Instructions to use aimalias/jg4s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/jg4s 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/jg4s") prompt = "A JG4S woman wearing a shimmering silver space suit, standing on the iridescent sands of a neon-lit alien planet under three moons." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d2ce30405b38577730675a34a2ec6f58b0e0a35e284ce0e5909cbc1fb3b4ef86
- Size of remote file:
- 1.36 MB
- SHA256:
- 46d6c1c73fafdc1b9e43a321f69aa2630258a396a20e9bb9f754de5c462a833f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.