https://github.com/mohammadshahidbeigh/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.
https://github.com/mohammadshahidbeigh/google-colab-notebooks

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

Last synced: 6 months ago
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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.

• Host: GitHub
• URL: https://github.com/mohammadshahidbeigh/google-colab-notebooks
• Owner: mohammadshahidbeigh
• License: mit
• Created: 2024-12-15T18:42:23.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-01-04T15:25:37.000Z (9 months ago)
• Last Synced: 2025-02-08T17:28:33.164Z (8 months ago)
• 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
• Language: Jupyter Notebook
• Homepage:
• Size: 1.24 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Google Colab Notebook Repository

Welcome 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.

---

## 📂 **Included Notebooks**

### 1. **Image Generation**

- **Stable Diffusion 3.5 Models**

  - **3.5 Large:** Superior image quality and prompt adherence for high-resolution image generation.

  - **3.5 Medium:** Optimized for consumer GPUs, striking a balance between quality and hardware accessibility.

  - **3.5 Large Turbo:** Fast inference with competitive quality for iterative tasks like background replacement.

### 2. **Model Training & Quantization**

- **Quantization-Friendly Models:** Explore techniques for compressing and deploying models on low-resource hardware.

- **Fine-Tuning with LoRA:** Use low-rank adaptation for training custom models efficiently.

### 3. **Background Replacement**

- Replace and refine image backgrounds with high accuracy using **Stable Diffusion 3.5 Large Turbo**.

---

## 🚀 **Getting Started**

1. **Open the Notebooks:**

   - Click on the desired notebook link to open it in Google Colab.

   - Ensure you have a Google account to access and run the notebooks.

2. **Install Dependencies:**

   Each notebook includes a setup section to install necessary libraries. Simply run the first few cells to install the required packages.

3. **Upload/Link Data (if needed):**

   - For some notebooks, you may need to upload data or link to your Google Drive. Look for instructions within the notebook.

---

## ⚙️ **How to Use**

1. **Select the Task:**

   - Image generation, training, quantization, or background replacement.

2. **Configure Parameters:**

   - Adjust model settings, prompt inputs, or fine-tuning options as needed in the notebook.

3. **Run Cells:**

   - Execute the cells step-by-step or run all cells to see the outputs.

---

## 📋 **Features**

- **Customizable Models:** Modify prompts, styles, and fine-tune settings.

- **Efficient Workflows:** Optimized for consumer hardware with lightweight models.

- **Wide Range of Applications:** Image editing, custom model training, and deployment.

---

## 📚 **Notebook Links**

| Notebook Title                        | Description                                     | Colab Link                      |

|---------------------------------------|-------------------------------------------------|---------------------------------|

| **Stable Diffusion 3.5 Large**        | High-quality image generation.                 | [Open in Colab](#)              |

| **Stable Diffusion 3.5 Medium**       | Optimized for efficient, low-resource tasks.   | [Open in Colab](#)              |

| **Background Replacement Notebook**   | Refine and replace image backgrounds easily.   | [Open in Colab](#)              |

| **Model Quantization Notebook**       | Compress models for low-VRAM environments.     | [Open in Colab](#)              |

---

## 📝 **License**

This repository and its contents are provided under the MIT License. Refer to the [LICENSE](LICENSE) file for details.

---

## 🤝 **Contributing**

Feel free to contribute by:

- Reporting issues.

- Submitting pull requests for improvements or new notebooks.

---

## 📧 **Contact**

For questions or suggestions, please reach out at **[your email/contact]**.