Instructions to use ShinnosukeU/parameter_v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v10 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_v10", 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:
- 092dd986931ca618ba422e67cfe7f3494d45a9ef5ae5a8dbe310999313150f0e
- Size of remote file:
- 492 MB
- SHA256:
- 63e2081b3d1ccb916dbb53ef166c2ae711c9c0d4e2cfd160bc2ef63f24e78dd3
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