Instructions to use OzzyGT/Kimodo_SOMA_Modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/Kimodo_SOMA_Modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/Kimodo_SOMA_Modular", 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
Download __init__.py from OzzyGT/Kimodo_SOMA_Modular: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/OzzyGT/Kimodo_SOMA_Modular/resolve/main/__init__.py
- Command line
-
hf download hf://OzzyGT/Kimodo_SOMA_Modular/__init__.py
-
curl -L -o __init__.py https://huggingface.co/OzzyGT/Kimodo_SOMA_Modular/resolve/main/__init__.py
77 Bytes
| from .modular_blocks_kimodo import KimodoBlocks | |
| __all__ = ["KimodoBlocks"] | |