Instructions to use ShinnosukeU/parameter_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v6 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_v6", 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:
- 2074f07716d7731120e6dacda142accf173b02e500a6f5a2ad0b52eb74b9a532
- Size of remote file:
- 3.44 GB
- SHA256:
- ba7b6b3685473e032b5fe996eb7a274cb723d227fa4cb4118dec28a06bccc58b
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