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Generate Images using Qubrid AI’s ComfyUI Template

3 min read
Learn how to deploy the ComfyUI Template on Qubrid AI to generate stunning AI images - a step-by-step tutorial.

This tutorial walks you through how to configure the ComfyUI Template on a GPU Instance and use it to generate images using text-to-image models.

ComfyUI is a node-based graphical interface for creating AI image generation workflows. Instead of writing code, you visually connect components to build pipelines, making experimentation easy and intuitive.

This guide uses the Stable Diffusion v1.5 model - a reliable model from Stability AI - to keep things simple and easy to start.

💡 When using ComfyUI, always ensure your workflow matches the model type. Loading a workflow made for another model (e.g., SDXL or Flux Dev) can result in slow performance or poor image quality.

What You’ll Learn

  • Deploy a ComfyUI Template on GPU

  • Connect to the ComfyUI web interface

  • Create or load workflows

  • Install models

  • Generate your first image

Requirements

Before you begin:

  • A Qubrid AI account

  • Minimum $10 in wallet credits

  • Basic understanding of AI image generation concepts

Step 1: Deploy a ComfyUI Template

Deploy a GPU instance using the ComfyUI Template preloaded with the ComfyUI Manager plugin.

1. Select the ComfyUI Template

Select ComfyUI Template

2. Configure Your GPU Instance

GPU Selection

Choose A100 or higher-end GPUs for optimal performance.

GPU Selection

GPU Count

Choose 1 GPU (sufficient for SD-1.5) or more based on complexity.

GPU Count

Storage

Default disk space works for SD-1.5, but you can increase it.

Storage

SSH Keys

Optional - you can add SSH keys for access if needed.

SSH Keys

Auto Stop

Keep default or configure as per your usage pattern.

Auto Stop

Commitment Period

Select On-Demand for flexibility and pay-as-you-go.

Commitment Period

3. Launch the Instance

Click Launch to deploy. It may take 5–10 minutes to initialize and start the ComfyUI service.

Launch

Step 2: Open the ComfyUI Interface

Once the instance is running, click the redirect link to open ComfyUI in a new browser tab.

Example URL:
https://[DEPLOYED-IP]:8188

Step 3: Load or Create a Workflow

When ComfyUI is ready (port 8188 active), create a new workflow or use a ready-to-use template.

Download Workflow Template

Import the workflow:
Go to Workflow → Open → Select downloaded file.

Create the Workflow

Step 4: Install the Stable Diffusion v1.5 Model

When you load the workflow, you’ll see a Missing Models popup — this means model weights aren’t pre-installed.

Open the ComfyUI Manager

Click Manager → Model Manager from the top-right menu.

ComfyUI Manager

Install Model Checkpoint

Search for v1-5-pruned-emaonly.ckpt → Click Install.
You can also get it from Hugging Face.

Install the SD-1.5 model checkpoint

Refresh Interface

Press CTRL/CMD + R to reload ComfyUI after installing.

Configure the Checkpoint Node

Find the Load Checkpoint node in the workflow. Under ckpt_name, choose SD1.5/v1-5-pruned-emaonly.ckpt.

Configure the Checkpoint Node

Step 5: Generate an Image

Now your workflow is ready.

Customize Your Prompt

Find CLIP Text Encode (Prompt) → Enter a description:

Examples:

  • “A serene mountain landscape at sunset with a crystal-clear lake.”

  • “A futuristic cityscape with neon lights and flying cars.”

  • “A detailed portrait of a robot reading a book in a library.”

Customize your prompt

You can also add a Negative Prompt to avoid unwanted styles or artifacts.

Add a negative prompt

Start Generation

Click Run (or press Ctrl + Enter). The workflow executes sequentially:

  • Text encoding

  • Model loading

  • Image generation

  • Output rendering

Workflow Running

View Your Result

Once complete, the generated image appears in the output node.
Right-click → Save Image or View Full Resolution.

AI Generated Image

Conclusion

Congratulations! 🎉 You’ve successfully deployed and generated your first image using Qubrid AI’s ComfyUI Template. This template drastically simplifies the process - no complex setup, just deploy and create.

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