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:
- f169d05ae1589b158e48bce621c50a0114bc1a55702f2c7ccb379d0dec4d59e8
- Size of remote file:
- 1.72 GB
- SHA256:
- 669f471852f479e965a541dcc12a6619a548055671372a8a37017b99f80ec63e
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