Instructions to use stablediffusionapi/pvc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pvc 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/pvc", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 38256bb52aa4ea992ed95f98bdc4cf7b16c102661222a0e2aa5cdcfd55d61bac
- Size of remote file:
- 1.72 GB
- SHA256:
- 18de5297646d0bbb40b1d30f4fc44f358f6d504edb52e7546579cc8491d5e382
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