Instructions to use p1atdev/Realgar-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/Realgar-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("p1atdev/Realgar-v1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f8822379b26b883ad7cbe95948474bdb7f046fe74ae92115ec5c08ed69608698
- Size of remote file:
- 681 MB
- SHA256:
- 3b24ee14d6404d40aece5aa40d1199d12784d076bda6459a813406586e0c8e18
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