Detailz-Wan: Detail Enhancer for WAN Videos
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Detailz-Wan: Detail Enhancer for WAN Videos

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Detailz-Wan: Detail Enhancer for WAN Videos

Detailz-WAN

Enhance the details in your WAN video generations

Detailz-WAN was designed to help with your video generations using the WAN models. It was primarily focused on improving the details of people (skin, faces, etc.) but can also add detail to items and backgrounds. It also seems to help add depth to colors and lighting.

Detailz was trained 704 high definition photographs of mostly people in natural surroundings. This was a selected subset of some training images I have to push WAN for better details. It was designed with the TEXT to VIDEO model in mind. Testing on IMAGE to VIDEO shows good results too. It tends to add details and 'depth' without deviating from the input image.

IT JUST WORKS!! Try it. Please post some examples and give a thumbs up if you use it and like it.

Note: This was not a NSFW trained model. The images used were all SFW. HOWEVER, it works well in conjunction with other available NSFW enhancing LoRA's. It helps keep the subjects more realistic. So for improved NSFW results, combine with a NSFW LoRA from one of the other amazing creators on here.

All of the sample images were made in COMFYUI using the default workflow with a simple upscale step added at the end using Remacri. They are all TEXT to VIDEO generated. Most were random prompted. I will add some better prompted videos over time, but I was rushing to get this ready to publish so I could move on to enjoying it more. Also, it looks like the format I saved to doesnt do video previews so you have to open the showcase images for them to move... frustrating and I will try to replace them soon.

Use:

  • Designed for WAN T2V Model

  • Trained on 14B T2V model

  • Strength of 0.75-1.0

  • No trigger word required but was trained on word "detailz"

  • Trained in AI-Toolkit on still images only

此模型源自站外搬运(搬运地址: https://civitai.com/models/1385506/detailz-wan-detail-enhancer-for-wan-videos ),若原作者对于本次搬运的结果存在异议,可点
申诉
我们会在 24 小时内,按照原作者的要求,对本模型展开编辑、删除或是转移给原作者等相关处理。由衷欢迎原作者入驻本站,共建 AI绘图的学习交流社区。

凡星

凡星

插画

写实

幻想

画风加强

主体加强

元素加强

画面控制

模型信息

原创作者:
Vision_AI_ry
模型类型:
LoRA
基础模型:
WAN2.1

Detailz-WAN

Enhance the details in your WAN video generations

Detailz-WAN was designed to help with your video generations using the WAN models. It was primarily focused on improving the details of people (skin, faces, etc.) but can also add detail to items and backgrounds. It also seems to help add depth to colors and lighting.

Detailz was trained 704 high definition photographs of mostly people in natural surroundings. This was a selected subset of some training images I have to push WAN for better details. It was designed with the TEXT to VIDEO model in mind. Testing on IMAGE to VIDEO shows good results too. It tends to add details and 'depth' without deviating from the input image.

IT JUST WORKS!! Try it. Please post some examples and give a thumbs up if you use it and like it.

Note: This was not a NSFW trained model. The images used were all SFW. HOWEVER, it works well in conjunction with other available NSFW enhancing LoRA's. It helps keep the subjects more realistic. So for improved NSFW results, combine with a NSFW LoRA from one of the other amazing creators on here.

All of the sample images were made in COMFYUI using the default workflow with a simple upscale step added at the end using Remacri. They are all TEXT to VIDEO generated. Most were random prompted. I will add some better prompted videos over time, but I was rushing to get this ready to publish so I could move on to enjoying it more. Also, it looks like the format I saved to doesnt do video previews so you have to open the showcase images for them to move... frustrating and I will try to replace them soon.

Use:

  • Designed for WAN T2V Model

  • Trained on 14B T2V model

  • Strength of 0.75-1.0

  • No trigger word required but was trained on word "detailz"

  • Trained in AI-Toolkit on still images only

此模型源自站外搬运(搬运地址: https://civitai.com/models/1385506/detailz-wan-detail-enhancer-for-wan-videos ),若原作者对于本次搬运的结果存在异议,可点
申诉
我们会在 24 小时内,按照原作者的要求,对本模型展开编辑、删除或是转移给原作者等相关处理。由衷欢迎原作者入驻本站,共建 AI绘图的学习交流社区。