Instructions to use hjgp/setting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/setting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/setting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dacde4b4259e10c00cf560366688371fe8b903780a72f763acb707e8ebb9f30c
- Size of remote file:
- 2.5 GB
- SHA256:
- ea3770af4c33ea8ba8dccc0106ec5d5c5c6e504eb382119a3ccac3c9d973d344
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