Minimax H3 is a very powerful model, but many friends haven't written very good prompts. Now I will share my prompt optimisation t2v workflow. It is based on Qwen 3.6 in llama cpp for prompt optimisation. The optimisation rules are derived from analysing the official H3 user manual through Chat GPT, combined with some of my own understanding. These rules may not be perfect, but in my tests, the video quality generated is quite good. You can also add your own optimisation rules on top of this. Now you can just enter simple prompts like "a little bee collecting nectar in a flower bush" and get quite good videos through optimisation. Of course, you can also write more complex prompts. Finally, I wish everyone a lot of fun and am very grateful that H3, such a great model, is open source.
If your device isn't good enough, you can still try it here:
AI APP: Minimax h3 T2V Qwen3.6 prompt optimisation Experience link: https://www.runninghub.ai/ai-detail/2084834757149773825?inviteCode=d2zvx3lc
Workflow: Minimax h3 T2V Qwen3.6 prompt optimisation Experience link: https://www.runninghub.ai/post/2084826052081537025/?inviteCode=d2zvx3lc
