Instructions to use kadirnar/pixelparti-128-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/pixelparti-128-v0.3 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-v0.3", 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
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README.md
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output:
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url: image_3.png
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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output:
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url: image_3.png
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datasets:
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- nerijs/pixelparti-128-v0.1
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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