Instructions to use Pyro99X/DB_model_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pyro99X/DB_model_3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pyro99X/DB_model_3", 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:
- b2f695950163bacc18945418e051263d087ce5215b18a8ac6f41d97090b27811
- Size of remote file:
- 492 MB
- SHA256:
- 8875d23410657c0c572d38f6fad99b8088828c5a2245f46eee23b2803e17b088
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