Instructions to use milaidy/box with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milaidy/box with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("milaidy/box", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c2ce5ddc07b9d3e08013e067ff64d038b781efd1db31f4a64be3fa6323049eab
- Size of remote file:
- 246 MB
- SHA256:
- c33c1366f4c7b46a372e8c69038cbc4fbde903db1da587d713364b2a3201d2df
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