Update your comfyUI before using v1.6This workflow uses <a target="_blank" rel="ugc" href="https://github.com/bhardwajRahul/ComfyUI-Viggle-Animate-H3">minimax viggle-h3</a> workflow cleanly and quickly for motion&amp; dance, sample preview gens. You can upscale by Minimax H3 Latent Upscaler (3D) + RTX Upscaled for quickly generates. With viggle-h3 lora It doesn't usually have a direct impact, but it's passable. This advanced, two-stage workflow completely solves the budget VRAM crisis.<h1 id="you-must-have">You must have</h1>- <a target="_blank" rel="ugc" href="https://github.com/bhardwajRahul/ComfyUI-Viggle-Animate-H3">minimax viggle-h3</a>- ModelAttentionBackend- ComfyUI-sol-attn🛠️ Quick Start<ol><li>Import the workflow file into your workspace.</li><li>Verify all paths point correctly to your quantized checkpoints.</li><li>Upload the first reference video for the motion, and a reference picture for the character that will be dancing.</li></ol>⚡  enjoy

Minimax H3 Tiktok Dance & Motion | Low VRAM | Latent Upscaler+RTX Upscaler (viggle-h3 edited)V1.0

viggle-h3 edited, two-stage workflow completely use Latent Upscaler+RTX Upscaler

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