Merge pull request #22 from mrbeandev/migrate-images-to-huggingface
Migrate reference images to Hugging Face, remove from git
@@ -25,6 +25,13 @@ Thumbs.db
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*.pkl
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!artifacts/codebook/*.pkl
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# Reference images (hosted on HF: https://huggingface.co/datasets/aoxo/reverse-synthid)
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gemini_black/
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gemini_white/
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gemini_random/
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gemini_black_nb_pro/
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gemini_white_nb_pro/
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# Secrets
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.env
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@@ -43,10 +43,10 @@ If you can generate these:
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### How to Contribute
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1. Generate a batch of black/white images by attaching a pure black/white image into Gemini and prompting it to "recreate this as it is"
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2. Place them in new folders:
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2. Upload them to our **Hugging Face dataset**: [aoxo/reverse-synthid](https://huggingface.co/datasets/aoxo/reverse-synthid)
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- `gemini_black_nb_pro/` (for black)
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- `gemini_white_nb_pro/` (for white)
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3. Open a Pull Request 🚀
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3. Open a Pull Request on the HF dataset repo
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These reference images are **critical** for:
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- Carrier frequency discovery
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@@ -55,6 +55,18 @@ These reference images are **critical** for:
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> Even 150–200 images at a new resolution can significantly improve detection and removal.
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### Download Reference Images
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Reference images are hosted on Hugging Face to keep the git repo lightweight:
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```bash
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pip install huggingface_hub
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python scripts/download_images.py # download all
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python scripts/download_images.py gemini_black # download specific folder
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```
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Dataset: [huggingface.co/datasets/aoxo/reverse-synthid](https://huggingface.co/datasets/aoxo/reverse-synthid)
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---
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### What Makes This Different
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@@ -258,9 +270,8 @@ reverse-SynthID/
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│ ├── deep_synthid_analysis.py # FFT / phase analysis scripts
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│ └── synthid_codebook_finder.py # Carrier frequency discovery
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│
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├── gemini_black/ # 100 pure-black Gemini images (1024x1024)
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├── gemini_white/ # 100 pure-white Gemini images (1024x1024)
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├── gemini_random/ # 88 watermarked content images (1536x2816)
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├── scripts/
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│ └── download_images.py # Download reference images from HF
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│
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├── artifacts/
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│ ├── spectral_codebook_v3.npz # Multi-res V3 codebook [1024x1024, 1536x2816]
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