Instructions to use saik0s/p0ar4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saik0s/p0ar4 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("saik0s/p0ar4") prompt = "A futuristic cyberpunk city street drenched in neon rain, featuring a holographic p0ar4 floating above a crowded marketplace." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 49b71dad1e73e680035c75fd1eaf17527253ee17f56f2f48656a9ddb474cd48d
- Size of remote file:
- 195 MB
- SHA256:
- a199106e027824bf26f67562ac13a39d597d2548b0f5a25961b14f2259ff60bd
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