Instructions to use Azuremis/sd-1-5-therock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Azuremis/sd-1-5-therock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Azuremis/sd-1-5-therock", 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:
- 98de1bd75a4ef7e0d0a418d9a40818b34fc338a1b0a574286af3ae185dc1d57c
- Size of remote file:
- 4.27 GB
- SHA256:
- 169144a82f24c7132317707e5d687c561d6a1100d7e5f6eb49e8342e23287723
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