Instructions to use Sanster/PowerPaint_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sanster/PowerPaint_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sanster/PowerPaint_v2", 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
Download context-aware_result.png from Sanster/PowerPaint_v2: direct link, hf CLI and curl.
- Browser
- Download file 404 kB
-
https://huggingface.co/Sanster/PowerPaint_v2/resolve/main/context-aware_result.png
- Command line
-
hf download hf://Sanster/PowerPaint_v2/context-aware_result.png
-
curl -L -o context-aware_result.png https://huggingface.co/Sanster/PowerPaint_v2/resolve/main/context-aware_result.png
404 kB
