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

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

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

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

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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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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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This model includes the following merged components:

• 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

All merged models use permissive open licenses (Apache 2.0 / MIT).

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• 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)

• 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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• 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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• 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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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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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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Merged under permissive licenses:

• Apache 2.0 / MIT
• You can use, modify, and redistribute
• You must retain original license info
• Outputs are not necessarily licensed — do your due diligence

This model is for research, education, and personal use only. Commercial use is your own responsibility. Please consult a legal advisor before monetizing outputs.

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• 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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