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Video : https://youtu.be/RXZtimmlrng

Hey everyone.

New video is up. Same MiniMax H3 Singularity model as last time, but I changed how the sampling is set up, and the action scenes got noticeably better. Fast motion that used to blur out, hair and water detail that used to turn to mush — a lot of it just clears up.

The video walks through the old way I was running it and the new way, same prompts, same characters, straight comparison. I also cover the character sheets for the fighters and a two-character fight generated from reference images.

One honest finding: the resolution of the first pass barely matters. I was running it low on purpose and still getting cleaner detail than a much bigger render with the old method. The setup matters more than the size.

The free beginner workflow is attached right here. Reference links for everything are below.

Patreon Supporters, please check out the Patreon post for additional content.

Thanks for supporting the channel.

— Benji

Reference links:

Diffusion Model

https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity

https://huggingface.co/Comfy-Org/MiniMax-H3/

https://huggingface.co/Comfy-Org/MiniMax-H3/blob/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors

https://huggingface.co/RunningHubAI/rh-minimax-h3-lms-v1.0-r64-lora

https://huggingface.co/Alissonerdx/Minimax-H3-ComfyUI/blob/main/latent_upscaler/h3_upscaler_lms_v0.1.safetensors

Files

MiniMax H3 Singularity: New Sampling Settings for Fast Motion

MiniMax H3 Singularity new sampling settings in ComfyUI — split sigma multi-sampling for high action scenes, tested against the old two-pass method on the same prompts and characters. This video covers the updated MiniMax H3 workflow for high action and fast motion scenes. The Singularity fine-tuned model is still version 1.3, but the prompt writing specifications and a different way of splitting the sigma schedule change what comes out of it — smoother motion, sharper frames, and far less blur during fast movement. I walk through the character sheet setup, the old two-pass sampling with latent upscale, and the new multi-sampling workflow, then compare the outputs side by side on the same prompts. It is for anyone running MiniMax H3 locally in ComfyUI who is fighting blurred motion, pixelated hair, or muddy water and debris in action shots. You do not need exotic custom nodes — this runs on native ComfyUI sampling nodes plus a small LoRA stack, and the first pass can stay at low resolution because the second pass decides the final quality. What surprised me most: the resolution of the first pass barely matters. I ran 0.5 megapixels on the first sampler and got better solid detail than a 1080p two-pass generation from the same model, and the multi-sampler output even came through with cleaner audio. The takeaway is that sampling structure and where you place your LoRAs matter more than chasing a bigger model. Resources: Workflow for Freebies : https://www.patreon.com/aifuturetech/posts/ai-video-minimax-170794297?utm_source=youtube&utm_medium=video&utm_campaign=202609 - MiniMax H3 Singularity (fine-tuned diffusion model): https://huggingface.co/WarmBloodAban/Minimax-h3_Singularity - MiniMax H3 base models (diffusion, text encoder, VAE): https://huggingface.co/Comfy-Org/MiniMax-H3/ - Turbo 4-step LoRA: https://huggingface.co/Comfy-Org/MiniMax-H3/blob/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors - LMS sharpness LoRA: https://huggingface.co/RunningHubAI/rh-minimax-h3-lms-v1.0-r64-lora - H3 latent upscaler: https://huggingface.co/Alissonerdx/Minimax-H3-ComfyUI/blob/main/latent_upscaler/h3_upscaler_lms_v0.1.safetensors - Motion Repair LoRA: https://huggingface.co/JOKER141/MiniMax-H3-General-Motion-Continuity-Repair If You Like tutorial like this, You Can Support Our Work In Patreon: https://www.patreon.com/c/aifuturetech #MiniMaxH3 #ComfyUI #AIVideoGeneration #AIAnimation

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