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
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images/e52b37ba1282ec00a789623e6b24bf46.png
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Git LFS Details
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krea2_nsfw_v3.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ec564e04eed317ae24093b4907004ac59a7c528d19d025bb41b4d719c4d16ec
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size 457111960
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