Experimental Wan 2.2 i2v motion lora. Trained using 20 3-second long D-ART animation clips, all ass. Purpose is to see if an artist's animation style (not just the visual style) can be replicated via stable diffusion lora training.Works best at 12 fps setting (generate ~37 frames with the export settings set to 12 fps for a ~3s video). All videos in the data set were three to four seconds long so it performs best when the exported video is 2 to 3 seconds long. If you notice that motions start looking stiff of off, try shaving a split second or so off of the video time (slightly less frames). It seems to perform more consistently and closer to the source material when the number of frames is in the 17 to 25 range.

D-ART - Motion Test - 12 fps [Wan 2.2]

V2 Hig noise. Trained on 5 seconds of video instead of 3 seconds

config.yaml

D-ART_Ass-Motion-Test-WAN2.2I2V-V2_high_noise.safetensors

optimizer.pt

High Noise V2

Low Noise V2

Low Noise

High Noise

D-ART-Ass-Motion-12fps-V1_low_noise_WAN2.2I2V.safetensors

D-ART-Ass-Motion-V1_high_noise_WAN2.2I2V.safetensors

D-ART-Ass-Motion-V1_low_noise_WAN2.2I2V.safetensors

Files with SHA256: 85b5254257bf5f3e8a675a2178a091ccf8c579b136b22c1801901bf1abc148c1