Instructions to use mattyamonaca/white2line with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mattyamonaca/white2line with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mattyamonaca/white2line", 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:
- 068848dbc6f3df66dd0ef52e63697f5d574ef5674b02752890e4d84da8d9571c
- Size of remote file:
- 5 GB
- SHA256:
- 4c1e2b6751b6e090f3cece6d89df55560c0361911d6f00c11efe18c56304cc02
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