CIVITAI / Workflows

MiniMax H3 INT8 W4A8 Workflow

https://youtu.be/SUJkkT6XLHI This workflow is a MiniMax H3 acceleration test built around INT8 and W4A8 quantized routes. It is useful when you want to compare lighter MiniMax H3 video generation branches without rebuilding the full graph from scratch. The connected graph uses MiniMax H3 FL2VA model routes, Qwen3-VL MiniMax text encoders, MiniMax H3 video VAE, and the MiniMax H3 audio VAE. The layout keeps multiple reachable output branches so you can compare the W4A8 mixed model route against INT8 ConvRot routes in one project. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 acceleration-oriented comparison workflow - W4A8 mixed and INT8 ConvRot model branches are staged in one graph - Qwen3-VL MiniMax encoders are connected to the active generation paths - Video VAE and audio VAE routes are included for FL2VA style output - Portrait 9:16 resolution selector is used in the connected branches - Res-multistep sampling with a simple 20-step schedule appears in the tested branches - Designed for quick side-by-side testing of quantized MiniMax H3 behavior Suggested workflow: Start by testing one branch at a time and keep the same image, prompt, seed strategy, and duration when comparing model variants. For fair speed and quality checks, avoid changing the prompt between branches, then review face stability, motion consistency, lip movement, and background drift before deciding which branch fits your hardware. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424109604515841?inviteCode=rh-v1111 If the results meet your expectations, you can