Latent Upscaling
Video Lecture
| Section | Video Links |
|---|---|
| Latent Upscaling | ![]() |
Description
We can get much better results by upscaling a KSampler output latent and running it through another KSampler again.
This technique is an alternative to using ESRGAN, but where it stands out the most is bringing out the best in SD1.5 based models.
Start Workflow

Example Prompts
a person standing in a lush rainforest, holding a placard with the text "Hello World!" written on it.a breathtaking alpine valley at sunrisemodern architectural buildings with clean lines, beautiful gardens with water features, situated on the edge of a cliff, overlooking the fjordsA highly fashionable woman standing in front of a white wall, wearing nice shoes, looking happy, relaxed and optimistic.
Optional SD1.5 Checkpoints
In the video I demonstrate using various SD1.5 based models from earlier lessons, plus this extra Realistic Vision checkpoint.
Download it and place it into your ComfyUI/models/checkpoints folder.
realisticVisionV60B1_v51HyperVAE.safetensors
Final Workflow
The image below was created using SD1.5 based models with latent upscaling.
Drag this image into your ComfyUI to see the workflow.


































