Instructions to use ShinnosukeU/parameter_v23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v23 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_v23", 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:
- ee1cf25f889571389cc84f9c93e8ce1d2f547b69ca21fd56e50db6d144c81f3e
- Size of remote file:
- 492 MB
- SHA256:
- 155ae063a5b5d3a4ffbc4adfc0e5f6335a011edbe2c559942fdaed651c0a238f
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