Problem:
When using LoRAs, I have no idea what strength_model
and strength_clip
had on my output image.
Experiment:
Therefore, I selected my most commonly used LoRAs and did a simple test to see how strength_model
impacts image results. I didn't use strength_clip
as I discovered that it had little impact on achieving the desired results of the LoRA.
Attached is a simple workflow of my experiment.
I controlled for all variables except the LoRA strength_model
, which varied from
0.00
0.25
0.50
0.75
1.00
Results / Findings:
strength_model
refers to the weight added from the LoRA (training images)strength_clip
refers to the weight added from the clip (positive and negative prompts)
In general, most people will want to adjust the strength_model
to obtain their desired results when using LoRAs.
You only want to use strength_clip
when there is something specific in your prompt (keyword, trigger word) that you are looking for.