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TenStrip/Wan2.2_H3_Motion_Lora
Wan2.2_H3_Motion_Lora is a image-text-to-video model from TenStrip. Use it for the image-text-to-video task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This is a lora for the video h3 model, using wan2.2 attn layers on the mid to late H3 blocks with peak mapping. Wan's blocks are reversed to align better. Wan is 16fps but again H3's design seperation doesn't make the…
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Updated Aug 9, 2026
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From the Hugging Face model README
This is a lora for the video h3 model, using wan2.2 attn layers on the mid to late H3 blocks with peak mapping. Wan's blocks are reversed to align better. Wan is 16fps but again H3's design seperation doesn't make the much of an issue, timestep isn't adjusted at all.
This is extraction result from Wan2.2 branch of my attn graft experiments. At rank 512 the lora only captures 41.6% of the residual orthagonal delta inside the merged full model version for test1, 1024 captures 69%. Both produce a large shift in motion style in terms of prompt response, tending towards old Wan style repetetive motions. The Wan model used is subjective and I'm still looking for reccomendations on better ones (fp16 needed). All experimental. Refer to Eros Max page for exact methodology of how cross-model attn grafting works inside H3 model.