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:
- 28d3f5e7023659089cf2210796c24939ac9212edea6aa8ab11cea26e0d34c8d3
- Size of remote file:
- 1.28 MB
- SHA256:
- 0a3d345415987099f4b66d0c8ff9f78443988c0db3dad8107b47c2205a145e19
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.