Ada Wong
Base model: Wan Video 14B t2v Trained words: AD4W0NG
Fonte do modelo
- Tipo
- LoRA
- Tamanho do arquivo
- 293 MB
- Modelo base
- wan-ai/Wan2.1-T2V-14B-Diffusers
- Versão
- vBF16
- Atualizado
- 6 de nov. de 2026
- Downloads
- 16
- Fonte
- Hugging Face
Descrição da fonte
Ada Wong
preview
Base model: Wan Video 14B t2v Trained words: AD4W0NG
🧠 Usage (Python)
🔑 Get your MUAPI key from muapi.ai/access-keys
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": "ada-wong",
"lora_strength": 1.0,
"width": 832,
"height": 480,
"num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())
Fontes
1 fonte
Fontes
1 fonteVerificado 6 de nov.
Download files
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoada-wong.safetensors
safetensors · BF16 (unverified) · 293 MB · SHA-256 4322555f57f5…6fe1 · Hugging Face
Download fileTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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 --- # Ada Wong  **Base model**: Wan Video 14B t2v **Trained words**: AD4W0NG ## 🧠 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": "ada-wong", "lora_strength": 1.0, "width": 832, "height": 480, "num_frames": 81 } print(requests.post(url, headers=headers, json=payload).json()) ```
Source context: 16 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/ada-wong
Source context: 11 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/ada-wong
