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Base model: Wan Video 14B i2v 480p Trained words: walking, walking back, walking front, walking side
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Base model: Wan Video 14B i2v 480p Trained words: walking, walking back, walking front, walking side
🔑 Get your MUAPI key from muapi.ai/access-keys
Sources
1 sourceVérifié 26 sept.
Artefacts du modèle
1 artefactExtraits de sources
2 extraits--- 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-480p pipeline_tag: text-to-video --- # The Walk  **Base model**: Wan Video 14B i2v 480p **Trained words**: walking, walking back, walking front, walking side ## 🧠 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": "the-walk", "lora_strength": 1.0, "width": 832, "height": 480, "num_frames": 81 } print(requests.post(url, headers=headers, json=payload).json()) ```
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": "the-walk",
"lora_strength": 1.0,
"width": 832,
"height": 480,
"num_frames": 81
}
print(requests.post(url, headers=headers, json=payload).json())
Source context: 14 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/the-walk