Instructions to use refabric/general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use refabric/general with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("refabric/general", 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:
- ab1c94e71d363a167ebe87aac965245d8265a49d951ee008fb3af766923b22e2
- Size of remote file:
- 3.46 GB
- SHA256:
- f1ebb50a1aea910ad259c0e3a9ca41c6464dcb368dbbba7d1bafdd6495b566a6
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