Instructions to use vdo/potat1-40000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/potat1-40000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vdo/potat1-40000", 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:
- ca145a05a23b2f51c11c6910846b74596206eff9721a77100ed658744e815a7f
- Size of remote file:
- 681 MB
- SHA256:
- 05fa88c29d03028b34db67aba6f11d046e7dcdf3e7ffaaf5d6c3693291649417
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