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 modular_config.json from OzzyGT/Kimodo_SOMA_Modular: direct link, hf CLI and curl.
- Browser
- Download file 194 Bytes
-
https://huggingface.co/OzzyGT/Kimodo_SOMA_Modular/resolve/main/modular_config.json
- Command line
-
hf download hf://OzzyGT/Kimodo_SOMA_Modular/modular_config.json
-
curl -L -o modular_config.json https://huggingface.co/OzzyGT/Kimodo_SOMA_Modular/resolve/main/modular_config.json
194 Bytes
| { | |
| "_class_name": "KimodoBlocks", | |
| "_diffusers_version": "0.41.0", | |
| "auto_map": {"ModularPipelineBlocks": "modular_blocks_kimodo.KimodoBlocks"}, | |
| "requirements": {"diffusers": ">=0.41.0"} | |
| } | |