Instructions to use jbb/jsonbotv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbb/jsonbotv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jbb/jsonbotv2", 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:
- 87ce95d956a1288b63ee31c13e1c814399a8f044b517df9bb4227f85f5b44a27
- Size of remote file:
- 3.46 GB
- SHA256:
- 2e314eef644b8b23e8a80844db5e4678b5902e73ab1c1d4f44ef2cecde2f839f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.