In Norse mythology, Ratatoskr (Old Norse, generally considered to mean "drill-tooth" or "bore-tooth") is a squirrel who runs up and down the world tree Yggdrasil to carry messages between the eagle perched atop Yggdrasil and to the roots of the tree to Nidhogg.
WAN 2.1:
This WAN 2.1 Model is trained based on parts of the Ratatoskr Helheim / Flux Database
its made to animate Ratatoskr image outputs
so the model is better with animate , Animals , Anthro , Furry and Fantasy Creatures than the standard model.
the model can do SFW and NSFW
the model can handle different resolutions between 480p and 720p (even slightly above)
WAN V1.0:
I also recommend using any Ratatoskr based Pictures to generate Videos with it.
WAN 2.2 Hybrid V1.0:
This is an Hybrid model between parts a customized Wan 2.2 (WAN2.2-14B-Rapid-AllInOne T2V V1) and the V1 Version of Ratatoskr WAN 2.1
It's made with specific block merging and for now an wip model i will sure try also train in the future.
Like in the original WAN2.2-14B-Rapid-AllInOne Model the refiner is merged inside the model
so you can generate the image in with one ksampler but it needs 6 Steps instead of the 4 steps of the original Wan 2.2 Custom model and other Settings:
6 -10 Steps
Sampler Recommended: Uni PC BH2
Scheduler: Beta or sgm_uniform
cfg between 1 and 1.2 is tested
Overall this model is better with anthro and furry creatures than original also better in the nsfw area than standard WAN 2.2
Note: if you like T2V i made a Lora for that you can download and test it here: https://tensor.art/models/872785610920689931/Ratatoskr-WAN-Alpha-T2V-WIP-V0.4-WIP
There is also an Lora that i have build before i trained the model. i recommend to check it out.
the Model is trained at around 2700 pictures and 230 Videos.
if you wanna support my work please leave a like.
Description
This is an Hybrid model between parts a customized Wan 2.2 (WAN2.2-14B-Rapid-AllInOne T2V V1) and the V1 Version of Ratatoskr WAN 2.1
It's made with specific block merging and for now an wip model i will sure try also train in the future.
Like in the original WAN2.2-14B-Rapid-AllInOne Model the refiner is merged inside the model
so you can generate the image in with one ksampler but it needs 6 Steps instead of the 4 steps of the original Wan 2.2 Custom model and other Settings:
6 -10 Steps
Sampler Recommended: Uni PC BH2
Scheduler: Beta or sgm_uniform
cfg between 1 and 1.2 is tested
the comfy workflows i used can be found in the videos download them and open them in comfy
Overall this model is better with anthro and furry creatures than original also better in the nsfw area than standard WAN 2.2