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
- Draw Things
- DiffusionBee
- Xet hash:
- b8757fdd145a3e7f63269515264657535e411633f9c60c644560f41034c39ad8
- Size of remote file:
- 167 MB
- SHA256:
- 68aff48de8e14c5eabf705ea6f2b89ae70516429877836fec45ddb0b5554aae8
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