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license: openrail++
library_name: diffusers
base_model: wan-ai/Wan2.1-T2V-14B-Diffusers
tags:
- lora
- text-to-video
- wan
- wan2.1
- wan-video-14b-i2v-720p
pipeline_tag: text-to-video
---
# SingularUnity - Wan2.1 MotionCraft
**Base model**: Wan Video 14B i2v 720p
**Trained words**: Medium shot, chest-centered framing, secondary tissue motion., Walking toward camera, gentle jiggle with each step, weighty but damped., Realistic soft-body physics, natural breast bounce, subtle inertia., Large breasts jiggling and bouncing.
## 🧠 Usage (Python)
🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
```python
import requests, os
url = "https://api.muapi.ai/api/v1/wan21_t2v"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "singularunity-wan21-motioncraft",
"lora_strength": 1.0,
"width": 832,
"height": 480,
"num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())
```
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