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Wan 2.1 FusionX Fine Tune Model - They Called It The Master Model!
🕑 Added 2025-06-11 15:07:34 +0000 UTC
Video : https://youtu.be/1wD8Iyvv1a4
Discover Fusion X—the powerhouse AI model combining AccVideo, Movie Gen 1.1, CausVid, and MPS Reward LoRA into one seamless tool for cinematic, high-quality video generation. In this video, we compare Fusion X with standard WAN 2.1 Vace, showcasing its superior dynamic scenes, human character refinement, and faster processing—all while running efficiently on quantized GGUF models.
Who Is This Content Suitable For?
AI video creators, filmmakers, and tech enthusiasts seeking next-level video generation. Whether you're crafting dynamic action scenes, refining human animations, or optimizing workflows for low-VRAM systems, Fusion X delivers Hollywood-quality results without the complexity.
Why It Matters:
Fusion X merges four cutting-edge technologies to:
Boost Quality: MPS Reward LoRA enhances human features and motion coherence.
Speed Up Workflows: CausVid and AccVideo reduce sampling steps without sacrificing detail.
Expand Creativity: Movie Gen 1.1 adds cinematic camera angles and dynamic scenes.
Wan14BT2VFusioniX - Hugging Face
https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX
Wan2.1-14B-T2V-FusionX-VACE
https://huggingface.co/QuantStack/Wan2.1-14B-T2V-FusionX-VACE
GGUF Quantized
Phantom-Wan-14B-FusionX-V1-FP8-GGUF: https://huggingface.co/QuantStack/Phantom-Wan-14B-FusionX-V1-FP8-GGUF
Wan2.1-14B-I2V-FusionX-FP8-GGUF: https://huggingface.co/QuantStack/Wan2.1-14B-I2V-FusionX-FP8-GGUF
Wan2.1-14B-T2V-FusionX-GGUF: https://huggingface.co/QuantStack/Wan2.1-14B-T2V-FusionX-GGUF
Wan2.1-14B-T2V-FusionX-VACE-GGUF: https://huggingface.co/QuantStack/Wan2.1-14B-T2V-FusionX-VACE-GGUF
How to Use (ComfyUI)
1Download the .safetensors file from the Files tab.
2Place it into your ComfyUI/models/diffusion_models/ folder.
3Restart ComfyUI.
4Use the Checkpoint Loader node and connect it to your text-to-video workflow.
5Since CausVid is merged into this model, you only need no more than 10 steps to get great results.
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
Attached the testlab workflow that I used in this video.
Comments
Brian Monarch
Hi, I just joined for a year and I clicked the discord link and it said invite expired. Can someone get me another link that works? Thanks!
