Instructions to use Brainergy/ppiittuuffoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Brainergy/ppiittuuffoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Brainergy/ppiittuuffoo", 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:
- 15c02d782599eec77b9fbcf0822d6833b1888883aba92bcdb7d278ce1136c0d2
- Size of remote file:
- 681 MB
- SHA256:
- d1243bdb8c40709646a2d10a5d60192bb957804d6da29cdef4eac25afa3bce7f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.