Roundabout ( full body rotation lora for hunyuan and wan video )

    r0und4b0ut-wan-v1.0.safetensors LORA / Wan Video 14B i2v 720p

    Model Information
    Model Name
    Roundabout ( full body rotation lora for hunyuan and wan video )
    Version
    Roundabout-wan v1.0
    Creator
    tedbiv
    Size
    292.59 MB
    Downloads
    3,967
    Trigger
    r0und4b0ut
    Torrent Details
    BTIH
    AD9A48D41B46E7D105ABABBF9CA8FC1FF93F1EF3
    BTMH
    092FEA99B32D1E30FF72A4A679993915E404A6D67A02D5E752B34E0A81FC2952
    SHA256
    9A597E0891D0C6BE95B147B0EF2B5CAB97F607E39BFAA0CF589DA725D67DD9E1
    Upload Date
    12 months ago
    Uploader
    CivitasBay.org
    Status
    2 Seeders
    0 Peers
    Info

    Proof of concept model: a motion lora attempt to generate a full rotation of a full body female without 'beetlejuice head', upper/lower body counter-rotation or thigh/leg/foot morphing during rotation. I think i was able to train out 'beetljuice head' and upper/lower body counter-rotation. Lower leg and foot morphing is still hit or miss.

    Prompting: Should contain a moving motion to get the model to initiate turning motion. 'takes a step and turns around', 'turns in a circle', 'spins around', 'turns to the left'...

    Note: wan version - if prompt contains a short top, or, short dress, model tends to 'flash' the camera.

    Dataset: 5x100 frame 1024x1024 24fps video clips. each clip contained a female model performing a complete full body rotation. 3 clothed, 2 nudes. 2 models walking and turning, 3 dancing and turning.

    Training: 45 epochs, 1629 steps, 288x288 resolution.

    Testing: Sample videos were generated using a two stage tea cache sampler comfyui workflow. Samples with blue background were generated with caption files from training dataset. Stage 1 was run at 1.6x speed for 7 steps. This was to verify full body and rotational content before proceeding. Stage 2 was run at 1.0x speed for 20 steps. For clips that were clean, stage 2 denoising was set to 0,7. For others, stage 2 denoising was set to 0.8-0.9 to clean them up.

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