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:
- 1adf8b090a602a51647fed38c9a05f02a97966b39865d692446c78ab8fe63646
- Size of remote file:
- 1.25 MB
- SHA256:
- 1da328135e3f9951a2b0f620ef46b04d58a508705b40f601b0bc88901ba6ca57
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