Instructions to use Erland/tiny-fastwan2.1-t2v-dmd-debug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Erland/tiny-fastwan2.1-t2v-dmd-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-fastwan2.1-t2v-dmd-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:
- 20f4b7f6490ec4908c0c4bcf484524fe9b8d95ca5b41ca4fa4f107dc6fb07305
- Size of remote file:
- 32.8 MB
- SHA256:
- 4f2abbd0540a6cfb20818ae212e5fb10b2f5aa917babe23c449bc1dcdf4f7755
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