Do I have to use JSON, or can I just type plain text?

Plain text works fine. If you do provide a JSON string, the JsonExtractString node can pull a specific field (e.g., "style") to help auto-assemble the prompt. Otherwise, set the style with the ComfySwitchNode.

Which model does this workflow use, and can I change it?

The generation happens inside the CustomCombo and the generator node (ID e46f5b18-9edb-4755-bec5-b38521684b4c). If your setup exposes a model selector in that combo, you can swap it. Otherwise, replace the combo/generator with your preferred text-to-image node configured for tattoo-friendly outputs.

My results look too photographic or colorful. How can I get cleaner tattoo linework?

Use a line-focused style in the ComfySwitchNode (e.g., blackwork or fine-line), and add prompt terms like "line art, high contrast, minimal shading, no gradients." Avoid watercolor or painterly styles for strict stencil-ready looks.

Where are images saved?

SaveImage writes to your ComfyUI output directory (by default, ComfyUI/output). You can adjust the filename or subfolder settings in the SaveImage node if needed.

Tattoo Generator - ComfyUI Workflow

This ComfyUI Tattoo Generator turns written ideas into clean tattoo concept images using a streamlined, prompt-first pipeline. You type your idea in a PrimitiveStringMultiline node, optionally provide a small JSON snippet, choose a style with a ComfySwitchNode, and the workflow assembles a polished prompt with StringConcatenate. A ResolutionSelector lets you pick a canvas size that suits patch-style, sleeve elements, or flash-sheet compositions. The core image is produced by the generation node identified as e46f5b18-9edb-4755-bec5-b38521684b4c, wrapped by a CustomCombo that encapsulates the underlying text-to-image model and default inference settings. You can preview instantly with PreviewAny and export final images via SaveImage.

Technically, the prompt flow is handled by string utilities and simple logic: JsonExtractString can pull a field (for example, a preferred style) from a JSON string if you supply one; ComfySwitchNode toggles between built-in tattoo aesthetics (e.g., blackwork, fine-line, geometric) and feeds that choice into StringConcatenate to form the final prompt. ResolutionSelector passes width/height to the generator, ensuring the model inside the CustomCombo receives consistent parameters. The result is a focused, tattoo-oriented text-to-image workflow that encourages clear subject descriptions and style discipline, ideal for iterating fast on client briefs or exploring variations before committing to a stencil.

API

Use this workflow from code

Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.

GET https://comfy.org/workflows/download/90d086fef9e3.json

Fetching workflow JSON…

Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.

# Install (beta)
pip install comfy-sdk        # Python
npm i @comfyorg/sdk          # TypeScript

# Run this workflow (Python)
from comfy_sdk import Comfy

client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
    output.to_file(output.name)

The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key

FAQ

Frequently Asked Questions

View all workflows