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[LoRA] TigerstripeAI

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simonlive LV9
正文
发布时间:2024-08-11
模型类型
模型类型: LoRA
基础模型: SD 1.5
最新版本: v1.0
触发词: TigerstripeAI
下载链接: https://pan.baidu.com/s/1rDCX6oaeaDIIhPiwMM89BA?pwd=osxv
提取码: osxv
源链接: https://civitai.com/models/62612?modelVersionId=67176
模型介绍:
This is my very first LoRA attempt. I got up the nerve and tried my hand at making one thanks to the wonderful Konyconi-LoRA tutorial. If you haven't already seen their LoRAs, you owe it to yourself to check them out, they're fantastic and I always look forward to their next release. I also used the excellent guide and training Colab from holostrawberry.

About : My LoRA "Tigerstripe" will do just that, add tiger stripes to various objects in the image reasonably well. It excels with cars and trains and buildings but even then I find I might have to add the word "painted" or "colored" sucn as "TigerstripeAI painted dirigible" to get it to work well. can be a bit cantankerous when it comes to certain objects such as rifles or toilets or just about any object where SD expects to see a human holding it or on it. It will put one there (most often a human with tiger stripes and a tiger's head) most of the time unless you use the negative prompt to block it out. Sometimes a tiger tail might appear. I am not sure if this is SD or my failure somewhere in the settings during training - there were no images in the training set with tiger heads or tails, but I only have a thin grasp on what I am doing so it's likely me. If anyone has any ideas on what I did wrong, let me know. Trained using 100 images for 4 repeats, 20 epochs, and 2 batches.

It works best in most cases with a strength between 0.6 and 0.9

~~~~~~~~~~~~~~~~~~~~~~~o(* ̄︶ ̄*)o~~~~~~~~~~~~~~~~~~~~~~~

示例提示词和参数:
Prompt: <lora:TigerstripeAI-15:0.8>TigerstripeAI coffee machine
Negative prompt: EasyNegative, sepia,
Steps: 45, CFG scale: 7, Sampler: DPM++ 2M Karras, Seed: 1778609929, ENSD: 31337, Size: 512x512, Model hash: 4199bcdd14, Hires steps: 15, Hires upscale: 2, Hires upscaler: R-ESRGAN 4x+, Denoising strength: 0.45, Clip skip: 2

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