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    "info": {
        "author": "Thinh Vu",
        "author_email": "mrthinh@live.com",
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        "description": "# I. INTRODUCTION\n`ai_artist` made generating images easy using the Stable Diffusion AI model.\n\n<div id=\"badges\" align=\"center\">\n<img src=\"https://img.shields.io/pypi/pyversions/ai_artist?logoColor=brown&style=plastic\" alt= \"Version\"/>\n<img src=\"https://img.shields.io/pypi/dm/ai_artist\" alt=\"Download Badge\"/>\n<img src=\"https://img.shields.io/github/last-commit/thinh-vu/ai_artist\" alt=\"Commit Badge\"/>\n<img src=\"https://img.shields.io/github/license/thinh-vu/ai_artist?color=red\" alt=\"License Badge\"/>\n</div>\n\n# II. HOW TO USE THIS PROJECT\n\n## 2.1. Install this package\n\n- Using pip to install the pre-built package on Pypip `pip install ai_artist`\n- If you want to use the latest **ai_artist** version instead of the stable one, you can install it from the source with the following command:\n`pip install git+https://github.com/thinh-vu/ai_artist.git@main`\n\n_(*) You might need to insert a `!` before your command when running terminal commands on Google Colab._\n\n## 2.2. Set up your project\n\n1. Import the whole package to your project: `from ai_artist import *`\n2. Install dependencies: `!pip install transformers`\n3. Set up the environment: `initialize()`\n4. Save Huggingface login info to use the pre-trained model: `login('YOUR_HUGGINGFACE_KEY')`\n5. Set up the pipeline: `pipe = pipegen()`\n\n## 2.3. Start generating images\n6. Provide your image description to the prompt: `image_gen(\"YOUR_IMAGE_DESCRIPTION\", pipe)`\n\n# III. RERERENCES\n## 3.1. Get HuggingFace API key\n\n**Generate a token key** with **read** permission. Read the doc [here](https://huggingface.co/docs/hub/security-tokens)\n\n**About Huggingface**\n\n> [Huggingface](https://huggingface.co/about) is a community and data science platform that provides:\n> - Tools that enable users to build, train and deploy ML models based on open source (OS) code and technologies.\n> - A place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open source projects.\n\n## 3.2. Google Colab and GPU runtime are highly recommended\nGo to the Google Colab menu: Select `Runtime` > `Change runtime type` and make sure that `GPU` has been chosen. You can run this AI model way faster with GPU on Google Colab than the normal CPU or your personal computer.\n\n![gpu_setting](https://raw.githubusercontent.com/thinh-vu/ur_audio_sub/main/src/Google%20Colab%20runtime%20GPU.png)\n\n### Stable Diffusion & StabilityAI\n- Stable Diffusion on Github: [here](https://github.com/CompVis/stable-diffusion)\n\n- Stable Diffusion prompt guide and examples [here](https://strikingloo.github.io/stable-diffusion-vs-dalle-2)\n\n# IV. \ud83d\ude4b\u200d\u2642\ufe0f CONTACT INFORMATION\n\n<div id=\"badges\" align=\"center\">\n  <a href=\"https://www.linkedin.com/in/thinh-vu\">\n    <img src=\"https://img.shields.io/badge/LinkedIn-blue?style=for-the-badge&logo=linkedin&logoColor=white\" alt=\"LinkedIn Badge\"/>\n  </a>\n  <a href=\"https://www.messenger.com/t/mr.thinh.ueh\">\n    <img src=\"https://img.shields.io/badge/Messenger-00B2FF?style=for-the-badge&logo=messenger&logoColor=white\" alt=\"Messenger Badge\"/>\n  <a href=\"https://www.youtube.com/channel/UCYgG-bmk92OhYsP20TS0MbQ\">\n    <img src=\"https://img.shields.io/badge/YouTube-red?style=for-the-badge&logo=youtube&logoColor=white\" alt=\"Youtube Badge\"/>\n  </a>\n  </a>\n    <a href=\"https://github.com/thinh-vu\">\n    <img src=\"https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white\" alt=\"Github Badge\"/>\n  </a>\n</div>\n\n---\n\nIf you want to support my open-source projects, you can \"buy me a coffee\" via [Patreon](https://patreon.com/thinhvu?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=creatorshare_creator) or Momo e-wallet (VN). Your support will help to maintain my blog hosting fee & to develop high-quality content.\n\n<details>\n<summary> Momo QR </summary>\n\n![momo-qr](https://github.com/thinh-vu/vnstock/blob/main/src/momo-qr-thinhvu.jpeg?raw=true)\n\n</details>\n",
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