ModelPrésentéExterne

3agamecg Wan 2.1 T2V 14b

Base model: Wan Video 14B t2v Trained words:

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

TypeOtherModèle de basewan-ai/Wan2.1-T2V-14B-DiffusersVersionRevision dd6cfc7CClasse

Source du modèle

Type: Other
Taille du fichier: 293 MB
Modèle de base: wan-ai/Wan2.1-T2V-14B-Diffusers
Version: vRevision dd6cfc7
Mis à jour: 26 sept. 2026
Téléchargements: 3
Source: Hugging Face

Description de la source

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())

Sources

1 source

Hugging FacePrincipalVersion dd6cfc7242ae6367596f283c87259663bcac07ef

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

Vérifié 16 août

Artefacts du modèle

1 artefact

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

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

Télécharger

Extraits de sources

2 extraits

Readme16 aoûthuggingface.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 aoûthuggingface.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