pixelparti-128-v0.1 / README.md
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---
license: apache-2.0
dataset_info:
features:
- name: image
dtype: image
splits:
- name: train
num_bytes: 34521297.512
num_examples: 4836
download_size: 34764278
dataset_size: 34521297.512
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
<img src="https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/Ufp7Ec0nfJblft2VXXZBa.png" width="512" height="512">
**PixelParti128** is a synthetic dataset derived from SDXL Turbo and Pixel Art XL.
Contains 4 samples of each prompt in <a href="https://github.com/google-research/parti">PartiPrompts</a>
PixelParti128 v0.1 is a collection of ~4800 synthetic samples with their corresponding prompt and seed. Each sample is downscaled and quantized to 128px making them pixel perfect.
## Replication
You can replicate this dataset using SDXL Turbo with Pixel Art XL, 8 steps of Euler a, CFG = 1 and Diffusers.
<img src="https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/GUDdifE0G2NQxOTX9zl0t.jpeg" width="512" height="512">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/rgEcDVHYjRPLf1NZ5Hssq.jpeg" width="512" height="512">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6303f37c3926de1f7ec42d3e/yJEWENiVtNqO-yr7Kp4ul.jpeg" width="512" height="512">