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:
- e15cedbe98eda4451fb19f626cf4161d7efd61e3c50a9c0ae9c4d26a56207587
- Size of remote file:
- 3.44 GB
- SHA256:
- a445ec8e9d078816018b036ae3525f1cc89ae8eb58360cdbb908b499cd116c6c
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