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:
- e7e83b80b8b521fa4bd5327089caa01756e9e6a5a67b574479049fc51b385a46
- Size of remote file:
- 1.26 MB
- SHA256:
- 6569ecb32433f2f7a00443df6a17561e2704b54fc307dfd79dfb3e4a716db281
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