXL</small>
<details>
   <summary>Expand</summary>
   <pre id="sdxl-license-content"></pre>
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<h4 align="center"><i>Misc. Components</i></h4>

<h2><a href="https://github.com/comfyanonymous/ComfyUI">ComfyUI</a></h2>
<small>Some structural optimization codes were taken from this repository</small>
<details>
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<h2><a href="https://github.com/chaiNNer-org/chaiNNer">chaiNNer</a></h2>
<small>Some codes are borrowed and reworked</small>
<details>
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   <pre id="chain-license-content"></pre>
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<h2><a href="https://github.com/huggingface/transformers">transformers</a></h2>
<small>Some codes are borrowed and reworked</small>
<details>
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   <pre id="tfm-license-content"></pre>
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<h2><a href="https://github.com/huggingface/diffusers">diffusers</a></h2>
<small>Some codes are borrowed and reworked</small>
<details>
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<h2><a href="https://github.com/invoke-ai/InvokeAI">InvokeAI</a></h2>
<small>Some code for compatibility with OSX is taken from this repository</small>
<details>
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<h2><a href="https://github.com/AminRezaei0x443/memory-efficient-attention">Memory Efficient Attention</a></h2>
<small>
   The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package
   that Alex Birch optimized for 3D tensors
</small>
<details>
   <summary>Expand</summary>
   <pre id="mem-license-content"></pre>
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<h2><a href="https://github.com/explosion/curated-transformers">Curated transformers</a></h2>
<small>
   The MPS workaround for nn.Linear on macOS 13.2.X is based on the MPS workaround for nn.Linear created by danieldk for
   Curated Transformers
</small>
<details>
   <summary>Expand</summary>
   <pre id="ctfm-license-content"></pre>
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<h2><a href="https://github.com/madebyollin/taesd">TAESD</a></h2>
<small>Tiny AutoEncoder for efficient live previews</small>
<details>
   <summary>Expand</summary>
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<h4 align="center"><i>Legacy</i></h4>

<h2><a href="https://github.com/hafiidz/latent-diffusion">LDSR</a></h2>
<small>Some codes added by contributors may be copied from this repository</small>
<details>
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<h2><a href="https://github.com/pharmapsychotic/clip-interrogator">CLIP Interrogator</a></h2>
<small>Some codes are borrowed and reworked</small>
<details>
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