<h2 id="wan2.1_14b_fusionx-merged-models-for-faster-richer-motion-and-detail-in-as-little-as-8-steps!">🌀 Wan2.1_14B_FusionX — Merged models for Faster, Richer Motion &amp; Detail in as little as 8 steps!</h2>📢 7/1/2025 Update!<h3 id="new:-fusionx-lightning-workflows">New: FusionX Lightning Workflows</h3>Looking for faster video generations with WAN2.1? Check out the new FusionX_Lightning_Workflows — optimized with LightX LoRA to render videos in as little as 70 seconds (4 steps, 1024x576)!🧩 Available in: • Native • Native GGUF • Wrapper (VACE &amp; Phantom coming soon)🎞️ Image-to-Video just got a major upgrade!!!!!! Better prompt adherence, more motion, and smoother dynamics.⚖️ FusionX vs Lightning? Original = max realism. Lightning = speed + low VRAM, with similar quality using smart prompts.👉 <a target="_new" rel="ugc" href="https://civarchive.com/models/1736052?modelVersionId=1964792">Check it out here</a><hr />☕ Like what I do? Support me here: <a rel="ugc" href="https://buymeacoffee.com/vrgamedevgirl">Buy Me A Coffee</a> 💜 Every coffee helps fuel more free LoRAs &amp; workflows!<hr />📢 Did you know you can now use FusionX as a LoRA instead of a full base model? Perfect if you want more control while sticking with your own WAN2.1 + SkyReels setup.🔗 Grab the FusionX LoRAs <a target="_blank" rel="ugc" href="https://civarchive.com/models/1678575?modelVersionId=1900357">HERE</a> 🔗 Or Check out the Lightning Workflows <a target="_blank" rel="ugc" href="https://civarchive.com/models/1681541?modelVersionId=1903803">HERE</a> for a huge speed boost.<hr />📌 Important Details- Please read the full description below because small changes to settings will provide totally different results in a bad way! I have been testing and already found better settings so just please read below! Thank you :)💡Workflows can be found <a target="_blank" rel="ugc" href="https://civarchive.com/models/1663553?modelVersionId=1882890">HERE </a>(This is a wip and more will be added soon.)🛠️Updates section has been moved to the end of the description.A high-performance text-to-video model built on top of the base WAN 2.1 14B T2V model — carefully merged with multiple research-grade models to enhance motion quality, scene consistency, and visual detail, comparable to some of the many close source models.## 📢 Join The Community!A friendly space to chat, share creations, and get support.👉 <a target="_blank" rel="ugc" href="https://discord.gg/hxPmmXmRW3">Click here to join the Discord!</a>Come say hi in <code>#welcome</code>, check out the rules, and show off your creations! 🎨🧠<h3 id="what's-inside-this-base-model:">💡 What’s Inside this base model:</h3><ul><li>🧠 CausVid – Causal motion modeling for better scene flow and dramatic speed boot</li><li>🎞️ AccVideo – Improves temporal alignment and realism along with speed boot</li><li>🎨 MoviiGen1.1 – Brings cinematic smoothness and lighting</li><li>🧬 MPS Reward LoRA – Tuned for motion dynamics and detail</li><li>✨ Custom LoRAs (by me) – Focused on texture, clarity, and fine details. (These both were set to very low strengths and have a very small impact)</li></ul><hr /><h3 id="highlights:">🔥 Highlights:</h3><ul><li>📝 Accepts standard prompt + negative prompt setup</li><li>🌀 Tuned for high temporal coherence and expressive, cinematic scenes</li><li>🔁 Drop-in replacement for WAN 2.1 T2V — just better</li><li>🚀 Renders up to 50% faster than the base model (especially with SageAttn enabled)</li><li>🧩 Fully compatible with VACE</li><li>🧠 Optimized for use in ComfyUI, With both the Kijai Wan Wrapper and native nodes.</li></ul><hr />📌 Important Details for text to video:<ul><li>🔧 CGF must be set to 1 — anything higher will not provide acceptable results.</li><li>🔧 Shift - Results can vary based on Resolution. 1024x576 should start at 1 and if using 1080x720 start at 2. Note: For more realism lower shift values is what you need. If your looking for a more stylized look then test higher shift values between 3-9</li><li>Scheduler: Most of my examples used Uni_pc but you can get different results using others. Is really all about experimenting. I noticed depending on the prompt that the flowmatch_causvid works well too and helps with small details.</li></ul>📌 Important Details for image to video:<ul><li>🔧 CGF must be set to 1 — anything higher will not provide acceptable results.</li><li>🔧 Shift - For image to video I found that 2 is best but you can experiment.</li><li>Scheduler: Most of my examples used dmp++_sde/beta and seems to work best but you can experiment.</li><li>After testing, to get more motion and reduce the slow-mo look, set your frame count to 121 and frames per second to 24. This can provide up to a 50% motion speed boost.</li></ul>📌Other Important Details:<ul><li>⚡ Video generation works with as few as 6 steps, but 8–10 steps yield the best quality. Lower steps are great for fast drafts with huge speed gains.</li><li>🧩 Best results using the Kaji Wan Wrapper custom node: <a target="_blank" rel="ugc" href="https://github.com/kijai/ComfyUI-WanVideoWrapper">https://github.com/kijai/ComfyUI-WanVideoWrapper</a></li><li>🧪 Also tested with the native WAN workflow, generation time is a bit longer but results match wrapper.</li><li>❗ Do not re-add CausVid, AccVideo, or MPS LoRAs — they’re already baked into the model and may cause unwanted results.</li><li>🎨 You can use other LoRAs for additional styling — feel free to experiment.</li><li>📽️ All demo videos were generated at 1024x576, 81 frames, using only this model — no upscaling, interpolation, or extra LoRAs.</li><li>🖥️ Rendered on an RTX 5090 — each video takes around 138 seconds with the listed settings.</li><li>🧠 If you run out of VRAM, enable block swapping — start at 5 blocks and adjust as needed.</li><li>🚀 SageAttn was enabled, providing up to a 30% speed boost. (Wrapper only)</li><li>Workflows for each model can be found here: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1663553?modelVersionId=1882890">HERE</a></li><li>🚫 Do not use teacache — it’s unnecessary due to the low step count.</li><li>🔍 “Enhance a video” and “SLG” features were not tested — feel free to explore on your own. -- Edit. I did test "Enhance a video" and you can get more vibrant results with this turned on. Settings between 2-4. Experiment! SLG has not been tested much.</li><li>💬 Have questions? You’re welcome to leave a message or join the community:<ul><li>👉 Click here to join the Discord!</li></ul></li><li>📝 Want better prompts? All my example video prompts were created using this custom GPT: 🎬 <a target="_new" rel="ugc" href="https://chatgpt.com/g/g-67c3a6d6d19c81919b3247d2bfd01d0b-wan-cinematic-video-prompt-generator">WAN Cinematic Video Prompt Generator</a> Try asking it to add extra visual and cinematic details — it makes a noticeable difference.</li></ul><hr />⚠️ Disclaimer:<ul><li>Videos generated using this model are intended for personal, educational, or experimental use only, unless you’ve completed your own legal due diligence.</li><li>This model is a merge of multiple research-grade sources, and is not guaranteed to be free of copyrighted or proprietary data.</li><li>You are solely responsible for any content you generate and how it is used.</li><li>If you choose to use outputs commercially, you assume all legal liability for copyright infringement, misuse, or violation of third-party rights.</li></ul>When in doubt, consult a qualified legal advisor before monetizing or distributing any generated content.<hr />### 🧠 More GGUF Variants- 🖼️ <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.1_I2V_14B_FusionX-GGUF/tree/main">[FusionX Image-to-Video (GGUF)]</a>- 🎥 <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX-GGUF/tree/main">[FusionX Text-to-Video (GGUF)]</a>- 🎞️<a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE-GGUF/tree/main"> [FusionX T2V VACE GGUF (for native)]</a>- 👻 <a target="_blank" rel="ugc" href="https://huggingface.co/QuantStack/Phantom_Wan_14B_FusionX-GGUF/tree/main">[FusionX Phantom GGUF (for native)]</a><hr />###🧠 fp16 Versions can be found here:-- 🖼️<a target="_blank" rel="ugc" href="https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main">fp16 FusionX Models</a><hr /><hr />📌gguf comparisons! I'm slowly adding to this list, but here you can see how the models compare against the main model.Text to video:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/31414604-de0f-471c-934b-11c537277fed/width=525/31414604-de0f-471c-934b-11c537277fed.jpeg" />--------🛠️Update 6/8/2025 - Image to video model is published! Settings that I use in the example videos: Steps = 10 / cfg = 1 / shift = 2 / schedular = dmp++_sde i'll post a WF soon.🛠️Update 6/7/2025 - Published a i2v phantom model that can take up to 4 reference images and combine them into a video. Posting workflow soonPhantom WF is getting uploaded soon.🛠️Update 6/6/2025 - Added a new gguf model! If you want the highest quality and have enough VRAM get the V1.0 model otherwise gguf is the next best thing! When using the gguf's it will take longer to generate even on an RTX 5090.

