Instructions to use GraydientPlatformAPI/vae-anything45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vae-anything45 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/vae-anything45", 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:
- 57767e0ff0db53492b42ed5aba4752d587b0230cfcb22cd27a32aeec0043a20c
- Size of remote file:
- 335 MB
- SHA256:
- 876a906810a8b2470c3092f307742f6ad8b9dbf759fb7c0ff020d0c610c996da
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