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
krea2_nsfw_v3

- Prompt
- -
Model description
krea2 nsfw 强度:0.8 -> 1 -> 1.2 -> 2
Download model
Download them in the Files & versions tab.
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Model tree for nnndite/krea2nsfwv3
Base model
krea/Krea-2-Raw