Instructions to use ShinnosukeU/parameter_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v4 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_v4", 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:
- ff657681d09019402f2d8df9cc3de61c51a941a458720f5c1d0e4ccd554e5091
- Size of remote file:
- 492 MB
- SHA256:
- c0a9a88dbed0d8f8a677db1ba184b1052968006497d2832a23ebc5e93a2a23db
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