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:
- 83f6862ff47f088f87dccf919d9e682f52d2ddfed2bd46989749f50a8e6dde3e
- Size of remote file:
- 276 kB
- SHA256:
- df90ff5237acf6a3cc12827689e60a35f33540976533453c7f15afa6b2d6cbd7
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