给 AI 一张陶罐碎片图，它能还原破裂过程吗？Minimax H3 vs Seedance 2.0 Fast 实测

TL;DR - A local deployment test compares MiniMax’s open-weight H3 video model with the closed Seedance 2.0 Fast on reconstructing a pottery-breaking sequence from a final-state image and storyboard. H3 makes advanced audiovisual generation more accessible for local experimentation, but Seedance delivered faster, more realistic, and physically coherent results.

• H3 combines reference-image conditioning, text instructions, temporal modeling, and joint audio-video generation to turn an outcome image into a plausible causal sequence.
• On an RTX A6000 using ComfyUI, H3 generated a 10-second video in 54 minutes 4 seconds, versus 3 minutes 23 seconds for Seedance 2.0 Fast; the comparison notes that hardware and optimization differences affect timing.
• Seedance more clearly depicted contact, imbalance, impact, fragmentation, and settling, while H3’s crucial cat-to-pot contact and some requested actions remained ambiguous.
• H3 preserved the reference image’s pottery material, fracture edges, fragments, and visual style, but its local open-weight version lagged in realism, physical interaction, and audio accuracy; some components also remain available only through MiniMax’s API.