Instructions to use stablediffusionapi/v3c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/v3c 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/v3c", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- da609a35305e1f598cfe53e23792b15cc3619fbc64f5a628faf3fb13c2ef42e9
- Size of remote file:
- 246 MB
- SHA256:
- 80657c24c190b4583a8f15f1608b2f22c2533de7cc16dbf1c5c3929fdd3ac087
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