Wan14BT2VFusioniX

🌀 Wan2.1_14B_FusionX

High-Performance Merged Text-to-Video Model
Built on WAN 2.1 and fused with research-grade components for cinematic motion, detail, and speed — optimized for ComfyUI and rapid iteration in as few as 6 steps.

Merged models for faster, richer motion & detail — high performance even at just 8 steps.

📌 Important: To match the quality shown here, use the linked workflows or make sure to follow the recommended settings outlined below.

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🚀 Overview

A powerful text-to-video model built on top of WAN 2.1 14B, merged with several research-grade models to boost:

• Motion quality
• Scene consistency
• Visual detail

Comparable with closed-source solutions, but open and optimized for ComfyUI workflows.

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💡 Inside the Fusion

This model is made up of the following which is on TOP of Wan 2.1 14B 720p(FusionX would not be what it is without these Models):

• CausVid – Causal motion modeling for better flow and dynamics
• AccVideo – Better temporal alignment and speed boost
• MoviiGen1.1 – Cinematic smoothness and lighting
• MPS Reward LoRA – Tuned for motion and detail
• Custom LoRAs – For texture, clarity, and small detail enhancements (Set at a very low level)

All merged models are provided for research and non-commercial use only. Some components are subject to licenses such as CC BY-NC-SA 4.0, and do not fall under permissive licenses like Apache 2.0 or MIT. Please refer to each model’s original license for full usage terms.

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🚨✨Hey guys! Just a quick update!

We finally cooked up FusionX LoRAs!! 🧠💥
This is huge – now you can plug FusionX into your favorite workflows as a LoRA on top of the Wan base models and SkyReels models!🔌💫 You can still stick with the base FusionX Model if you already use it, but if you would rather have more control over the "FusionX" strength and a speed boost, then this might be for you.

Oh, and there’s a nice speed boost too! ⚡
Example: (RTX 5090)

• FusionX as a full base model: 8 steps = 160s ⏱️
• FusionX as a LoRA on Wan 2.1 14B fp8 T2V: 8 steps = 120s 🚀

Bonus: You can bump up the FusionX LoRA strength and lower your steps for a huge speed boost while testing/drafting.
Example: strength 2.00 with 3 steps takes 72 seconds.
Or lower the strength to experiment with a less “FusionX” look. ⚡🔍

We’ve got:

• T2V (Text to Video) 🎬 – works perfectly with VACE ⚙️
• I2V (Image to Video) 🖼️➡️📽️
• A dedicated Phantom LoRA 👻
  The new LoRA's are HERE Note: The LoRa's are not meant to be put on top of the FusionX main models and instead you would use them with the Wan base models. New workflows are HERE 🛠️🚀

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After lots of testing 🧪, the video quality with the LoRA is just as good (and sometimes even better! 💯)
That’s thanks to it being trained on the fp16 version of FusionX 🧬💎

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🌀 Preview Gallery

These are compressed GIF previews for quick viewing — final video outputs are higher quality.

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📂 Workflows & Model Downloads

• 💡 ComfyUI workflows can be found here:
  👉 Workflow Collection (WIP)

• 📦 Model files (T2V, I2V, Phantom, VACE):
  👉 Main Hugging Face Repo

🧠 GGUF Variants:

• 🖼️ FusionX Image-to-Video (GGUF)
• 🎥 FusionX Text-to-Video (GGUF)
• 🎞️ FusionX T2V VACE (for native)
• 👻 FusionX Phantom

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🎬 Example Videos

Want to see what FusionX can do? Check out these real outputs generated using the latest workflows and settings:

• Text-to-Video
  👉 Watch Examples

• Image-to-Video
  👉 Watch Examples

• Phantom Mode
  👉 Watch Examples

• VACE Integration
  👉 Watch Examples

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🔧 Usage Details

Text-to-Video

• CGF: Must be set to 1
• Shift:
  • 1024x576: Start at 1
  • 1080x720: Start at 2
  • For realism → lower values
  • For stylized → test 3–9
• Scheduler:
  • Recommended: uni_pc
  • Alternative: flowmatch_causvid (better for some details)

Image-to-Video

• CGF: 1
• Shift: 2 works best in most cases
• Scheduler:
  • Recommended: dmp++_sde/beta
• To boost motion and reduce slow-mo effect:
  • Frame count: 121
  • FPS: 24

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🛠 Technical Notes

• Works in as few as 6 steps
• Best quality at 8–10 steps
• Drop-in replacement for Wan2.1-T2V-14B
• Up to 50% faster rendering, especially with SageAttn
• Works natively and with Kaji Wan Wrapper
  Wrapper GitHub
• Do not re-add merged LoRAs (CausVid, AccVideo, MPS)
• Feel free to add other LoRAs for style/variation
• Native WAN workflows also supported (slightly slower)

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🧪 Performance Tips

• RTX 5090 → ~138 sec/video at 1024x576 / 81 frames
• If VRAM is limited:
  • Enable block swapping
  • Start with 5 blocks and adjust as needed
• Use SageAttn for ~30% speedup (wrapper only)
• Do not use teacache
• "Enhance a video" (tested): Adds vibrance (try values 2–4)
• "SLG" not tested — feel free to explore

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🧠 Prompt Help

Want better cinematic prompts? Try the WAN Cinematic Video Prompt Generator GPT — it adds visual richness and makes a big difference in quality. Download Here

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📣 Join The Community

We’re building a friendly space to chat, share outputs, and get help.

• Motion LoRAs coming soon
• Tips, updates, and support from other users

👉 Join the Discord

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⚖️ License

Some merged components use permissive licenses (Apache 2.0 / MIT),
but others — such as those from research models like CausVid — may be released under non-commercial licenses (e.g., CC BY-NC-SA 4.0).

• ✅ You can use, modify, and redistribute under original license terms
• ❗ You must retain and respect the license of each component
• ⚠️ Commercial use is not permitted for models or components under non-commercial licenses
• 📌 Outputs are not automatically licensed — do your own due diligence

This model is intended for research, education, and personal use only.
For commercial use or monetization, please consult a legal advisor and verify all component licenses.

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🙏 Credits

• WAN Team (base model)
• aejion (AccVideo)
• Tianwei Yin (CausVid)
• ZuluVision (MoviiGen)
• Alibaba PAI (MPS LoRA)
• Kijai (ComfyUI Wrapper)

And thanks to the open-source community!

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