Instructions to use Muapi/anime-denser-wan2.1-t2v-14b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/anime-denser-wan2.1-t2v-14b 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/anime-denser-wan2.1-t2v-14b") 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

- Xet hash:
- 9af38e1948f8098652b54854b5b17e692e63dc8db1474443b4a4d3f9b8eb8d09
- Size of remote file:
- 1.28 MB
- SHA256:
- 73d60a122d3af43c33fa4affb2e814e61f1524782042550ec56078870fb9a575
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