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Upload folder using huggingface_hub

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  1. .gitignore +1 -0
  2. README.md +9 -3
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@@ -27,3 +27,4 @@ toConvert/*
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  !input/
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  toConvert/
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  comparisons/
 
 
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  !input/
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  toConvert/
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  comparisons/
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+ TRAINING_PIPELINE.md
README.md CHANGED
@@ -31,9 +31,13 @@ DeepDream-MLX brings the original psychedelic computer vision look to Apple Sili
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  ## Install
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  ```bash
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- python3 -m venv venv
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- source venv/bin/activate
 
 
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  pip install -r requirements.txt
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  ```
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@@ -58,7 +62,9 @@ python dream.py --input assets/demo_vgg19.jpg --model all
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  Default layers per model: VGG16 `relu4_3`, VGG19 `relu4_4`, ResNet50 `layer4_2`, AlexNet `relu5`, GoogLeNet `inception3b/4c/4d`. Override with `--layers layer1 layer2 ...` as needed.
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- ## Download Weights from Hugging Face
 
 
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  ```bash
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  pip install huggingface_hub
 
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  ## Install
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+ Bring your own env (conda/uv/venv/none) as you prefer:
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+
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  ```bash
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+ # using uv (optional)
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+ uv pip install -r requirements.txt
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+
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+ # or plain pip
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  pip install -r requirements.txt
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  ```
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  Default layers per model: VGG16 `relu4_3`, VGG19 `relu4_4`, ResNet50 `layer4_2`, AlexNet `relu5`, GoogLeNet `inception3b/4c/4d`. Override with `--layers layer1 layer2 ...` as needed.
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+ ## Weights (local + optional Hugging Face)
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+
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+ Core `.npz` weights live in this repo via LFS. If you want a fresh copy or a variant, optionally pull from Hugging Face:
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  ```bash
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  pip install huggingface_hub