Update README.md
Browse files🧠 About This Model
Wan14BT2V_MasterModel is a merged video diffusion model based on WAN 2.1, combined with enhancements inspired by:
Source Model License Link
WAN 2.1-Fun-Reward-LoRAs Apache 2.0 https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs
AccVideo Apache 2.0 https://github.com/aejion/AccVideo
MoviiGen1.1 Apache 2.0 https://huggingface.co/ZuluVision/MoviiGen1.1
CausVid MIT https://github.com/tianweiy/CausVid
All components are under permissive licenses. This merged model is released under Apache 2.0 with attribution retained.
🎯 Use Case
Perfect for:
Experimental text-to-video generation
Storyboarding
Film concept prototyping
Visual storytelling research
⚠️ Notes
Outputs are not licensed but may depend on datasets used in original models.
Attribution is required for redistribution or commercial use.
This is research-grade, not optimized for production use yet.
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[Download](/vrgamedevgirl84/Wan14BT2V_MasterModel/tree/main)
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tags:
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- text-to-video
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- diffusion
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- merged-model
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- video-generation
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- wan2.1
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widget:
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- text: >-
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A medium close-up of a blonde woman with blue eyes standing at a train
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platform during golden hour. The camera dollies in slowly as she clutches a
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small letter to her chest, wind lifting her hair. Her eyes search the
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horizon with a mixture of hope and dread. The warm light of the setting sun
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backlights her silhouette, casting long shadows behind her. The scene feels
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bittersweet, suspended in time like a romantic drama climax.
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parameters:
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negative_prompt: >-
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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
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output:
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url: images/ComfyUI_00001_.webp
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base_model:
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- Wan-AI/Wan2.1-T2V-14B
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license: apache-2.0
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---
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# 🎥 Wan14BT2V_MasterModel
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A powerful merged **text-to-video model** built on [WAN 2.1](https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs), blended with the strengths of AccVideo, MoviiGen1.1, and CausVid.
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---
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## 📦 Downloads
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Weights available in `.safetensors` format
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👉 [Download here](https://huggingface.co/vrgamedevgirl84/Wan14BT2V_MasterModel/tree/main)
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---
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## 🔧 How to Use
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```python
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from diffusers import DiffusionPipeline
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pipe = DiffusionPipeline.from_pretrained("vrgamedevgirl84/Wan14BT2V_MasterModel")
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video = pipe("A robot walks through a neon-lit alley during a rainstorm").video
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