Instructions to use Guizmus/BloodborneDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/BloodborneDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Guizmus/BloodborneDiffusion", 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:
- f9c44945c878a51037143732ef5e7cf4d9b6b4bad4c9b369a0bee9daa533569f
- Size of remote file:
- 3.44 GB
- SHA256:
- 0f0bf5a062885ad0873a36a08f913acf2bb4e3a8fe008ac389ed5f2c9eb0bdfd
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