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Readme.md

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@@ -133,7 +133,7 @@ If we enable Tiny decoder(TAESD) we can save some memory(2GB approx) for example
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- Update realtime UI
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- Add hypersd support
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- 1 step fast inference support for SDXL and SD1.5
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- Experimental support for single file Safetensors SD 1.5 models(Civitai models), simply add local model path to configs/stable-diffusion-models.txt file.
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- Experimental support for single file Safetensors SD 1.5/SDXL models(Civitai models), simply add local model path to configs/stable-diffusion-models.txt file.
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- Add REST API support
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- Add Aura SR (4x)/GigaGAN based upscaler support
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- Add Aura SR v2 upscaler support
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- AI PC NPU(Power efficient inference using OpenVINO) supports, text to image ,image to image and image variations support
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- Add [TAEF1 (Tiny autoencoder for FLUX.1) openvino](https://huggingface.co/rupeshs/taef1-openvino) support
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- Add Image to Image and Image Variations Qt GUI support,thanks [monstruosoft](https://github.com/monstruosoft)
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- Add single file SDXL safetensor file support,thanks [monstruosoft](https://github.com/monstruosoft)
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<a id="fast-inference-benchmarks"></a>
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## Models
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To use single file [Safetensors](https://huggingface.co/docs/safetensors/en/index) SD 1.5 models(Civit AI) follow this [YouTube tutorial](https://www.youtube.com/watch?v=zZTfUZnXJVk). Use LCM-LoRA Mode for single file safetensors.
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To use single file [Safetensors](https://huggingface.co/docs/safetensors/en/index) SD 1.5/SDXL models(Civit AI) follow this [YouTube tutorial](https://www.youtube.com/watch?v=zZTfUZnXJVk). Use LCM-LoRA Mode for single file safetensors.
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Fast SD supports LCM models and LCM-LoRA models.
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