Instructions to use sinkinai/GhostMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sinkinai/GhostMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sinkinai/GhostMix", 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:
- 9499668efa6833b26a62ab81a983f970afe6290e1eee6ff54ca3e381dc4213ef
- Size of remote file:
- 335 MB
- SHA256:
- 0fe6b96d3d6ae5a6c39f9c830da4e621225b100d91bfead4e54921a9afbfcc22
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.