How It Works Instead of brute-forcing a high-resolution generation in one pass, this pipeline divides the workload:<ul><li>Stage 1 (Motion &amp; Composition): The workflow begins by generating a 0.3-megapixel base sample for 25 steps. By restricting the pixel density, the model is forced to focus entirely on physics and movement. This prevents the AI from hallucinating extra fingers or breaking anatomy during fast motion.</li><li>Stage 2 (Turbo Refinement): The stable base is passed into a latent upscale at 0.8 megapixels, followed by a highly efficient 4-step turbo pass. The turbo model skips the heavy lifting of calculating motion vectors and acts purely as a powerful denoiser, stripping away the initial grain and smearing while injecting crisp, high-res details.</li></ul>Key Features &amp; Benefits<ul><li>Artifact-Free Fast Motion: Completely eliminates notorious MiniMax smearing and anatomical glitches.</li><li>Hardware Efficient: Highly optimized for local execution. It runs beautifully on standard consumer cards (like a 12GB RTX 4070) without triggering out-of-memory (OOM) errors.</li><li>Wan-Style Architecture: Brings high-noise to low-noise cascade logic to MiniMax H3.</li></ul>

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