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tam_lin_tristan/妖精騎士トリスタン/妖精骑士崔斯坦 (Fate/Grand Order)

134
885
77
9
Verified:
SafeTensor
Type
LoRA
Stats
529
77
Reviews
Published
Sep 8, 2023
Base Model
SD 1.5
Training
Steps: 4,800
Epochs: 11
Usage Tips
Clip Skip: 2
Trigger Words
tam_lin_tristan_fgo
long_hair, pointy_ears, bangs, pink_hair, grey_eyes, sidelocks, breasts, jewelry, earrings, smile, tiara
Hash
AutoV2
20309DAD1A

NOTE: ALL CHARACTERS IN THE IMAGES ARE ADULTS.

How to Use This Model

USE THEM SIMULTANEOUSLY. In this case, you need to download both tam_lin_tristan_fgo.pt and tam_lin_tristan_fgo.safetensors, then use tam_lin_tristan_fgo.pt as texture inversion embedding, and use tam_lin_tristan_fgo.safetensors as LoRA at the same time.

それらを同時に使用してください。この場合、tam_lin_tristan_fgo.pttam_lin_tristan_fgo.safetensorsの両方をダウンロード する必要があります。tam_lin_tristan_fgo.ptをテクスチャ反転埋め込みとして使用し、同時にtam_lin_tristan_fgo.safetensorsをLoRAとして使用してください。

同时使用它们。在这种情况下,您需要下载tam_lin_tristan_fgo.pttam_lin_tristan_fgo.safetensors这两个文件,然后将tam_lin_tristan_fgo.pt用作纹理反转嵌入, 同时使用tam_lin_tristan_fgo.safetensors作为LoRA。

(Translated with ChatGPT)

The trigger word is tam_lin_tristan_fgo, and the recommended tags are masterpiece, best quality, highres, solo, {tam_lin_tristan_fgo:1.10}, long_hair, pink_hair, pointy_ears, bangs, grey_eyes, breasts, sidelocks, jewelry, earrings, smile, tiara, large_breasts, medium_breasts.

How This Model Is Trained

This model is trained with HCP-Diffusion. And the auto-training framework is maintained by DeepGHS Team.

Why Some Preview Images Not Look Like Tam Lin Tristan Fgo

All the prompt texts used on the preview images (which can be viewed by clicking on the images) are automatically generated using clustering algorithms based on feature information extracted from the training dataset. The seed used during image generation is also randomly generated, and the images have not undergone any selection or modification. As a result, there is a possibility of the mentioned issues occurring.

In practice, based on our internal testing, most models that experience such issues perform better in actual usage than what is seen in the preview images. The only thing you may need to do is fine-tune the tags you use.

I Felt This Model May Be Overfitting or Underfitting, What Shall I Do

Our model has been published on huggingface repository - CyberHarem/tam_lin_tristan_fgo, where models of all the steps are saved. Also, we published the training dataset on huggingface dataset - CyberHarem/tam_lin_tristan_fgo, which may be helpful to you.

Why Not Just Using The Better-Selected Images

Our model's entire process, from data crawling, training, to generating preview images and publishing, is 100% automated without any human intervention. It's an interesting experiment conducted by our team, and for this purpose, we have developed a complete set of software infrastructure, including data filtering, automatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or suggestions as they are highly valuable to us.