LoRA (Low-Rank Adaptation)
Small 20 MB–300 MB patch weights trained to add a specific character, art style, or concept to a base checkpoint.
Updated Oct 17, 2026 · 1 min read
- Term
- LoRA (Low-Rank Adaptation)
- In Short
- Small 20 MB–300 MB patch weights trained to add a specific character, art style, or concept to a base checkpoint.
- Applies To
- ComfyUI SD 1.5, SDXL, Flux & Video
Definition: LoRA (Low-Rank Adaptation)
Small 20 MB–300 MB patch weights trained to add a specific character, art style, or concept to a base checkpoint.
Multiple Load LoRA nodes can be chained in series in ComfyUI, each with its own model and CLIP strength multipliers.
How to tune this in your ComfyUI workflow
Every parameter in ComfyUI is exposed directly on its node rather than hidden behind global settings tabs. You can inspect or override this behavior per pass in ComfyUI Studio.
New to node graphs? Grab the Windows installer at /download and open a built-in template from the workflow menu.
FAQs
What does LoRA (Low-Rank Adaptation) do in ComfyUI?
Small 20 MB–300 MB patch weights trained to add a specific character, art style, or concept to a base checkpoint. Multiple Load LoRA nodes can be chained in series in ComfyUI, each with its own model and CLIP strength multipliers.
Where do I adjust this setting on the canvas?
Check the corresponding loader or KSampler widget in your active workflow graph.
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