The outcome
Learn the interaction loop using a small task with a clear outcome.
ComfyUI is a open-source node-based generative AI interface and inference engine. Building reproducible node graphs for image, video, audio, and other generative workflows with precise control over models and parameters. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.
Before you begin
Set the boundary before the tool starts.
Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.
AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.
Step by step
A workflow you can repeat.
- 01
Install ComfyUI from an official source and open a built-in Workflow Template using only Core nodes.
- 02
Download the required licensed model and trace the graph from inputs through sampling to saved output.
- 03
Run with a fixed seed and record model, sampler, scheduler, dimensions, steps, and conditioning.
- 04
Save the workflow and verify it reopens before adding any third-party custom nodes.
Working standard
What good use looks like.
- State the outcome before the background.
- Provide the real source material.
- Review the result before expanding the task.
Custom nodes are executable third-party code and model files can have license or security risks. Use trusted sources, isolated environments, snapshots, pinned versions, and non-sensitive inputs during evaluation.
Official references
Check the current product documentation.
Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.