Instructions to use Muapi/usada-pekora-wan2.1-14b-t2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/usada-pekora-wan2.1-14b-t2v with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wan-ai/Wan2.1-T2V-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/usada-pekora-wan2.1-14b-t2v") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add Usada Pekora/兎田ぺこら | Wan2.1 14B T2V
Browse files- README.md +38 -0
- preview.jpg +0 -0
- usada-pekora-wan2.1-14b-t2v.safetensors +3 -0
README.md
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---
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license: openrail++
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library_name: diffusers
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base_model: wan-ai/Wan2.1-T2V-14B-Diffusers
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tags:
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- lora
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- text-to-video
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- wan
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- wan2.1
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- wan-video-14b-t2v
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pipeline_tag: text-to-video
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---
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# Usada Pekora/兎田ぺこら | Wan2.1 14B T2V
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**Base model**: Wan Video 14B t2v
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**Trained words**: Usada Pekora, anime-style girl. The image features an anime-style character with light blue hair styled in two braids, each adorned with white ribbons and bunny ears and each adorned with a carrot. The character has large, pointed ears that resemble rabbit ears. The eyes are a warm orange color, giving the character a friendly appearance.The character is wearing a white outfit with blue accents. The top is a short-sleeved blouse with a bow at the neckline and a small bow on the chest. The character's legs are covered in brown pants.
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## 🧠 Usage (Python)
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🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
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```python
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import requests, os
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url = "https://api.muapi.ai/api/v1/wan21_t2v"
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headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
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payload = {
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"prompt": "masterpiece, best quality",
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"lora_model": "usada-pekora兎田ぺこら-wan21-14b-t2v",
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"lora_strength": 1.0,
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"width": 832,
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"height": 480,
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"num_frames": 81
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}
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print(requests.post(url, headers=headers, json=payload).json())
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```
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preview.jpg
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usada-pekora-wan2.1-14b-t2v.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f81ed3695da83b78367323aed9cab7ebf3f2ac6af97293214fc7bf04b59555dc
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size 306809624
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