Train iterations were increased to 3000.










Now that I am in a position to create models like LoRAs myself, I am also taking up the aforementioned topic with respect to Glass Ball Photography again.
The first results are very promising. Since I can now create better Prompts, I can see what the result is with a good Prompt with and without LoRA.
v1.0 → 1000
v1.1 → 1500
v1.2 → 3000
The number of training iterations influences the result of the created image considerable.
With increasing weighting, images that resemble the training images are created faster and faster. The influence of the Prompt decreases with increasing the weight. The higher the version number, the faster a glass ball is reached with a given weighting, latest with a weight of 1.0 as value.
Try out and use the model which fits best to your needs.
glass sphere, <lora:GlassSphere:0.5>The expression or Trigger Words Glass Sphere triggers the model to create a glass sphere. Without the Trigger Words Glass Sphere there will be no result.
Train iterations were increased to 3000.
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