Instructions to use GraydientPlatformAPI/bd-m2150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bd-m2150 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/bd-m2150", 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:
- da9c2e55718982cc7e9bfeefe321d8522961776b2c9b8f3bdbcbb9a2b3c07eee
- Size of remote file:
- 1.72 GB
- SHA256:
- 1af5b8274d611ba7d188a06884a9eee4ece81fd4b91a8f577f21f503523d8ad9
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