Instructions to use stablediffusionapi/mverug7bhds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/mverug7bhds with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/mverug7bhds", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 288f359ca587a65b607dd1f75bebdc071ae7f97ba97bca8ef2d362b5b8b11df7
- Size of remote file:
- 246 MB
- SHA256:
- 0cc8861a6234b089b40b6e226fb0fbdb6c9d70077a2ceb792c82bd5fcc566c0f
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