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:
- f4669c49c6e47e5361992b68cb8bb4aba0bee842fd84fdac26c06e85d4a11bfe
- Size of remote file:
- 3.44 GB
- SHA256:
- b8e5b36a6f8610bcf9941de69304adc09749d34fb19ccddfac0ac7a93104f841
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