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
Download images/example_001.png from PrunaAI/p-image-pixel-art-lora: direct link, hf CLI and curl.
- Browser
- Download file 211 kB
-
https://huggingface.co/PrunaAI/p-image-pixel-art-lora/resolve/main/images/example_001.png
- Command line
-
hf download hf://PrunaAI/p-image-pixel-art-lora/images/example_001.png
-
curl -L -o example_001.png https://huggingface.co/PrunaAI/p-image-pixel-art-lora/resolve/main/images/example_001.png
211 kB
- Xet hash:
- 732ffb4100fcd775991e31ea4fbb83c866f63d9ccf09324145d89b0fa9b4c5ee
- Size of remote file:
- 211 kB
- SHA256:
- 0787c46dfd045a1078ca214a8057eaabea3468b21436c212d18148989fe5189a
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