Instructions to use ShinnosukeU/parameter_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v3 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_v3", 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:
- 9b0bd4562491f8c38de3c01af025c86ea9c093a5eb37a1f2f8bbed5fd932307e
- Size of remote file:
- 3.44 GB
- SHA256:
- a191b29d5bbe5bc631d40baaa66bc2aa67d59c4dff9cebdc8aa4e132b74f2ef6
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