Instructions to use ShinnosukeU/parameter_v16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v16 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_v16", 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:
- 972b4fcd096484fb57f0fac0a2b898ed6176b3cac4be4a582b89149c466be9e5
- Size of remote file:
- 492 MB
- SHA256:
- 513668a7b869f67e9bf8543f96a8d160d7897789d7f13c692f50f96aec79df94
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