Instructions to use Muapi/standing-split with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/standing-split with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/standing-split") 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
Download standing-split.safetensors from Muapi/standing-split: direct link, hf CLI and curl.
- Browser
- Download file 129 MB
-
https://huggingface.co/Muapi/standing-split/resolve/main/standing-split.safetensors
- Command line
-
hf download hf://Muapi/standing-split/standing-split.safetensors
-
curl -L -o standing-split.safetensors https://huggingface.co/Muapi/standing-split/resolve/main/standing-split.safetensors
129 MB
- Xet hash:
- 8bbbc740b816d6a2ab658ffa3742ed2c8539e9cde1304422a38077d8ff878bd9
- Size of remote file:
- 129 MB
- SHA256:
- 5c8b7168279782a21c8c918126748415fe6757a8b446c3213aaaa04891091b8b
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