Instructions to use launch-calcium/N1GHT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use launch-calcium/N1GHT 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("launch-calcium/N1GHT") prompt = "Cat, blue fur, no humans,furry, masterpiece, best quality, newest, detailed background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from launch-calcium/N1GHT: direct link, hf CLI and curl.
- Browser
- Download file 118 MB
-
https://huggingface.co/launch-calcium/N1GHT/resolve/main/optimizer.pt
- Command line
-
hf download hf://launch-calcium/N1GHT/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/launch-calcium/N1GHT/resolve/main/optimizer.pt
118 MB
- Xet hash:
- 9b8b17942db8841bf4e7f1ac1ef14d83132961505cbaa63db781052640d594f4
- Size of remote file:
- 118 MB
- SHA256:
- 49786b448fba6445788bd918385aed16267b8b607800869394f13bc732971b35
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