Instructions to use hf-internal-testing/tiny-wan-vace-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-wan-vace-transformer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-wan-vace-transformer", 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:
- f202611b0e9502e06c65fb69fadd2a8350acd6cfae79257647e0ee3297e0eff5
- Size of remote file:
- 2.68 GB
- SHA256:
- 209ee582b19f10aeae3b569f615ddf95116cbf0c90f09b27a81c3151dc58f61a
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