Instructions to use aimalias/j4n4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/j4n4 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/j4n4") prompt = "A J4N4 woman dressed in iridescent bioluminescent armor, standing amidst a neon-lit cyberpunk rainforest with floating holographic fish." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9e5fb9fe9bdfb2e40cd2d2e8551fcfb0988ade71b90d6764177dcb7d5e1470c2
- Size of remote file:
- 195 MB
- SHA256:
- b77ebbb263da20bc9cf00f0216e2cf1b29757c897f5ffe7fc9b6f2da3f2936e8
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