{"id":23049861,"url":"https://github.com/mohammadshahidbeigh/google-colab-notebooks","last_synced_at":"2026-04-11T02:02:49.959Z","repository":{"id":268283388,"uuid":"903862677","full_name":"mohammadshahidbeigh/google-colab-notebooks","owner":"mohammadshahidbeigh","description":"This repository includes a variety of notebooks designed for tasks ranging from generative ai text models to image generation and model training to data analysis and visualization.","archived":false,"fork":false,"pushed_at":"2025-01-04T15:25:37.000Z","size":1299,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-08T17:28:33.164Z","etag":null,"topics":["ai-agents","awsbedrock","crewai","diffusion-models","fine-tuning","flux","generative-ai","huggingface-models","langchain-python","llama-index","llama3","llmops","llms","open-source","python","pytorch","retrieval-augmented-generation","stable-diffusion","tensorflow","vectordb"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mohammadshahidbeigh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-15T18:42:23.000Z","updated_at":"2025-01-04T15:25:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"caf51fa2-8a76-44a7-9ba1-54c6ce465e08","html_url":"https://github.com/mohammadshahidbeigh/google-colab-notebooks","commit_stats":null,"previous_names":["mohammadshahidbeigh/google-colab-notebook"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohammadshahidbeigh%2Fgoogle-colab-notebooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohammadshahidbeigh%2Fgoogle-colab-notebooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohammadshahidbeigh%2Fgoogle-colab-notebooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mohammadshahidbeigh%2Fgoogle-colab-notebooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mohammadshahidbeigh","download_url":"https://codeload.github.com/mohammadshahidbeigh/google-colab-notebooks/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246930063,"owners_count":20856536,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-agents","awsbedrock","crewai","diffusion-models","fine-tuning","flux","generative-ai","huggingface-models","langchain-python","llama-index","llama3","llmops","llms","open-source","python","pytorch","retrieval-augmented-generation","stable-diffusion","tensorflow","vectordb"],"created_at":"2024-12-15T23:17:34.210Z","updated_at":"2026-04-11T02:02:49.850Z","avatar_url":"https://github.com/mohammadshahidbeigh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Google Colab Notebook Repository\n\nWelcome to my collection of Google Colab notebooks! This repository includes a variety of notebooks designed for tasks ranging from generative ai text models to image generation and model training to data analysis and visualization.\n\n---\n\n## 📂 **Included Notebooks**\n\n### 1. **Image Generation**\n- **Stable Diffusion 3.5 Models**\n  - **3.5 Large:** Superior image quality and prompt adherence for high-resolution image generation.\n  - **3.5 Medium:** Optimized for consumer GPUs, striking a balance between quality and hardware accessibility.\n  - **3.5 Large Turbo:** Fast inference with competitive quality for iterative tasks like background replacement.\n\n### 2. **Model Training \u0026 Quantization**\n- **Quantization-Friendly Models:** Explore techniques for compressing and deploying models on low-resource hardware.\n- **Fine-Tuning with LoRA:** Use low-rank adaptation for training custom models efficiently.\n\n### 3. **Background Replacement**\n- Replace and refine image backgrounds with high accuracy using **Stable Diffusion 3.5 Large Turbo**.\n\n---\n\n## 🚀 **Getting Started**\n1. **Open the Notebooks:**\n   - Click on the desired notebook link to open it in Google Colab.\n   - Ensure you have a Google account to access and run the notebooks.\n\n2. **Install Dependencies:**\n   Each notebook includes a setup section to install necessary libraries. Simply run the first few cells to install the required packages.\n\n3. **Upload/Link Data (if needed):**\n   - For some notebooks, you may need to upload data or link to your Google Drive. Look for instructions within the notebook.\n\n---\n\n## ⚙️ **How to Use**\n1. **Select the Task:**\n   - Image generation, training, quantization, or background replacement.\n2. **Configure Parameters:**\n   - Adjust model settings, prompt inputs, or fine-tuning options as needed in the notebook.\n3. **Run Cells:**\n   - Execute the cells step-by-step or run all cells to see the outputs.\n\n---\n\n## 📋 **Features**\n- **Customizable Models:** Modify prompts, styles, and fine-tune settings.\n- **Efficient Workflows:** Optimized for consumer hardware with lightweight models.\n- **Wide Range of Applications:** Image editing, custom model training, and deployment.\n\n---\n\n## 📚 **Notebook Links**\n| Notebook Title                        | Description                                     | Colab Link                      |\n|---------------------------------------|-------------------------------------------------|---------------------------------|\n| **Stable Diffusion 3.5 Large**        | High-quality image generation.                 | [Open in Colab](#)              |\n| **Stable Diffusion 3.5 Medium**       | Optimized for efficient, low-resource tasks.   | [Open in Colab](#)              |\n| **Background Replacement Notebook**   | Refine and replace image backgrounds easily.   | [Open in Colab](#)              |\n| **Model Quantization Notebook**       | Compress models for low-VRAM environments.     | [Open in Colab](#)              |\n\n---\n\n## 📝 **License**\nThis repository and its contents are provided under the MIT License. Refer to the [LICENSE](LICENSE) file for details.\n\n---\n\n## 🤝 **Contributing**\nFeel free to contribute by:\n- Reporting issues.\n- Submitting pull requests for improvements or new notebooks.\n\n---\n\n## 📧 **Contact**\nFor questions or suggestions, please reach out at **[your email/contact]**.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohammadshahidbeigh%2Fgoogle-colab-notebooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmohammadshahidbeigh%2Fgoogle-colab-notebooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmohammadshahidbeigh%2Fgoogle-colab-notebooks/lists"}