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:
- 76a805864e96a917250b983bdc59fae4e0b1c732088ae65c01d5ca8f1165e815
- Size of remote file:
- 1.34 MB
- SHA256:
- fbbe0d5920ed9c347388c414d284b31db54efca3e326692864449b560ff60605
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