Instructions to use aidealab/AIdeaLab-VideoJP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aidealab/AIdeaLab-VideoJP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aidealab/AIdeaLab-VideoJP", 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:
- 2bebf96024c4227f4ad78ba36f15faaed040f2c83e1c37c58beb7b8a1b2bead7
- Size of remote file:
- 1.7 MB
- SHA256:
- 1336d57a9cbb0d87564e12c7fd74b8db46d6d612abf7c71dbd0b8a699e223f71
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