Instructions to use oaaoaa/mask_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oaaoaa/mask_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("oaaoaa/mask_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:
- 99570a0bb36d2f06ec8012a24eadca2d0c4718046771abbc1808a72ea89d3ae1
- Size of remote file:
- 432 kB
- SHA256:
- 9aa3e66625ecb4e410d73b0d27f7be19ac14dfe6eb21412756ea02468aee59e8
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