Instructions to use ShinnosukeU/parameter_v18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v18 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_v18", 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:
- 46c7c09d82083aefc90fa2688a06c3deac970127850e826d1dcce50ab0d308c6
- Size of remote file:
- 492 MB
- SHA256:
- 27af6cc7789e26604b06d8bec5dd4b792b41dc067d3d0a5fc4fefdd628c0a74e
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