| --- |
| 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> |
| <tr> |
| <td> |
| <br> |
| |
| # See us on the [Leaderboard ⇗](https://huggingface.co/spaces/FlameF0X/Tiny-T2I-Leaderboard) |
| |
| </td> |
| </tr> |
| </table> |
|
|
| <table> |
| <tr> |
| <td> |
| <br> |
| |
| # Blog post [read it here ⇗](https://huggingface.co/spaces/bench-labs/blog?post=Pm2and3.html) |
| |
| </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 |
|
|
|  |
