Instructions to use ShinnosukeU/parameter_v26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v26 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_v26", 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:
- 577bbc74e292a706dad90dd6ae2aff31edd0992df2a25c03d3775ca8c048d844
- Size of remote file:
- 492 MB
- SHA256:
- d96c563b3070238d7df202b0a27f15685f40885567b94ed8cadda52220348ed0
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