Instructions to use ShinnosukeU/parameter_v17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v17 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_v17", 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:
- b60c213d43a1f2991e07711c4f045146ef200290894f4b9698250965d977049f
- Size of remote file:
- 492 MB
- SHA256:
- eb96e65db290989a08615c4229e15f9d98167ac69a0f1c2758c384487bfdfbc4
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