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:
- 7c2cae8f5f4ad65360910efa7cea1ab91d0ef3521df0d9d07d22891ab7715ca8
- Size of remote file:
- 195 MB
- SHA256:
- 9f2b0392296b4fae8d8aa02eb7673003224f13139b680b8664fdf7df796c91cb
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