Instructions to use stablediffusionapi/meinakizuki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/meinakizuki with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/meinakizuki", 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:
- 17b052bc9a7e3ea322e4945101db12f78cd9c0d6e3c895894fb6718df86670ba
- Size of remote file:
- 246 MB
- SHA256:
- 20046cc27c59b0355eb424b828b8e6a602737deeb28b19482915d4525db5d2b5
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