Instructions to use taraxis/nekolora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/nekolora1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("taraxis/nekolora1") prompt = "nkoctst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from taraxis/nekolora1: direct link, hf CLI and curl.
- Browser
- Download file 4 MB
-
https://huggingface.co/taraxis/nekolora1/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://taraxis/nekolora1/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taraxis/nekolora1/resolve/main/checkpoint-2000/optimizer.bin
4 MB
- Xet hash:
- 5022170caa969150ac24652ed27a746f0b55a756256eb4e5a3ba3d31dc0aa2f3
- Size of remote file:
- 4 MB
- SHA256:
- 51211322f44ba099aa30dd94f95bb437557ea7c4eed9443eeb0405cd0342974b
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