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:
- 832860c535dda6807760856d90ee9c5011827b4e267d6b6331573b01d94e0e46
- Size of remote file:
- 1.97 GB
- SHA256:
- ab117703fb91e6b0f88be938f74bce577d245ef9766bb78a7bcd839fb5b10420
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