Instructions to use stablediffusionapi/yayoimix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/yayoimix 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/yayoimix", 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
- Draw Things
- DiffusionBee
- Xet hash:
- b8a7863f2b7fcd9154aa970fac0bf12a4447d6b9fe86136eba0b98a4e1c10c81
- Size of remote file:
- 246 MB
- SHA256:
- 252d4894ac5a26dfb3485052620014f9ce392baf4203b27e2e94db8aea118e51
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