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How to Install and Use ComfyUI and SwarmUI on Massed Compute and RunPod Private Cloud GPU Services : https://youtu.be/bBxgtVD3ek4
https://youtu.be/bBxgtVD3ek4
If your GPU is not strong enough to run Generative AI models this is the tutorial that you need. Or you want to scale your generation speed by using multiple GPUs at the same time again this is excellent tutorial. In this tutorial I will show how to setup ComfyUI and SwarmUI literally 1-click on Massed Compute and RunPod and use your most liked best image and video generation models like Qwen, FLUX, Wan 2.2 and more.
🚀 Unleash the full power of AI image and video generation on the cloud! This comprehensive tutorial is your step-by-step guide to installing and configuring SwarmUI and ComfyUI on two of the most popular cloud GPU platforms: Massed Compute and RunPod.
Learn how to set up a powerful multi-GPU workflow to generate stunning, ultra-realistic images and videos at incredible speeds. We'll cover everything from deploying your first machine to downloading models, importing our exclusive presets, and running your first generations. Most importantly, we'll show you how to manage your instances to save money!
Whether you're new to cloud computing or looking to scale up your AI art projects, this guide has you covered.
💻 In this tutorial, you will learn how to:
Part 1: Massed Compute
Deploy a high-performance, multi-GPU machine.
Connect to your remote desktop using the ThinLinc client.
Install ComfyUI and the pre-installed SwarmUI from scratch.
Use the SwarmUI Model Downloader to get all the necessary models and bundles.
Configure SwarmUI backends to utilize multiple GPUs simultaneously for maximum speed.
Generate images and access your files from your local computer.
Properly terminate your machine to stop billing.
Part 2: RunPod
Deploy a multi-GPU pod using the correct PyTorch template.
Troubleshoot common connection issues.
Install both ComfyUI and SwarmUI in your RunPod workspace.
https://youtu.be/bBxgtVD3ek4
If your GPU is not strong enough to run Generative AI models this is the tutorial that you need. Or you want to scale your generation speed by using multiple GPUs at the same time again this is excellent tutorial. In this tutorial I will show how to setup ComfyUI and SwarmUI literally 1-click on Massed Compute and RunPod and use your most liked best image and video generation models like Qwen, FLUX, Wan 2.2 and more.
🚀 Unleash the full power of AI image and video generation on the cloud! This comprehensive tutorial is your step-by-step guide to installing and configuring SwarmUI and ComfyUI on two of the most popular cloud GPU platforms: Massed Compute and RunPod.
Learn how to set up a powerful multi-GPU workflow to generate stunning, ultra-realistic images and videos at incredible speeds. We'll cover everything from deploying your first machine to downloading models, importing our exclusive presets, and running your first generations. Most importantly, we'll show you how to manage your instances to save money!
Whether you're new to cloud computing or looking to scale up your AI art projects, this guide has you covered.
💻 In this tutorial, you will learn how to:
Part 1: Massed Compute
Deploy a high-performance, multi-GPU machine.
Connect to your remote desktop using the ThinLinc client.
Install ComfyUI and the pre-installed SwarmUI from scratch.
Use the SwarmUI Model Downloader to get all the necessary models and bundles.
Configure SwarmUI backends to utilize multiple GPUs simultaneously for maximum speed.
Generate images and access your files from your local computer.
Properly terminate your machine to stop billing.
Part 2: RunPod
Deploy a multi-GPU pod using the correct PyTorch template.
Troubleshoot common connection issues.
Install both ComfyUI and SwarmUI in your RunPod workspace.