ModelPublicadoExterno

3agamecg Wan 2.1 T2V 14b

Base model: Wan Video 14B t2v Trained words:

Fuentehuggingface.co/Muapi/3agamecg-wan2.1-t2v-14b/tree/dd6cfc7242ae6367596f283c87259663bcac07ef

TipoOtherModelo basewan-ai/Wan2.1-T2V-14B-DiffusersVersiónRevision dd6cfc7Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 293 MB
Modelo base: wan-ai/Wan2.1-T2V-14B-Diffusers
Versión: vRevision dd6cfc7
Actualizado: 26 sept 2026
Descargas: 3
Fuente: Hugging Face

Descripción de la fuente

3AGameCG-Wan2.1-T2V-14B

preview

Base model: Wan Video 14B t2v Trained words:

🧠 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": "3agamecg-wan21-t2v-14b",
    "lora_strength": 1.0,
    "width": 832,
    "height": 480,
    "num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())

Fuentes

1 fuente

Hugging FacePrincipalVersión dd6cfc7242ae6367596f283c87259663bcac07ef

huggingface.co/Muapi/3agamecg-wan2.1-t2v-14b/tree/dd6cfc7242ae6367596f283c87259663bcac07ef

Verificado 16 ago

Artefactos del modelo

1 artefacto

3agamecg-wan2.1-t2v-14b.safetensors

safetensors · 293 MB · SHA-256 2810716fe049…9a1e · Hugging Face

Descargar

Extractos de fuentes

2 extractos

Readme16 agohuggingface.co/Muapi/3agamecg-wan2.1-t2v-14b

--- 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 --- # 3AGameCG-Wan2.1-T2V-14B ![preview](./preview.jpg) **Base model**: Wan Video 14B t2v **Trained words**: ## 🧠 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": "3agamecg-wan21-t2v-14b", "lora_strength": 1.0, "width": 832, "height": 480, "num_frames": 81 } print(requests.post(url, headers=headers, json=payload).json()) ```

Note16 agohuggingface.co/Muapi/3agamecg-wan2.1-t2v-14b

Source context: 3 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/3agamecg-wan2.1-t2v-14b