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:
- b5c5dcf2f7e8a93ff7a9a56dc017310f0e7a8c536d8d276776116827ae56b717
- Size of remote file:
- 195 MB
- SHA256:
- 1baac69381ffb318a75c78348862d085ebb17f8fc5d41af4fcc7b326b66df116
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