Instructions to use ShinnosukeU/parameter_v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v13 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_v13", 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:
- 47ae8723d02ca3e5abb9c9828d356af50cbb8f58c08ebc69ac9cda029664ed86
- Size of remote file:
- 492 MB
- SHA256:
- e772824b75466021930007de02e38c4696560b1893629ed6f3c9556114c793a6
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