Instructions to use vdo/potat1-15000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vdo/potat1-15000 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/potat1-15000", 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:
- 8c0c79d93160e92e1a7091c838eb1f7870c27d896f22f83c4f8e9ec6b04ac866
- Size of remote file:
- 681 MB
- SHA256:
- cd6200185472124421b79942c09095b1cbb5fb210f9b0cb8b8151fdf136ffe8b
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