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Hunyuan YAW (Yet another workflow) fast, T2V,I2V,V2V audio, random-lora, preview pause, upscale, multi-res, interpolate,prompt save/load,teacache,new interface - v6.2 Showcase

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V6.2 Added: I2V, T2V, GGUF support. System Ram can be used as VRAM, Significant Interface Update. Perfect for Beginners and Flexible for Advanced Users. Please check it out, if you tried it before. Its much improved.

NEW in V6.2! Major overhaul. Significant interface changes. Dual Randomized Lora stacks with Triggers/Prompts and Wildcards. Amp up your over-night generation runs! Prompt Save/Load and more. Face Restore. Audio generation has been improved, Stand-alone Audio Generation, T2V, I2V via SkyReels, GGUF support, use system ram as VRAM.

Read full instructions below for more info.

Workflow highlights:

  • Audio Generation - via MMaudio - Render Audio with your videos, Stand-alone plug-in available for audio only post processing.

  • FAST preview generation with optional pausing

    • Preview your videos in seconds before proceeding with the full length render

  • Lora Randomizer - 2 stacks of 12 Loras, can be randomized and mixed and matched. Includes wildcards, triggers or prompts. Imagine random characters + random motion/styles, then add in Wildcards and you have the perfect over-night generation system.

  • Prompt Save/Load/History

  • Multiple Resolutions

    • Quickly Select from 5 common resolutions using a selector. Use up to 5 of your own custom resolutions.

  • Multiple Upscale Methods -

    • Standard Upscale

    • Interpolation (double frame-rate)

    • V2V method

  • Multiple Lora Options

    • Traditional Lora using standard weights

    • Double-Block (works better for multiple combined loras without worrying about weights)

  • Prompting with Wildcard Capabilities

  • Teacache accelerated (1.6 - 2.1X the speed)

  • All Options are toggles and switches no need to manually connect any nodes

  • Detailed Notes on how to set things up.

  • Face Restore

  • Text 2 Video, Video 2 Video, Image 2 Video

  • Fully tested on 3090 with 24GB VRAM

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