Instructions to use Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers", 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
Download image_processor/tokenizer.json from Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.64 MB
-
https://huggingface.co/Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers/resolve/refs%2Fpr%2F6/image_processor/tokenizer.json
- Command line
-
hf download hf://Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers@refs/pr/6/image_processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Wan-AI/Wan2.1-FLF2V-14B-720P-diffusers/resolve/refs%2Fpr%2F6/image_processor/tokenizer.json
3.64 MB
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