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https://github.com/official-imvoiid/aihub

Want to use AI tools but lack a GPU? This Repo, RunPod & Google Colab are your solution!
https://github.com/official-imvoiid/aihub

ai aitools cloudcomputing deeplearning deeplearning-notebooks googlecolab machinelearning machinelearning-python nogpu techforall

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Want to use AI tools but lack a GPU? This Repo, RunPod & Google Colab are your solution!

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# Aihub ✨
(A Collection Of Ai-Tools Notebooks Made By Voiid)

**Aihub** is a collection of open-source AI tools and notebooks curated for both free (Google Colab) and paid (Runpod) GPU environments. All included tools are provided under respective open-source licenses, and this repository is licensed under **Apache-2.0**.

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## πŸ”Ή Colab GPU (Free Tier)

These notebooks are optimized for Google Colab's free GPU service. Use them for lightweight tasks, testing, or casual use.

**Available Tools:**

- **Automatic1111** – Stable Diffusion Web UI
- **ComfyUI** – Node-based workflow UI for image generation
- **Open_WebUI** – ChatGPT-like frontend for LLMs
- **RVC** – Real-time Voice Changer
- **TextGenUI** – LLM chatbot interface with model loading
- **FramePack** – Frame interpolation and video enhancement
- **Image Converter Pro** – Batch image format converter
- **ImageCaption** – AI-powered image caption generator

> All notebooks are pre-configured for one-click launch on Colab.

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## πŸ”Έ Runpod (Paid, Reliable, Cheap, Recommended)

For serious workloads, custom environments, or commercial-grade performance, Runpod is the better choice. These notebooks are tailored for deployment on Runpod containers.

**Available Tools:**

- **MusubiTuner (Hunyuan LoRA)** – Fine-tune TTS with Tencent’s LoRA models
- **Kohya** – Advanced LoRA training interface for Stable Diffusion
- **Automatic1111** – High-performance image generation
- **ImageCaption** – Caption generation at scale
- **RVC** – Voice cloning and conversion
- **FramePack** – Multi-GPU video enhancement pipeline

> All notebooks are plug-and-play for Runpod. Ensure correct template selection when deploying.

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## πŸ“„ License

This repository is licensed under the **Apache License 2.0**. See the [LICENSE](./LICENSE) file for details.

All third-party tools remain under their original licenses. This repo only provides deployment-ready notebooks and setup instructions.