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Minimax H3 Viggle animate Character swap

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Stable Diffusion Tutorials

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10,221 görüntüleme • 26 gün önce •via X (Twitter)

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Viggle-Animate Minimax H3 😃 Fined tuned replaces video characters using just a single repainted frame. It handles the absolute hardest motions—jumps, full kicks, whipping heads without smearing through the frames 👇
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Viggle-Animate Minimax H3 😃 Fined tuned replaces video characters using just a single repainted frame. It handles the absolute hardest motions—jumps, full kicks, whipping heads without smearing through the frames 👇

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#Viggle is back with an open model — Viggle-Animate — and it’s pretty damn capable. For the first time, they’re releasing weights + code. It replaces characters in video using MiniMax H3. Take a video, grab one frame, manually redraw the character as anything you want, and the model propagates that replacement through the entire clip while preserving motion, camera, and timing. No pose skeleton, segmentation, face tracking, depth, or text prompt. Just the video + one modified frame. Under the hood: a 33.1B MiniMax H3 ref2va fine-tune + DMD2 LoRA. Distillation brings it down to 4 sampling steps. It’s 6× faster than Wan2.2-Animate-14B. The catch: hardware. BF16 needs ~62 GiB for the transformer and peaks at ~80.1 GiB VRAM. They recommend 96 GB+ or CPU offload. It reportedly runs on a 32 GB RTX 5090 via NVFP4, but that quant isn’t public yet. Also, you can’t use a normal character portrait. The reference has to be a frame from the original video, already redrawn as the target character. #ai #web3
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