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:
- 408698ae54e32ae19b2001f31b6d272e47cd5c7f88fcb41e0075355ff1d0bc8c
- Size of remote file:
- 262 kB
- SHA256:
- 2b23f4d66b973c58920d9871ce0fb6c760be5dd96007a6ccba1606e65d7e6208
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