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:
- db27464248069625fff7f0790724e6763559da158af6dee955699b6a8dff28c6
- Size of remote file:
- 167 MB
- SHA256:
- cee08161ae19bd5bf69edfd938ff386ad8d942e9cf73a362efadf1baaa5c3374
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