Wan2.1_14B_FusionX

wan2114BFusionx_fusionxText2video.safetensors

FusionX_Text2Video

FusionX_i2v_gguf_Q3_K_S

FusionX_Image2Video

FusionX_PhantomV1

FusionX_T2V_gguf_Q3_K_S

WanT2V MasterModel

🎥 Wan2.1_14B_T2V-FusionX - Formerly named MasterModel, which served as a placeholder. Its the exact same model, just a new name.
A powerful merged text-to-video model based on the original WAN 2.1 T2V model, enhanced using multiple open-source components and LoRAs to boost motion realism, temporal consistency, and expressive detail. multiple open-source models and LoRAs to boost temporal quality, expressiveness, and motion realism.

🧠 Model Blend Includes:
🔗 AccVideo
🔗 MoviiGen1.1
🔗 CausVid
🔗 MPS Rewards LoRA
✨ Custom detail-enhancer LoRAs I created specifically for this merge
Only 8-10 steps are needed to get great results!
All are under Apache 2.0 or MIT licenses and fully permitted for merge and reuse.
🖼️ Example Prompt
Prompt:
Tight close-up of her smiling lips and sparkling eyes, catching golden hour sunlight. She wears a white sundress with floral prints and a wide-brimmed straw hat. Camera pulls back in a dolly motion, revealing her twirling under a cherry blossom tree. Petals flutter in the air, casting playful shadows. Soft lens flares enhance the euphoric, dreamlike vibe.

Negative Prompt (CN):
色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走

🧰 How to Use (ComfyUI)
Download the .safetensors file from the Files tab.
Place it into your ComfyUI/models/diffusion_models/ folder.
Restart ComfyUI.
Use the Checkpoint Loader node and connect it to your text-to-video workflow.
Since CausVid is merged into this model, you only need no more than 10 steps to get great results.


Files with SHA256: f9dcda1af22353047ee5e30273dc7f165ce0cdb99e9c112d34a9974484ddc924