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This is LoHA & LoRA models for generating film style AI portrait photos. when used with majicMIX realistic、 MoonMIX or Chilloumix, it can generate realistic film style photos. At the same time, it is recommended to use the TEXTUAL INVERSION model: bad_pictures, negative_hand Negative Embedding. These two Negative Embedding models will not significantly affect the film texture.
2023.7.8 Introducing "The VELVIA 3.0"
本版本主体模型训练使用了Scale weight norms功能，以避免模型过拟合。在另一个备用版本中我也测试了“Prodigy” Optimizer, 这个Optimizer可以在一半的训练总步数下提供与AdamW8bit相当的拟合程度，但可能是我参数设置不合适，训练结果的人脸美感较差，因此最终没有采用。
The number of training images for the main LoRA model of Velvia 3.0 has reached 406, with the resolution further increased to 1024x1024.
In this version, the main model training utilizes "Scale weight norms" functionality to avoid overfitting. I also tested the "Prodigy" Optimizer in another alternative version. Prodigy can provide a fitting degree comparable to AdamW8bit with half the total training steps, but perhaps due to inappropriate parameter settings, the facial aesthetics of the training results were not as good, so it was not adopted in the end.
Based on the high-resolution main model, a small proportion of the Velvia 2.0 model was blended, and hierarchical adjustments were made to improve the skin tone in portraits.
2023.6.6 Introducing "The VELVIA 2.0"
The training set image resolution of the main LoRA model in Velvia 2.0 has been further improved to 768x1152.
During the training of this version's main model, 15 film training photos of young Asian males were added to enhance the realism of generated male photos.
On the basis of the high-resolution main model, a small proportion of the well-reviewed historical versions of Filmgirl were incorporated. After multiple tests, this combination of models can reduce the impact of the LoRA model on facial contours.
2023.5.24 Introducing "The VELVIA Version LoRA model "
The VELVIA model is a LoRA model trained using a high-resolution dataset and a new tagging method.
The photo training dataset has been reselected, no longer using regularized images.
The training dataset's resolution has been increased from 512x704 to 640x960.
A new tagging method and pyramid noise has been adopted.
My commonly used CFG range is 6 to 7, and the Lora weight is usually 0.5 to 0.7.
When the Clip skip is set to 1 or 2, the generated effects will be different. You can try more to see which style you like.
To avoid confusion when downloading and using the film-style LoRA and LoHA models, the homepage for this model will be dedicated to updating the film-style LoRA model in the future.