<h3 id="minimax-h3">MiniMax H3</h3><h3 id="i-just-updated-my-node-pack.-if-it-gives-you-errors-download-it-from-github-(link-below)">I just updated my node pack. If it gives you errors, download it from Github (Link Below)</h3>This is an advanced workflow with numerous options. It is not necessarily designed for beginners (although I encourage you to try it). For a simpler version, try my one, Here: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2600919/lonecats-simple-workflows-minimax-h3-krea-2-zit-klein9b-illustrious-flux-wan22-qwen-image-edit">https://civarchive.com/models/2600919/lonecats-simple-workflows-minimax-h3-krea-2-zit-klein9b-illustrious-flux-wan22-qwen-image-edit</a><hr />Instagram: <a target="_blank" rel="ugc" href="https://www.instagram.com/synth.studio.models/">https://www.instagram.com/synth.studio.models/</a>Buy me a☕ <a target="_blank" rel="ugc" href="https://ko-fi.com/lonecatone">https://ko-fi.com/lonecatone</a>This represents hundreds of hours of work that I give away for free. If you enjoy it, Please make sure to 👍like and post to my workflows. That is how you support me!!! Also, feel free to ⚡tip 😉<hr /><h3 id="uses-my-comfyui_lc123_nodes">Uses my <a target="_blank" rel="ugc" href="https://github.com/lonecatone23/ComfyUI_LC123_nodes">ComfyUI_LC123_nodes</a></h3>也有中文说明<h3 id="v5.0">V5.0</h3>I went back to the drawingboard. I borrowed an idea (or two) from @Plaguekind, researched several other optimization ideas, and made a change to the LLM:<ul><li>Swapped out cheesy LLM prompter for QwenVL with Minimax 🎞️ options.</li><li>Changed the entire setup on how the models swap.</li><li>Moved stuff around to confuse anyone who just got used to the other workflow.<ul><li>Eliminated duplicate loaders.</li><li>eliminated duplicate Preview windows.</li></ul></li><li>Swapped out the limited LoRA loaders for a Power LoRA loader.</li><li>Improved the Sampler setup.</li><li>Added and updated notes.</li><li>drank a lot of ☕</li></ul><h3 id="v4.0">V4.0</h3>I spent the last few weeks going through everyone else's workflows to see what worked and what did not. I built some custom nodes to deal with issues and tested out pretty much every optimization setup listed in the ComfyUI manager and on CivitAI I can get faster, but with less quality. I can go slower, but not gain much more quality. I tried chunking, Sparse attention, Optimizers, Cache options, etc. I trimmed it down to this:<ul><li>Overhauled the reference area</li><li>created pipes to better transfer data</li><li>Added Advanced Sparse Attention and H3 Optimizer nodes.<ul><li><a target="_blank" rel="ugc" href="https://github.com/Zironic/H3-Optimizations">https://github.com/Zironic/H3-Optimizations</a><ul><li>Speed is significantly faster with better quality than other setups.</li><li>even works with Sage Attention!!</li></ul></li></ul></li><li>Added <a target="_blank" rel="ugc" href="https://civarchive.com/models/2851079/h3-eros-max?modelVersionId=3275279">h3-eros-max </a>capabilities</li></ul><h3 id="v3.2">V3.2</h3>Man, I'm batting 1.000 as of late 🤔<ul><li>Added a second LoRA loader</li><li>Replaced the Sage attention nodes with the new H3 ones</li><li>Fixed the break there at the same time 🙄</li><li>made a connection redo in the reference area.</li></ul><h3 id="v2.0">V2.0</h3><ul><li>Added Turbo LoRAs</li><li>Added H3 Sigma schedulers</li><li>Massive update in notes</li><li>Added LoRA Loader that works for both models</li><li>Upgraded the LLM prompt Instructions to better align with the Model</li></ul>OverviewThis workflow includes a comprehensive set of features designed for advanced video generation and enhancement:<ul><li>Support for GGUF or standard diffusion models and CLIP models</li><li>Integrated LLM for intelligent prompt engineering</li><li>First-frame / last-frame to video (FLF2V) generation</li><li>Reference-to-video (REF2V) capability</li><li>Supports up to 4 reference images (expandable via additional connections)</li><li>Accepts video inputs</li><li>Accepts audio inputs</li><li>RIFE frame interpolation</li><li>RTX Super Resolution upscaling</li><li>也有中文说明</li></ul><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6a5477c8-df2c-4a71-a7fe-9b373d452e8d/original=true/6a5477c8-df2c-4a71-a7fe-9b373d452e8d.jpeg" />

Lonecat's MiniMax H3 FL2VA/ REF2VA with Advanced Optimizers for low and High VRAM users. Eros ready.

V4.0<ul><li>Overhauled the reference area</li><li>created pipes to better transfer data</li><li>Added Advanced Sparse Attention and H3 Optimizer nodes.<ul><li>Speed is significantly faster with better quality than other sparse attention setups. </li><li>even works with Sage Attention!!</li></ul></li><li>Added optimized Sage Attention nodes</li><li>Added <a target="_blank" rel="ugc" href="https://civitai.red/models/2851079/h3-eros-max?modelVersionId=3275279">h3-eros-max </a>capabilities</li></ul>

Files with SHA256: a252d1c4729d1a64668cf8c841d32bae90d8007408ab170b837f521201398e9e