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
Upload diffusion_pytorch_model.bin
Browse files
diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9aa3e66625ecb4e410d73b0d27f7be19ac14dfe6eb21412756ea02468aee59e8
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size 432081
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