caption cog notebook2
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"source": [
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"# Cog Captioning\n",
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"# Cog Captioning\n",
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"<a href=\"https://colab.research.google.com/github/nawnie/EveryDream2trainer/blob/main/CaptionCog.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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"This notebook is an implementation of [CogVLM](https://github.com/THUDM/CogVLM) for image captioning. \n",
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"This notebook is an implementation of [CogVLM](https://github.com/THUDM/CogVLM) for image captioning. \n",
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"\n",
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"\n",
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"This may require HIGH RAM shape on Google Colab, but T4 16gb is enough (even if slow).\n",
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"Read [Docs](doc/CAPTION_COG.md) for basic usage guide. \n",
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"\n",
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"\n",
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"1. Read [Docs](doc/CAPTION_COG.md) for basic usage guide. \n",
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"Open in [Google Colab](https://colab.research.google.com/github/victorchall/EveryDream2trainer/blob/main/CaptionCog.ipynb) **OR** use Runpod/Vast/Whatever using the EveryDream2trainer docker container/template and open this notebook.\n",
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"2. Open in [Google Colab](https://colab.research.google.com/github/victorchall/EveryDream2trainer/blob/main/CaptionCog.ipynb) **OR** Runpod/Vast using the EveryDream2trainer docker container/template and open this notebook.\n",
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"\n",
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"3. Run the cells below to install dependencies.\n",
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"### Requirements\n",
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"4. Place your images in \"input\" folder or change the data_root to point to a Gdrive folder."
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"Ampere or newer GPU with 16GB+ VRAM (ex. A100, 3090, 4060 Ti 16GB, etc). \n",
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"The 4bit quantization loading requires bfloat16 datatype support, which is not supported on older Turing GPUs like the T4 16GB, which rules out using free tier Google Colab.\n"
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"## Run captions.\n",
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"## Run captions.\n",
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"\n",
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"\n",
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"Place your images in \"input\" folder, or you can change the image_dir to point to a Gdrive folder.\n",
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"Place your images in \"input\" folder, or you can change the image_dir to point to a Gdrive folder.\n",
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"\n"
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"Note: Colab may complain that you are running out of disk space, but it should still work.\n"
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