Instructions to use nnndite/krea2nsfwv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/krea2nsfwv3 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("nnndite/krea2nsfwv3") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/e52b37ba1282ec00a789623e6b24bf46.png from nnndite/krea2nsfwv3: direct link, hf CLI and curl.
- Browser
- Download file 1.3 MB
-
https://huggingface.co/nnndite/krea2nsfwv3/resolve/main/images/e52b37ba1282ec00a789623e6b24bf46.png
- Command line
-
hf download hf://nnndite/krea2nsfwv3/images/e52b37ba1282ec00a789623e6b24bf46.png
-
curl -L -o e52b37ba1282ec00a789623e6b24bf46.png https://huggingface.co/nnndite/krea2nsfwv3/resolve/main/images/e52b37ba1282ec00a789623e6b24bf46.png
1.3 MB

- Xet hash:
- f0811e2a192be48d8b58c3d590fba5628d8f1586067f39440ebe7273f39f507b
- Size of remote file:
- 1.3 MB
- SHA256:
- 1df00cf2eb8520ccc1034b825b729ad79ebbcbc8f04630a687e4f8f2aecac9e1
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