
Training data here : https://huggingface.co/datasets/codeShare/lora-training-data/tree/main
LoRa trained with Sigma memes. 10 repeats x 30 epochs x 25 steps = 7500 steps
Try writing some text in your output images. It helps guide the output a lot!
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I could probably write a bit here on how to use the LoRa , but I think the easiest option is to just look at the training data in the link above and adapt your prompting style accordingly.
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Use JoyCaption : https://huggingface.co/spaces/fancyfeast/joy-caption-alpha-two
Saves a lot of time writing a long prompt. If you run out of Huggingface GPU resources feel free to run the joycaption notebook on Colab: https://colab.research.google.com/github/camenduru/joy-caption-jupyter/blob/main/joy_caption_jupyter.ipynb
描述:
训练词语: sigma male meme
名称: 1089895_training_data.zip
大小 (KB): 3739
类型: Training Data
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
名称: Sigma_meme_LoRa-000029.safetensors
大小 (KB): 16637
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success