Instructions to use PrunaAI/p-image-pixel-art-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/p-image-pixel-art-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PrunaAI/p-image-pixel-art-lora") prompt = "pixel art style A character with spiky hair and a red jacket standing in a neon-lit city street at night." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e43cd7e87ee129851f0b492a81e970a8235012d5b87df5c0152b1f445e583a03
- Size of remote file:
- 304 kB
- SHA256:
- 71857f1dc91ad7f0757136a894bee047bf1b5e11f90884c6ff37b5f21fb2b32c
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