Recursive Magic Wan 2.1 14b T2V | Sweet Tea StudioRecursive Magic Wan 2.1 14b T2V
Base model : Wan Video 14B t2v Trained words : fractal help 🧠 Usage (Python)
Verified source
Kindtext-to-videoBase modelwan-ai/Wan2.1-T2V-14B-DiffusersVersionvd2638ecbc3d7e35398e34e3e42f02e36d040d0c1Licenseopenrail++Publisher@MuapiCgrade Model source
- Kind
- text-to-video
- Base model
- wan-ai/Wan2.1-T2V-14B-Diffusers
- Version
- vd2638ecbc3d7e35398e34e3e42f02e36d040d0c1
- License
- openrail++
- Parameters
- 14B
- Tasks
- Video
- Source
- Hugging Face
--- 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-t2v pipeline_tag: text-to-video --- # Recursive Magic - Wan2.1 14B T2V  **Base model**: Wan Video 14B t2v **Trained words**: fractal help ## 🧠 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": "recursive-magic-wan21-14b-t2v", "lora_strength": 1.0, "width": 832, "height": 480, "num_frames": 81 } print(requests.post(url, headers=headers, json=payload).json()) ```
Sources & provenance
1 active source
Source evidence
3 excerpts
license: openrail++ libraryname: diffusers basemodel: wan-ai/Wan2.1-T2V-14B-Diffusers tags: lora text-to-video wan wan2.1 wan-video-14b-t2v pipelinetag: text-to-video
Base model : Wan Video 14B t2v Trained words : fractal help 🧠 Usage (Python)
Muapi/recursive-magic-wan2.1-14b-t2v