Instructions to use imagepipeline/SDXL-Unstable-Diffusers-Divinity-Machine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use imagepipeline/SDXL-Unstable-Diffusers-Divinity-Machine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("imagepipeline/SDXL-Unstable-Diffusers-Divinity-Machine", 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:
- cf315a2519e88b800bc49a11437e0ac1b3cbfc9ef517158232ee12c75fe515b6
- Size of remote file:
- 5.14 GB
- SHA256:
- d5c3912e6ac8794446330a8da4325736b2c08c8f55541830533d7c97fb0f3eb9
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