Instructions to use kadirnar/pixelparti-128-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/pixelparti-128-v0.2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/pixelparti-128-v0.2", dtype=torch.bfloat16, device_map="cuda") prompt = "pixel art style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1e6b0a998a8eaa285799ef84727469081bb73b9400f76bef040ac753749af00d
- Size of remote file:
- 1.32 MB
- SHA256:
- 32d8c5a602b94c5a3beb3fcd73dad8bd279119daf2b8407ebd9cfdd0daa61bbe
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