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", torch_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:
- 10b666eb13f326490b96faa8464760d93794e81561c6adc181a13950a0a8f088
- Size of remote file:
- 1.72 GB
- SHA256:
- 17e0396981f31a20084ebac1c458a5bb03dedb60a900997ef917ba06b093d53b
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