Tensor.Art
Create

Reprint: Body Growth/Expansion for Wan Video 2.2 - Minimax FL2Vid V0.9

Reprint: Body Growth/Expansion for Wan Video 2.2

LORA
Reprint

Updated:

Minimax FL2Vid V0.9
Minimax Ref2Vid V0.9
V1 High
V1 Low

Reprint of: https://civitai.com/models/1951971?modelVersionId=2310872

(see original for previous version info)

This lora is to produce the effect of the subject growing bigger. It was trained on mostly male furry videos, so it probably skews towards that in generation.

The alpha version was trained on a larger dataset that included more jerking and pulsing movements to indicate the growth, which tends to be overaccentuated in the generation.

The beta version was trained for more iterations on a smaller dataset that included less visible growth movements, so it tends towards generating things that look like they're just being scaled up.

I2V Example ComfyUI Workflow: https://pastebin.com/jrBihCYA

V1:

This was my second attempt at combining everything into just one Lora you can use and not need to use any other alpha/beta/gamma with it, and I think it works decently well. It has the same trigger words as gamma.

  • clothes ripping / clothes ripping off

  • the room gets cramped

  • grows more muscular

They have varying degrees of success.

Note: each one you use increases the effect of the lora, and means you should use a lower weight. If you include the word "grow" multiple times, it seems to overexaggerate the effect and cause the subject to get really inflated/fat proportions.

Generation Tips:

  • It seems to need to be anywhere from 0.65 to 1.15, based on the image you're trying to animate. You can just use this one by its own.

  • This seems to need more steps when using the lightx2v/lightning loras, or else you get jerky movements. I typically end up using 10 steps, 5 High, 5 Low

  • I usually use Euler Simple

Not for commercial use.

Version Detail

MINIMAX_H3_COMFY
250
4
Reprint of: https://civitai.red/models/1951971/body-growthexpansion?modelVersionId=3213742 Minimax H3 Surprisingly, the base model already has decent knowledge of growth and stuff. I tried training a lora for it using the same dataset as the previous versions. The effect seems slight, and more of a polish than teaching it a new trick. For 0.9, I attached a few different epochs for the same model, pretty much just different amounts of training. I typically only used the 1000 step and 1500 step trained lora, but theoretically you should be able to get a stronger effect with the 2500 step one i also attached. Keep in mind, the more steps trained on in the lora you use, the less flexibility the model seems to have. (ie. the growth effect is slighter in the 1000 trained lora, but the overall quality seems better.) I included two different versions: one trained on ref2vid and one on fl2vid. It seems like both work on either diffusion model, but you do get a bit better results using the right lora with the right model. Not for commercial use.

Project Permissions

Model reprinted from : https://civitai.com/models/1951971?modelVersionId=2310872

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

Related Posts