Instructions to use FastVideo/DreamX-World-5B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/DreamX-World-5B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/DreamX-World-5B-Diffusers", 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:
- ded9d6584a28ff35cff748ffd3d227dd38816076e0f3f858268e5a6ec96994db
- Size of remote file:
- 21.1 GB
- SHA256:
- fba4fd99fe1955b3fd9b2fe452a8029c9a625dc42441b5a482481f877520ebef
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