Instructions to use HVSiniX/RawVideoDriven with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HVSiniX/RawVideoDriven with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HVSiniX/RawVideoDriven", 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:
- 61b5bba4df4a6de0cf20bca9763e9ae732c4ae6b85fa7772c5d94f85d44fe3bc
- Size of remote file:
- 4.98 MB
- SHA256:
- b3590e7c92d84ded80f3a274b95664efafd8f3ddab8d1ccc3bcb98bedd756dfc
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