@@ -19,6 +19,16 @@ Rope is a personal project that I'm making available to the community as a thank
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* Create videos with current settings
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* Created videos add audio and compress file size
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+ ### Install: ###
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+ Note: It's only configured for CUDA (Nvidia)
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+ * Set up a local venv
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+ * Place GFPGANv1.4.onnx and inswapper_128.onnx in the root directory
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+ * If you're already set up for roop, you probably don't need to do the next steps:
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+ * Install CUDA Toolkit 11.8
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+ * Install dependencies:
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+ * pip uninstall onnxruntime onnxruntime-gpu
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+ * pip install onnxruntime-gpu==1.15.1
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+
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### GUI: ###
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![ Rope] ( https://github.com/Hillobar/Rope/assets/63615199/d4120e5d-6fd4-4c01-88ac-e236d0379832 )
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@@ -47,8 +57,8 @@ Rope is a personal project that I'm making available to the community as a thank
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* Toggle GFPGAN
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* Modify the boundaries and boundary blending (affects all faces)
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* Change # threads to match your GPU memory (24GB ~ 9 threads with GFPGAN on, more threads w/o GFPGAN)
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- * Start with the lowest you think will run and watch your GPU memory.
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- * Once you allocate memory by increasing # threads, you can't un-allocate it by reducing # threads. You will need to restart Rope.
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+ * Start with the lowest you think will run and watch your GPU memory.
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+ * Once you allocate memory by increasing # threads, you can't un-allocate it by reducing # threads. You will need to restart Rope.
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* Create Videos with the curent settings. Wait for the audio to be added and the final video to be re-encoded
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* Reduce Face matching if you see some of your assignments switching to other faces. (finicky)
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* In general, always stop the video before changing anything. Otherwise, it will likely bork.
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