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:
- 74db66babc32df176865d3db00d2ad87d5546a59482128450051603dfe3216f4
- Size of remote file:
- 246 MB
- SHA256:
- 95f066ed709d040444e10d1e9254176da240767a585d5d219f4d85b9734b86bf
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