Instructions to use msoz7/stableDiffusionNv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msoz7/stableDiffusionNv 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/stableDiffusionNv", 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:
- 465344b2409dea74b58dffd8c5d87358efbf91a948424989c4cd9f6a07bd28b5
- Size of remote file:
- 492 MB
- SHA256:
- d9cc0cd9ab23158eb5031adfb91b3ca539cf04ff5a3eb9490b1f2931a5caa651
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