Instructions to use ShinnosukeU/parameter_v24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v24 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_v24", 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:
- ee2bc9a55ab0d972923421d7997fa789dc783f589f97706ef1cc6c63f03354c3
- Size of remote file:
- 492 MB
- SHA256:
- 89a57d5d247f81b3e3fef06b4613b866fe793e4ca630d9d39e6fde0161a502ba
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