AI Video Generation with Quantized Models in Promptus

Discover how to create high-quality AI video content using quantized models through Promptus Studio Comfy (PSC), making advanced video generation accessible even with limited GPU memory.

This article will cover the process of text-to-video and image-to-video generation using the powerful Wan 2.1 framework.

🌟 Why Choose Promptus Studio Comfy for AI Video Generation

Promptus Studio Comfy (PSC) stands as one of the leading platforms that builds upon the open-source framework. Promptus is a browser-based, cloud-powered visual AI platform that provides:

• An accessible interface for workflows through CosyFlows (a no-code interface)
• Real-time collaboration
• Built-in access to advanced models like Gemini Flash, HiDream, and Hunyuan3D

It also integrates with Discord and offers workflow publishing, making it popular among both creative teams and solo creators who want to leverage the system's power without technical complexity.

⚡ Promptus Studio Comfy represents how many users prefer to interact with the platform today — combining the flexibility of the open-source ecosystem with intuitive, drag-and-drop workflows and advanced AI model access including Stable Diffusion, GPT-4o, and Gemini. It supports multi-modal generation across text, image, and video, and utilizes distributed GPU compute for faster rendering and high-resolution outputs.

🚀 Getting Started with Quantized Models

In my previous exploration, I used KiJai's wrapper for generating text-to-video and image-to-video content. Now, I'll demonstrate how to use quantized models to generate videos on graphics cards with less VRAM through Promptus Studio Comfy.

💡 I recommend upgrading to the latest version (currently using 0.3.26) to avoid potential errors.

🛠️ Setting Up Your Workflow in Promptus Studio Comfy

To begin working with these workflows in Promptus Studio Comfy, you can access the provided workflow links. Simply copy the link and open it in a new tab within your Promptus interface. You can either:

• Download the file directly
• Copy the entire workflow and paste it into your Promptus workspace

When you first load the workflow, you may notice that certain nodes are missing. Through the Promptus Node Manager, you can easily install the required components:

• The first missing node handles quantized models
• The second manages video output functionality

🔧 Essential Files for AI Video Generation

The workflow requires three critical files to function properly:

1. UMT 5 FP8 Text Encoder
   • Serves as the primary text processing component
   • FP8 version is optimized for GPUs with limited memory
   • Download and place in your /models/text_encoders/ folder
2. GGUF Model Collection
   • Supports both text-to-video and image-to-video
   • Available in resolutions (480p, 720p)
   • Comes in quantization levels Q3 to Q8
   • Higher Q = better quality but more memory usage
3. VAE (Variational Autoencoder)
   • Completes the setup
   • Ensure correct format and place in /models/VAE/ folder

🎞️ Text-to-Video Generation Process

Once your Promptus Studio Comfy setup is complete, you can begin generating videos.

For text-to-video creation, start with a descriptive prompt.
Example: “a dog in a basket, with a bicycle moving forward and the dog's ears flapping in the wind.”

🧷 Configure your generation parameters:

• Steps: 25–30
• CFG: 5–6
• Frame Rate: 16 FPS
• Total Frames: 81 (for 5 seconds)
• Resolution: Customize height and width as needed

⏱️ The generation process typically takes 45–50 minutes for a 5-second video, but the quality results are impressive considering the compact model size.

🖼️ Image-to-Video Workflow Setup

The image-to-video workflow in Promptus Studio Comfy requires additional components:

• Image-to-video GGUF model
• CLIP Vision model for image processing

Download the appropriate quantization level:

• Q3: Most memory efficient
• Q6: Higher quality

Place them in the /models/diffusion_models/ folder.
The CLIP Vision model goes in its dedicated folder within /models/.

🖼️ For best results:

• Crop your input image to match your desired video resolution before uploading
• Provide a detailed prompt describing motion
  • e.g., “miniature people working on a construction site.”

📈 Optimizing Performance and Quality

When working with quantized models in Promptus Studio Comfy, expect different performance characteristics:

• Q3 Models:
  • Fastest generation
  • Moderate quality
  • Lowest memory use
  • Ideal for rapid iteration
• Q6 Models:
  • Balanced quality and efficiency
  • Suitable for professional results
• Q8 Models:
  • Nearly full-precision quality
  • Requires more memory and time

Whether users are crafting branded visuals, animated stories, or concept art pipelines, Promptus Studio Comfy demonstrates how the modular framework can be made accessible to studios, agencies, and visual storytellers who need flexibility, speed, and quality at scale.

🎯 Advanced Tips for Better Results

• Monitor your system resources during generation.
  Promptus Studio Comfy’s GGUF implementation uses memory efficiently, but actual usage varies by hardware.
• Experiment with quantization levels:
  • Lower levels (Q3–Q6) may produce more stable results
  • Higher levels (Q8) can offer superior quality if your system allows

🔔 Recent developments include new "Fun" models for Wan 2.1, expanding creative possibilities within Promptus Studio Comfy.

Getting Started with Promptus 🌐

Ready to explore AI video generation yourself?

Sign up for Promptus and choose between:

• Promptus Web for browser-based access
• Promptus App for desktop functionality

Both platforms provide full access to these advanced video generation capabilities with a user-friendly interface that makes complex AI workflows accessible to creators at any skill level.

Promptus Studio Comfy transforms the technical complexity of AI video generation into an intuitive, collaborative experience that delivers professional results without requiring deep technical expertise.

With quantized models, even users with limited GPU resources can achieve stunning video output—making high-end AI creativity more accessible than ever.