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:
- 593408d0c3a24bb9bb513cff2c7473eb908a91e306c7fed789e60e96159e6dea
- Size of remote file:
- 1.74 MB
- SHA256:
- 273d24e19454237567ce2e9827182616342d91f7a73a2889f7c4394555a52617
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