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license: mit
pipeline_tag: text-to-image
language:
- en
tags:
- image
- t2i
- text-to-image
- custom-code
- tiny
model-index:
- name: PixelModel-v2
results:
- task:
type: text-to-image
dataset:
name: fid
type: fid
metrics:
- name: fid
type: fid
value: 390.68
- task:
type: text-to-image
dataset:
name: clip
type: clip
metrics:
- name: clip
type: clip
value: 20.48
new_version: bench-labs/PixelModel-v3
---
<table align="center">
<tr>
<td align="center">
<a href="https://huggingface.co/spaces/bench-labs/BenchLabs-Leaderboard">🏆 BenchLabs Leaderboard</a> •
<a href="https://huggingface.co/spaces/FlameF0X/Tiny-T2I-Leaderboard">🌍 Tiny-T2I Leaderboard</a> •
<a href="https://huggingface.co/spaces/bench-labs/blog?post=Pm2and3.html">📝 Blog Post</a>
</td>
</tr>
</table>
# PixelModel v2 🖼️
<img src="model.png" alt="The entire PixelModel v1: a 160x149 PNG containing all 23,747 weights" style="image-rendering: pixelated; width: 320px; max-width: 100%;">
A neural network where the weights **are** the image. Scaled up.
Consider looking at previous versions for more context.
23k parameters -> 200k parameters (thats the only change)
## demo images
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