Instructions to use msoz7/stableDiffusionVasc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msoz7/stableDiffusionVasc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("msoz7/stableDiffusionVasc", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 024c4ed5949bb4b035004c78d40d4a0d4dedcbb2800da6e9e9527805a98107bc
- Size of remote file:
- 492 MB
- SHA256:
- b6cc02ee4daa3059b83d560bf8714bac13374320bbb9fa4f2f85dc2ef252e6aa
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