Enhance the details in your WAN video generations
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
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.
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.
IT JUST WORKS!! Try it. Please post some examples and give a thumbs up if you use it and like it.