
哈哈,我常常会训练一些,有趣的但是莫名其妙的lora模型,这次是在推特上看到许多人喜欢这样的脏鞋子,所以就训练了这个模型,
它是在 FLUX.DEV完整模型上使用FP16的精度训练的,同时将clip-L模型换成了CLIP-GmP-ViT-L-14 模型,然后使用了joy_caption_two进行自然语言训练集打标,
95张训练集中,包含尖头高跟鞋,平底鞋,系带凉鞋,厚底高跟鞋,等等常见的鞋类,但是有点遗憾,我忘了添加一些皮革长靴进去,
我没有设置触发词,你只需要直接了当的输入你想要的画面即可,
Haha, I often train some interesting but inexplicable lora models. This time I saw many people like such dirty shoes on Twitter, so I trained this model.
It is trained with FP16 accuracy on the FLUX.DEV full model, and the clip-L model is replaced with the CLIP-GmP-ViT-L-14 model, and then joy_caption_two is used for natural language training set labeling.
The 95 training sets include pointed high heels, flat shoes, lace-up sandals, thick-soled high heels, and other common footwear, but it’s a bit regrettable that I forgot to add some leather boots.
I didn’t set a trigger word, you just need to directly input the picture you want.
描述:
训练词语:
名称: Dirty Shoes.safetensors
大小 (KB): 598495
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success