Instructions to use KBlueLeaf/EQ-SDXL-VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KBlueLeaf/EQ-SDXL-VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KBlueLeaf/EQ-SDXL-VAE", 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

- Xet hash:
- e75014b3668dbc8b5d3a1c9edf5bc7f5160eaecddac2548f4210f4243d7a1ecf
- Size of remote file:
- 1.67 MB
- SHA256:
- bcf5366a5f25b306a5c6bcd5918f240ed4c1c599a5dc2dd022b3bcdbddd19ef7
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