This is a MiniMax H3 workflow focusing on a few problems I've been trying to fix: the oily/plastic look from acceleration LoRAs, blurry distant faces, and quality loss in high-motion scenes. I also added a two-stage latent upscale workflow, so you can generate a quick low-res preview first, find a good seed, and then refine it to around 1080p. This saves quite a bit of time compared to doing the full-resolution generation every time. The workflow also uses a merged H3 model, so text-to-video, image-to-video, first/last frame, and multi-reference generation can all be handled in basically the same workflow.
For more details, please check the note within the workflow.
If you don't have the hardware to run this workflow locally, you could try this online (Free 48GB GPU）.
Links:
Dmad+SelfLift:
https://www.runninghub.ai/post/2112077694410633218
Cinematic Version:
https://www.runninghub.ai/post/2101654857613963265
V1:
https://www.runninghub.ai/post/2094673232666742786
Check the tutorial video for instructions before using this workflow:
Dmad+SelfLift Version:
Cinematic Version:
V1:
Description
In this new version we use Dmad 4step merged lora and SelfLift two stage sampling. It is much faster, while keep the quality in check. Plus an experimental motion fix lora set.