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:
- 847fbccb4730bed18c5c58bfbd3a65d5dcec32796aca66f4524446cbee110b9d
- Size of remote file:
- 1.38 MB
- SHA256:
- 5aba2346e5ad20d1aadb67618d05900774e7163707d0378dbaca5684132c35a8
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