Instructions to use ShinnosukeU/parameter_v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v20 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_v20", 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:
- bc94497aa26a6966a97c0127fac2f8288ab11da551fa436958f3119fa033d0b8
- Size of remote file:
- 492 MB
- SHA256:
- 8ed100f2bd8afc5fefd1dbe6b72eb7654e868c8248590f50b27af48846609f52
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