Instructions to use ShinnosukeU/parameter_v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v21 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_v21", 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:
- 439dfbd789c0da2e9e24a869c80bbb9eb49c8a356500110bfc3a7427b89be124
- Size of remote file:
- 492 MB
- SHA256:
- 8878ade2deba287fd2d7af5044d3758f2b44c48ff58d26118c07039c8f04f00b
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