---
title: Wan14BT2VFusioniX
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/Wan14BT2VFusioniX"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/Wan14BT2VFusioniX.md"
repository: AI-ModelScope/Wan14BT2VFusioniX
last_updated: 2026-06-27
license: apache-2.0
pipeline_tag: text-to-video-synthesis
tasks:
- text-to-video-synthesis
base_model_relation: finetune
parameters: 76.5B
tensor_type:
- F16
- BF16
- F8_E4M3
- F32
library_name:
- safetensors
- pytorch
frameworks:
- pytorch
downloads: 3943
stars: 12
tags:
- text-to-video
- diffusion
- merged-model
- video-generation
- wan2.1
- safetensors
---
# Wan14BT2VFusioniX
> Wan14BT2VFusioniX - AI-ModelScope 在 ModelScope 开源的模型。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.
AI-ModelScope/Wan14BT2VFusioniX 是 ModelScope 魔搭社区上的 76.5B 参数text-to-video-synthesis模型，采用 apache-2.0 许可。
- **Repository**: AI-ModelScope/Wan14BT2VFusioniX
- **License**: apache-2.0
- **Tasks**: text-to-video-synthesis
- **Parameters**: 76.5B
- **Tags**: text-to-video, diffusion, merged-model, video-generation, wan2.1, safetensors
- **Downloads**: 3943
- **Stars**: 12
- **Last updated**: 2026-06-27
Source: https://www.modelscope.cn/models/AI-ModelScope/Wan14BT2VFusioniX
---
## Sample Videos
### Sample 1
### Sample 2
### Sample 3
### Sample 4
### Sample 5
### Sample 6
### Sample 7
### Sample 8
### Sample 9
### Sample 10
### Sample 11
### Sample 12
### Sample 13
### Sample 14
### Sample 15
### Sample 16
### Sample 17
### Sample 18
### Sample 19
### Sample 20
# 🌀 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](https://github.com/tianweiy/CausVid)
- **AccVideo** – [Better temporal alignment and speed boost](https://github.com/aejion/AccVideo)
- **MoviiGen1.1** – [Cinematic smoothness and lighting](https://huggingface.co/ZuluVision/MoviiGen1.1)
- **MPS Reward LoRA** – [Tuned for motion and detail](https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs)
- **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](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main/FusionX_LoRa)
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](https://civitai.com/models/1681541) 🛠️🚀
---
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.*
---
## 📂 Workflows & Model Downloads
- 💡 **ComfyUI workflows** can be found here:
👉 [Workflow Collection (WIP)](https://civitai.com/models/1663553)
- 📦 **Model files (T2V, I2V, Phantom, VACE)**:
👉 [Main Hugging Face Repo](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main)
### 🧠 GGUF Variants:
- 🖼️ [FusionX Image-to-Video (GGUF)](https://huggingface.co/QuantStack/Wan2.1_I2V_14B_FusionX-GGUF/tree/main)
- 🎥 [FusionX Text-to-Video (GGUF)](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX-GGUF/tree/main)
- 🎞️ [FusionX T2V VACE (for native)](https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE-GGUF/tree/main)
- 👻 [FusionX Phantom](https://huggingface.co/QuantStack/Phantom_Wan_14B_FusionX-GGUF/tree/main)
---
## 🎬 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](https://civitai.com/posts/17874424)
- **Image-to-Video**
👉 [Watch Examples](https://civitai.com/posts/18029174)
- **Phantom Mode**
👉 [Watch Examples](https://civitai.com/posts/17986906)
- **VACE Integration**
👉 [Watch Examples](https://civitai.com/posts/18080876)
---
## 🔧 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](https://github.com/kijai/ComfyUI-WanVideoWrapper)
- 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](https://chatgpt.com/g/g-67c3a6d6d19c81919b3247d2bfd01d0b-wan-cinematic-video-prompt-generator)
---
## 📣 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](https://discord.com/invite/hxPmmXmRW3)
---
## ⚖️ 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](https://creativecommons.org/licenses/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!
---