Instructions to use INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound", 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 tokenizer/tokenizer.json from INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/INCModel/Wan2.1-T2V-1.3B-Diffusers-MXFP4-AutoRound/resolve/main/tokenizer/tokenizer.json
16.8 MB
- Xet hash:
- 09c2a2b09f657cacbe7391ea619e41fc60b9e8be0f6e5f4ec116e14c2430801f
- Size of remote file:
- 16.8 MB
- SHA256:
- e87c960c36d5fbf4e7e76c2469b7eab877be7f8c5992efbf97e44d3123cc6521
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.