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.