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The Walk

Base model: Wan Video 14B i2v 480p Trained words: walking, walking back, walking front, walking side

KindOtherBase modelwan-ai/Wan2.1-T2V-14B-DiffusersVersionRevision 9aec871

Model source

Kind
Other
File size
343 MB
Base model
wan-ai/Wan2.1-T2V-14B-Diffusers
Version
vRevision 9aec871
Updated
Sep 26, 2026
Downloads
14
Tasks
Text to video
Source
Hugging Face

Source description

The Walk

preview

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

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())

Sources

1 source
Hugging FacePrimaryVersion 9aec871df133f0601077cdd7903298ced9b503e9
huggingface.co/Muapi/the-walk/tree/9aec871df133f0601077cdd7903298ced9b503e9

Verified Sep 26

Model artifacts

1 artifact

the-walk.safetensors

safetensors · 343 MB · SHA-256 03e08e673ac7…a499 · Hugging Face

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Source excerpts

2 excerpts

--- 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 ![preview](./preview.jpg) **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()) ```

Source context: 14 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/the-walk