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Update README to reflect RealESRGAN support
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README.md
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README.md
@ -8,6 +8,7 @@ Features:
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* Loopback (NEW) ➿: Automatically feed the last generated sample back into img2img
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* Loopback (NEW) ➿: Automatically feed the last generated sample back into img2img
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* Prompt Weighting (NEW) 🏋️: Adjust the strength of different terms in your prompt
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* Prompt Weighting (NEW) 🏋️: Adjust the strength of different terms in your prompt
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* GFPGAN Face Correction 🔥: Automatically correct distorted faces with a built-in GFPGAN option, fixes them in less than half a second
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* GFPGAN Face Correction 🔥: Automatically correct distorted faces with a built-in GFPGAN option, fixes them in less than half a second
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* RealESRGAN Upscaling 🔥: Boos the resolution of images with a built-in RealESRGAN option
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* More k_diffusion samplers 🔥🔥 : Far greater quality outputs than the default sampler, less distortion and more accurate
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* More k_diffusion samplers 🔥🔥 : Far greater quality outputs than the default sampler, less distortion and more accurate
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* CFG: Classifier free guidance scale, a feature for fine-tuning your output
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* CFG: Classifier free guidance scale, a feature for fine-tuning your output
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* Memory Monitoring 🔥: Shows Vram usage and generation time after outputting.
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* Memory Monitoring 🔥: Shows Vram usage and generation time after outputting.
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@ -34,6 +35,15 @@ from the GFPGAN's repository until `inference_gfpgan.py` script works.
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If the GFPGAN directory does not exist, you will not get the option to use GFPGAN in the UI. If it does exist, you will either be able
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If the GFPGAN directory does not exist, you will not get the option to use GFPGAN in the UI. If it does exist, you will either be able
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to use it, or there will be a message in console with an error related to GFPGAN.
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to use it, or there will be a message in console with an error related to GFPGAN.
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### RealESRGAN
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If you want to use RealESRGAN to upscale generated images, you need to install it separately.
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Follow instructions from https://github.com/xinntao/Real-ESRGAN, but when cloning it, do so into Stable Diffusion main directory, `/sd`.
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After that download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
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Put them into the `/sd/RealESRGAN/experiments/pretrained_models` directory. If you're getting troubles with RealESRGAN support, follow instructions from the RealESRGAN's repository until `inference_realesrgan.py` script works.
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If the RealESRGAN directory does not exist, you will not get the option to use RealESRGAN in the UI. If it does exist, you will be either able
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to use it, or there will be a message in console with an error related to RealESRGAN.
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### Web UI
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### Web UI
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When launching, you may get a very long warning message related to some weights not being used. You may freely ignore it.
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When launching, you may get a very long warning message related to some weights not being used. You may freely ignore it.
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@ -55,6 +65,12 @@ also a separate tab that just allows you to use GFPGAN on any picture, with a sl
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![](images/GFPGAN.png)
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![](images/GFPGAN.png)
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### RealESRGAN
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Lets you double the resolution of generated images. There is a checkbox in every tab to use RealESRGAN, and you can choose between the regular upscaler and the anime version.
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There is also a separate tab for using RealESRGAN on any picture.
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![](images/RealESRGAN.png)
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### Sampling method selection
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### Sampling method selection
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Pick out of three sampling methods for txt2img: DDIM, PLMS, k-diffusion:
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Pick out of three sampling methods for txt2img: DDIM, PLMS, k-diffusion:
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