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https://github.com/vladmandic/automatic
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update readme
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@@ -35,10 +35,6 @@ Simplified start script: `automatic.sh`
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Python 3.10.6
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Torch: 2.0.0.dev20230118+cu118 CUDA: 11.8 cuDNN: 8700 GPU: NVIDIA GeForce RTX 3060 Arch: (8, 6)
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> ./automatic.sh install
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- Install requirements and exit
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> ./automatic.sh public
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- Start with listen on public IP with authentication enabled
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@@ -48,6 +44,20 @@ Simplified start script: `automatic.sh`
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- Start with all optimizations disabled
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Use this for troubleshooting
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<br>
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## Install
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1. Install `PyTorch` first
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2. Clone and initialize repository
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> git clone --depth 1 https://github.com/vladmandic/automatic
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> git submodule update --init --recursive
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3. Install dependencies
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> ./automatic.sh install
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<br>
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## Differences
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+2
-2
@@ -60,7 +60,7 @@
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"training_enable_tensorboard": false,
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"training_tensorboard_save_images": false,
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"training_tensorboard_flush_every": 120,
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"sd_model_checkpoint": "zeipher-f222.ckpt [9e2c6ceff3]",
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"sd_model_checkpoint": "sd-v15-runwayml.ckpt [cc6cb27103]",
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"sd_checkpoint_cache": 0,
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"sd_vae_checkpoint_cache": 0,
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"sd_vae": "vae-ft-mse-840000-ema-pruned.ckpt",
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@@ -144,7 +144,7 @@
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"sdweb-merge-board",
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"ScuNET"
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],
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"sd_checkpoint_hash": "cc6cb27103417325ff94f52b7a5d2dde45a7515b25c255d8e396c90014281516",
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"sd_checkpoint_hash": "9e2c6ceff3f6d6f65c6fb0e10d8e69d772871813be647fd2ea5d06e00db33c1f",
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"ldsr_steps": 100,
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"ldsr_cached": false,
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"SWIN_tile": 192,
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