Instructions to use NullVoider/V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NullVoider/V1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NullVoider/V1", 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:
- d30a44ebedb28c2edf46bdcc2157d4c5b5a3d9146819f3277f5dce7943f9063a
- Size of remote file:
- 391 MB
- SHA256:
- 9975042d7bee021bd53a72b1af14c8627d624f6547ec9abe661b68b962b88c49
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