A Deep Dive into Vector AI Workflows
For those of us crafting product illustrations and work with SVGs, I’ve discovered something game-changing in the AI space. While most AI tools output raster images, I’ve found a workflow that speaks directly to our vector-centric needs – perfect for those product illustrations and other graphics need in our daily work pipeline.
Enter ComfyUI – a powerful node-based AI tool that’s revolutionized how I create clean, professional vector graphics. No more wrestling with converting AI art into usable SVGs or struggling with auto-trace results. Through the Style Selector and Vector Converter nodes, we can now generate production-ready SVGs that meet our professional standards. Let me show you how this workflow can transform your illustration pipeline.
Understanding the Workflow
The workflow in the screenshot follows a structured approach:
- Input: Text Prompt & Styles
- AI Image Generation (SDXL Model & KSampler)
- Vector Processing (Raster to Vector Conversion)
- SVG Output & Refinements

Each section plays a critical role in ensuring that the final vectorized output is as clean and structured as possible. Let’s go deeper.
1. Text Prompt & Style Selector
The first step in this pipeline is defining the style and visual characteristics of the output. The Text Prompt node contains:
- Positive Prompt: This defines the core subject and style. In the screenshot, it includes something like “burger, flat illustration”, setting the foundation for the AI to generate a cartoon-style vector.
- Negative Prompt: Used to remove unwanted elements (e.g., “blurry, noisy, low quality, extra details“).

In the above section, the Conditioning (Concat) nodes are used to combine the text inputs from the text prompts and the style node. This operation is fundamental in scenarios where the conditioning information from two sources needs to be combined into a single, unified representation.
Style Selector Node
The Style Selector node is crucial for controlling the visual output, serving as a predefined style bank with options like Flat Illustration, 3D Render, Icon Style etc. It enables dynamic refinement of outputs without modifying the core prompt, letting you switch between different aesthetics seamlessly. By aligning generated images with specific styles, it significantly reduces post-processing work while maintaining consistency – essential when creating product illustrations or UI assets.

2. SDXL & KSampler
The workflow starts with Stable Diffusion XL (SDXL) using the Juggernaut checkpoint, where conditioning inputs optimize both positive and negative prompts for vector-ready output.
The KSampler node then fine-tunes the generation through steps, cfg scale, and denoising parameters – with lower denoising creating the crisp edges ideal for SVG conversion, before moving to vectorization.


3. Vector Processing
Here’s where things get fascinating. Converting raster AI-generated images to vectors is typically messy, but this workflow optimizes that process. The Vector Converter node group is the heart of the process, inside this section multiple nodes work together to refine the raster output and transform it into an SVG. The key node in the Vector Converter group are:
Rembg

This node removes the background, ensuring that the final vector contains only the subject (e.g., the burger illustration).
Raster to Vector

RTV is the core vectorization node. It takes the cleaned-up raster and converts it into paths.
Save SVG Node

The final step is saving the output in SVG format, making it usable in Figma, Illustrator, or any other vector-based tool.
Key Takeaways: Making AI Work for Vector Design
The beauty of ComfyUI lies in its modular approach, making it a powerful ally for SVG generation. Through the varoius node, we maintain consistent aesthetics across our outputs, the adding Raster to Vector node transforms AI-generated images into clean, editable vector paths. By fine-tuning parameters in both the KSampler and Vector Converter nodes, we’re able to generate high-quality vectors that need minimal cleanup – a real game-changer for our workflow.
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