Instructions to use Erland/tiny-wan2.1-t2v-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Erland/tiny-wan2.1-t2v-debug with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Erland/tiny-wan2.1-t2v-debug", 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:
- b5110a27461ddebabbe8f35f478205c736f51b221f7fc8128d75ac66cbe3ca22
- Size of remote file:
- 32.8 MB
- SHA256:
- 8fd7b80062a9d72f7aeea0fbf4346cd4ade2598888986f25584c8478ab3c4ff4
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