Practical Application

Build a text-to-image graph from an empty canvas:

1. Double-click the canvas, search for Load Checkpoint, and select the required checkpoint.
2. Drag from the CLIP output and create a CLIP Text Encode node.
3. Create a second CLIP Text Encode node for the negative prompt.
4. Connect both text encoders to the checkpoint's CLIP output.
5. Rename the nodes Positive Prompt and Negative Prompt.
6. Add a KSampler.
7. Connect the checkpoint's Model output to the KSampler's Model input.
8. Connect the positive text encoder to Positive and the negative text encoder to Negative.
9. Add an Empty Latent Image and connect it to Latent Image.
10. Add a VAE Decode node and connect the KSampler's latent output to Samples.
11. Connect the checkpoint's VAE output to the VAE Decode node.
12. Add Preview Image and connect the decoded image.
13. Enter a positive prompt such as “medieval warrior, realistic, 8K, masterpiece, ultra detailed.”
14. Enter negative terms such as “painting, cartoon, anime, watermark.”
15. Queue the prompt and watch the active nodes highlight as execution moves through the graph.

A node can be cloned by right-clicking it and selecting Clone. Standard copy and paste also creates a duplicate. Ctrl+Shift+V is more useful when the copy should retain the same incoming connections as the original node. This is especially efficient when duplicating prompt encoders or later stages that share the same model, VAE, or conditioning inputs.