Instructions to use NeedAHugNOW/City-Pop-LoKr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NeedAHugNOW/City-Pop-LoKr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NeedAHugNOW/City-Pop-LoKr") prompt = "two samurais in flowing robes doing a muay thai fight, one throws a high kick while the other leans back." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/base.png from NeedAHugNOW/City-Pop-LoKr: direct link, hf CLI and curl.
- Browser
- Download file 1.81 MB
-
https://huggingface.co/NeedAHugNOW/City-Pop-LoKr/resolve/main/images/base.png
- Command line
-
hf download hf://NeedAHugNOW/City-Pop-LoKr/images/base.png
-
curl -L -o base.png https://huggingface.co/NeedAHugNOW/City-Pop-LoKr/resolve/main/images/base.png
1.81 MB

- Xet hash:
- 4ea80c01380025050042157e66f72b39c6cd3b43e9376251a4a43532fe6db1ce
- Size of remote file:
- 1.81 MB
- SHA256:
- fc768becf8977b34bcf4f18325feb96a934b5f6d099f63e82c78811cf4e9033c
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