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", torch_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:
- c5391c46b60a6990fa937dfa4999bad184e863f83d833acc8ca36b10f6f66da3
- Size of remote file:
- 167 MB
- SHA256:
- 594b7ab37c54e59ce7d8cf2bcfcc90fddc133d39f115e7452200a3b6cf998564
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