Instructions to use aimalias/sj0h4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/sj0h4 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/sj0h4") prompt = "A cinematic shot of a SJ0H4 woman in futuristic neon armor standing amidst the rain-slicked streets of a cyberpunk Tokyo metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 21378f36cb86779671240a0502506a896b2ac031c10b67a0d9a1a554db845e26
- Size of remote file:
- 195 MB
- SHA256:
- 1b459fbf2451cce8cc8e6fc75578a0164c859c452b786d3e44dde79198017d7e
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