Instructions to use SYZhang0805/DisBack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SYZhang0805/DisBack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SYZhang0805/DisBack", 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:
- 6a91728fbdd2c672fe72596c9af151cf792784141f29f81d92f9510a80455d48
- Size of remote file:
- 5.14 GB
- SHA256:
- 5cecf19bc90fa00b5dd4d8d223ac84d7c5fc32f6b36305ec4139ebb86ba718a3
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