Instructions to use ShinnosukeU/parameter_v12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v12 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShinnosukeU/parameter_v12", 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:
- b86b5821c8a4bd25f1005abd64cc23ce4640de87b659ba21a954169387bb35d6
- Size of remote file:
- 492 MB
- SHA256:
- ae72e12981247ff442bcf46345bb989e822abfbbf9d88da6a1541f288aaf6a28
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