Instructions to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec02002e43068d9e72e1a6e5b486b6faa42c8813c30f2ee446f10db30b79b71d
- Size of remote file:
- 8.31 GB
- SHA256:
- e32c1282127efd2dc984c4da04d78d2308393fe47ca090f63f578de305991827
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