The images in the dataset is auto-cropped from anime videos, more images for other waifus in the same anime can be found in BangumiBase/toarumajutsunoindex
Trigger word is oriana_thomson_toarumajutsunoindex.
Trigger word of anime style is is anime_style.
Pruned core tags for this waifu are blonde hair, long hair, drill hair, breasts, hair over one eye, blue eyes, large breasts. You can add them to the prompt when some features of waifu (e.g. hair color) are not stable.
For more details in LoRA, you can download it, and read the metadata with a1111's webui.
How to Use It?
After downloading the safetensors files for the specified step, you need to use them like common LoRA.
Recommended LoRA weight is 0.5-0.85.
Recommended trigger word weight is 0.7-1.1.
For example, if you want to use the model from step 8064, you need to download 8064/oriana_thomson_toarumajutsunoindex.safetensors as LoRA. By using this model, you can generate images for the desired characters.
Which Step Should I Use?
We selected 5 good steps for you to choose. The best one is step 8064.
2460 images (2.58 GiB) were generated for auto-testing.
Because the automation of LoRA training always annoys some people. So for the following groups, it is not recommended to use this model and we express regret:
Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.
Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.
Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.
Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.
Individuals who finds the generated image content offensive to their values.
All Steps
We uploaded the files in all steps. you can check the images, metrics and download them in the following links:
