Title: Minimax-h3_Singularity Dual Sampler Upscale Workflow

Description:

🌐 Online Interactive Demo

Try it directly in your browser before downloading:

👉 Run on RunningHub Workflows (https://www.runninghub.ai/post/2096339589492432897/?inviteCode=rh-v1559)

📖 Workflow Overview

This is a dual-sampler HD upscale workflow built for Minimax-h3_Singularity. Compared to my previous generation linear dual-sampler workflow, this updated version features significantly faster sampling speeds and richer visual texture & crispness, though motion blur restoration is slightly milder.

✨ Important Note Before Use

The underlying Minimax-h3_Singularity model has been comprehensively optimized across all generation parameters. As a result, its early-stage diffusion process can be quite aggressive. If you run this with very low step counts, the initial frames may look exaggerated or harsh. Ensure you follow the recommended step configurations for clean results.

🧩 Required Models & Acceleration LoRA

• Base Model: Minimax-h3_Singularity

👉 Download on Civitai (https://civarchive.com/models/Minimax-h3_Singularity)

• Recommended Acceleration LoRA: Turbo 4-Step LoRA (0.1 / Ref version recommended)

👉 Download on Hugging Face (https://huggingface.co/lightx2v/Minimax-h3-Turbo)

🛠️ Required Custom Nodes

Make sure you have the following custom nodes installed via ComfyUI Manager or GitHub:

• Goohaitools-comfyui: https://github.com/goohai/Goohaitools-comfyui

• Comfyui_Minimax_h3_latent_Upscaler: https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler

• ComfyUI-Sol-Attn: https://github.com/eastmoe/ComfyUI-Sol-Attn

🤝 Community & Commercial Inquiries

Feel free to connect for tutorials, discussions, or business inquiries:

• YouTube: AIGC-Singularity (https://youtube.com/@AIGC-Singularity)

• Bilibili: AIGC-Singularity Space

• QQ Groups: 1058747239 / 1072010342

• WeChat (Business): aigctyd

• Email: [email protected]