Instructions to use stablediffusionapi/aipaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/aipaint 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/aipaint", 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:
- f5825e60693eebddc4ea3da139170aea0384daf95ad87b879aed6a48bc166af6
- Size of remote file:
- 246 MB
- SHA256:
- 7f4e5868940bbf146a723d8a89d0c8245503adf08142ec38d8a60259bf4ed212
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