Instructions to use Disty0/sotediffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/sotediffusion-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/sotediffusion-v2", 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:
- efa496cbcad0e9636ed7a674d405db77778fbe8173a9e5b02aff7334f85d3755
- Size of remote file:
- 3.13 GB
- SHA256:
- a93ec11585520e6c9384ff10ae33866c567121b646a08fae9d0306bed27070c8
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