Instructions to use gabehubner/vae-256px-8z with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gabehubner/vae-256px-8z with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gabehubner/vae-256px-8z", 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
Commit History
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Full dataset evaluation with FID, LPIPS, ID similarity and 8x8 recon grid
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Full dataset evaluation with FID, LPIPS, ID similarity and 8x8 recon grid
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Full dataset evaluation with FID, LPIPS, ID similarity and 16x16 recon grid
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Add FID, LPIPS, ID similarity and reconstruction images
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Delete input_grid.png
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Add evaluation results and reconstructions
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