Instructions to use kadirnar/pixelparti-128-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/pixelparti-128-v0.1 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-v0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "model is wearing" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a9fb2042bfdafb2cd9b0a9dcb342fd407d99573086643d423cf0b191d74ed8ec
- Size of remote file:
- 9.6 MB
- SHA256:
- aa35a1ee75ae3f7e640899ac3c7b020c67fb3e577ca20904874dee376d51881e
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