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:
- 02aed1fb49a80568ba1727942d57a49c2f50347291ddfd2022cd90d15f345110
- Size of remote file:
- 1.7 MB
- SHA256:
- 4e6a5bc7903bb7317a7c62dc0d18b57202a4d70743c3965580ef4f6eb3256949
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