Wan14BT2VFusioniX

vrgamedevgirl84/Wan14BT2VFusioniX

Wan14BT2VFusioniX is a text-to-video model from vrgamedevgirl84. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.

<video src="https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/resolve/main/videos/FusionX00005.mp4" controls width="100%"</video

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At a glance

Task: Text-to-Video
Library: diffusers
License: apache-2.0
Access: Public
Created: Jun 4, 2025
Updated: Apr 24, 2026
SHA: b9793a1f

Base models

Wan-AI/Wan2.1-T2V-14B

Spaces

82 linked

Model card

From the Hugging Face model README

Sample Videos

Sample 1

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Sample 3

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🌀 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.

🚀 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.

💡 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.

🚨✨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 🛠️🚀

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 🧬💎

🌀 Preview Gallery

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

FusionX_00020
FusionX_00021
FusionX_00022
FusionX_00023
FusionX_00024
FusionX_00025
FusionX_00026
FusionX_00027
FusionX_00028
FusionX_00029
FusionX_00030
FusionX_00031

📂 Workflows & Model Downloads

💡 ComfyUI workflows can be found here:
👉 Workflow Collection (WIP)
📦 Model files (T2V, I2V, Phantom, VACE):
👉 Main Hugging Face Repo

🧠 GGUF Variants:

🎬 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

🔧 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

🛠 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)

🧪 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

🧠 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

📣 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

⚖️ 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.

🙏 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!

Task: Text-to-Video
Library: diffusers
License: apache-2.0
Created: Jun 4, 2025
Updated: Apr 24, 2026