THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!.
In this case, you need to download both gray_fgo.pt
and
gray_fgo.safetensors
, then use gray_fgo.pt
as texture inversion embedding, and use
gray_fgo.safetensors
as LoRA at the same time.
このモデルには2つのファイルがあります。一緒に使う必要があります!!!。
この場合、gray_fgo.pt
とgray_fgo.safetensors
の両方をダウンロード
する必要があります。gray_fgo.pt
をテクスチャ反転埋め込みとして使用し、同時にgray_fgo.safetensors
をLoRAとして使用してください。
这个模型有两个文件。你需要同时使用它们!!!。
在这种情况下,您需要下载gray_fgo.pt
和gray_fgo.safetensors
这两个文件,然后将gray_fgo.pt
用作纹理反转嵌入,
同时使用gray_fgo.safetensors
作为LoRA。
이 모델은 두 개의 파일이 있습니다. 두 파일을 함께 사용해야 합니다!!!.
이 경우에는 gray_fgo.pt
와 gray_fgo.safetensors
두 파일을 모두 다운로드하신 다음에 gray_fgo.pt
을 텍스처 반전 임베딩으로 사용하고,
동시에 gray_fgo.safetensors
을 LoRA로 사용하셔야 합니다.
(Translated with ChatGPT)
The trigger word is gray_fgo
, and the recommended tags are best quality, masterpiece, highres, solo, {gray_fgo:1.15}, bangs, grey_hair, green_eyes, short_hair, hair_between_eyes, cloak, cape, blush, closed_mouth
.
This model is trained with HCP-Diffusion. And the auto-training framework is maintained by DeepGHS Team.
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 adjusting the tags you are using.
Our model has been published on huggingface repository - CyberHarem/grayfgo, where models of all the steps are saved. Also, we published the training dataset on huggingface dataset - CyberHarem/grayfgo, which may be helpful to you.
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.
Our current training data is sourced from various image websites, and for a fully automated pipeline, it's challenging to accurately predict which official images a character possesses. Consequently, outfit generation relies on clustering based on labels from the training dataset in an attempt to achieve the best possible recreation. We will continue to address this issue and attempt optimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit recreation is also unlikely to match the level achieved by manually trained models.
In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters themselves and its relatively strong generalization capabilities, owing to its larger dataset. As such, this model is well-suited for tasks such as changing outfits, posing characters, and, of course, generating NSFW images of characters!😉".
For the following groups, it is not recommended to use this model and we express regret: