Retrained to be compatible with SDXL

Bowser

Training data contains web images only.

Bowserxl_v2.0.safetensors

v2.0 (prev. nsfw trimmed)

v2.1 (prev. rework nsfw)

v1.1

v1.0

v1.0 - 10 epochs ver.

My first Bowser model, based on SD 1.5Some information:<ol><li>Only need to use Bowser as a trigger word, easy to call</li><li>Excellent restoration effect, while not overfitting the style, so when using different base models, the style follows the base model, while the character features remain unchanged</li><li>Can use eyes_closed, arms_akimbo, hands_open, clenched_fists, running, jumping, breathing_fire, crawling and other prompts to control Bowser’s actions</li><li>Can use back_view, left_view, front_left_view, top_view and other words to control the perspective</li><li>Can add SSBU to use the style of Super Smash Bros. Ultimate</li></ol>In short, this model has excellent results in terms of ease of use, generalization and restoration.This time I took 76 pictures from my own Nintendo Switch’s Mario Party and 16 pictures from Super Smash Bros. Ultimate, for a total of 92 pictures. After manually cropping and replacing them with white backgrounds, I manually labeled tags and made a training set. Trained for 30 epochs with a repetition of 6.Novelai_final and Protogen v5.3 are used to generate example images.The other non-Bowser images are used to illustrate that the model does not overfit and will not contaminate other prompts.

移除了我之前自己用马力欧派对准备的数据集，只使用了网络上找到的图片作为数据集

Files with SHA256: 63501d4ebf26d3249598ee50de1c79457fd8d04a0d9550fa0d5adf4875b232ca