Instructions to use GraydientPlatformAPI/bright-vae-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bright-vae-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/bright-vae-xl", 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
Download diffusion_pytorch_model.bin from GraydientPlatformAPI/bright-vae-xl: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/GraydientPlatformAPI/bright-vae-xl/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/bright-vae-xl/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/bright-vae-xl/resolve/main/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- b626954ed497214f2c00ed2b88f72701d80bf4ec626541fe6df8752645af75ed
- Size of remote file:
- 335 MB
- SHA256:
- 37eb3e09ae1ce3d6891ddf809ca927b618e501091142cf07fdd9cd170e3a046f
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