BlackSkye View Providers

Introduction

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Conclusion

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Set Up Stable Diffusion on RunPod Dashboard Guide

Complete Guide to Setting Up Stable Diffusion Using RunPod Dashboard
Aisha
June 6, 2025
5 min read
RunPod dashboard interface showing GPU deployment options and Stable Diffusion template selection

This guide walks you through setting up Stable Diffusion using RunPod, an online GPU rental platform ideal for users without local high-end hardware. RunPod offers affordable access to powerful GPUs through a user-friendly dashboard.

🚀 Getting Started with RunPod

  1. Visit runpod.io and click Login.
  2. Check your account balance in the top-right corner of the dashboard.
  3. Choose between:
    • Secure Cloud: Premium, guaranteed uptime (higher price)
    • Community Cloud: Budget-friendly, same GPUs (ideal for personal use)

For this tutorial, choose Community Cloud for lower pricing.

🧩 Selecting Your Template

Navigate to the Templates section and choose:

RunPod Stable Diffusion → Click Deploy

✅ This template comes pre-configured with all Stable Diffusion dependencies.

🎮 Choosing and Deploying a GPU

Select the RTX 3090, which costs around $0.44/hour — a great balance of performance and affordability.

Customize Deployment:

  • Container Disk: 50 GB
  • Volume Disk: 300–500 GB (based on your needs)

💡 Storage Pricing:

  • Running pods: $0.10/GB/month
  • Stopped pods: $0.20/GB/month

Click Set OverridesContinue to launch your pod.

🖥️ Accessing Your RunPod Instance

Once your pod appears in the My Pods tab:

  1. Wait for GPU & CPU usage to reach 0% (prevents 502 errors)
  2. Click Connect to access available ports:
    • Port 3000: Stable Diffusion Web UI
    • Port 8888: Jupyter Notebook

📓 Using Jupyter Notebook (Port 8888)


Port 8888 opens the Jupyter environment, allowing file and terminal access.


📁 Save all files inside:

/workspace/stable-diffusion-webui


Use this space to install models, manage assets, or run custom scripts.

🎨 Using Stable Diffusion Web UI (Port 3000)

The Web UI interface opens with a default sd315 checkpoint pre-installed.


🖼️ Begin generating images instantly

🗂️ All results save automatically in the outputs folder

📥 Installing Additional Models

Use Port 8888 (Jupyter) to download new models from platforms like Civitai:

  1. Navigate to:

models/stable-diffusion

  1. Open the terminal in Jupyter
  2. Run:

wget [model download link]

  1. Rename the file (must end in .safetensors)
  2. Refresh the Web UI to access your new model

🗃️ Managing Files & Outputs

Generated content is neatly organized:

  • ✏️ Text-to-imagetxt2img folder
  • 🖼️ Image-to-imageimg2img folder

Browse via:

  • Web UI preview
  • Jupyter file browser

✅ Conclusion


RunPod makes it simple to deploy Stable Diffusion on powerful GPUs — no technical expertise required. From deployment to image generation, the dashboard is intuitive, fast, and affordable.

🌐 BlackSkye and Decentralized GPU Access


Platforms like BlackSkye are redefining GPU access:

  • 🔗 Peer-to-peer GPU marketplace
  • 💰 Enables GPU owners to monetize idle resources
  • 🌍 Expands AI compute access to users globally

As AI usage grows, platforms like RunPod and BlackSkye are democratizing high-performance computing for creators, researchers, and developers worldwide.