Instructions to use ShinnosukeU/parameter_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v2 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_v2", 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:
- 2cbf9f458ddb74469ee032ee73c7ccca901ccd5bf84bd4a20c7b2f561becce7d
- Size of remote file:
- 3.44 GB
- SHA256:
- 7bccc0f0f3d7a65e294ed3e13114d55868c8c7b05b5fd11ef9368b6301cb2717
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