Instructions to use ShinnosukeU/parameter_v15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v15 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_v15", 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:
- 9ea20c16b7c9c848087cb627ff84b4d3c59d03ff4e6164485fa948401d2cb590
- Size of remote file:
- 492 MB
- SHA256:
- 559ecc106e4978a9718f37ab824d0bef07486e6b86804986a347797e5c0ad08b
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