Wan14BT2VFusioniX

--- library_name: diffusers base_model: - Wan-AI/Wan2.1-T2V-14B license: apache-2.0 pipeline_tag: text-to-video tags: - text-to-video - diffusion - merged-model - video-generation - wan2.1 - safetensors --- ## 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! ---