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:
- a623c54f5584acf3d57dd66b8bc9527bdff611d3ef93826dd7f3c5d7e0e78809
- Size of remote file:
- 3.38 GB
- SHA256:
- 9fe1b72f5eb5c04718f94f8bd6f6eab62b7e380197e2e0e7b9dbe81082be64ea
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