VideoX Fun
bubbliiiing commited on
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755999a
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1 Parent(s): 7f4abdc

Update Tile model

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README.md CHANGED
@@ -12,7 +12,9 @@ library_name: videox_fun
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  | Name | Description |
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  |--|--|
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  | Z-Image-Fun-Controlnet-Union-2.1.safetensors | ControlNet weights for Z-Image. The model supports multiple control conditions such as Canny, Depth, Pose, MLSD, Scribble, Hed and Gray. This ControlNet is added on 15 layer blocks and 2 refiner layer blocks. |
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- | Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors | Uses the same training scheme as the 2601 version, but compared to the large version of the model, fewer layers have control added, resulting in weaker control conditions. This makes it suitable for larger control_context_scale values, and the generation results appear more natural. It is also suitable for lower-spec machines. |
 
 
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  ## Model Features
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  - This ControlNet is added on 15 layer blocks and 2 refiner layer blocks (Lite models are added on 3 layer blocks and 2 refiner blocks). It supports multiple control conditions—including Canny, Depth, Pose, MLSD, Scribble, Hed and Gray can be used like a standard ControlNet.
@@ -120,6 +122,17 @@ library_name: videox_fun
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  </tr>
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  </table>
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  ## Inference
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  Go to the VideoX-Fun repository for more details.
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  | Name | Description |
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  |--|--|
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  | Z-Image-Fun-Controlnet-Union-2.1.safetensors | ControlNet weights for Z-Image. The model supports multiple control conditions such as Canny, Depth, Pose, MLSD, Scribble, Hed and Gray. This ControlNet is added on 15 layer blocks and 2 refiner layer blocks. |
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+ | Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors | Compared to the large version of the model, fewer layers have control added, resulting in weaker control conditions. This makes it suitable for larger control_context_scale values, and the generation results appear more natural. It is also suitable for lower-spec machines. |
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+ | Z-Image-Fun-Controlnet-Tile-2.1.safetensors | A Tile model trained on high-definition datasets (up to 2048×2048) for super-resolution. |
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+ | Z-Image-Fun-Controlnet-Tile-2.1-lite.safetensors | Applied control latents to fewer layers, resulting in weaker control. This allows for larger control_context_scale values with more natural results, and is also better suited for lower-spec machines. |
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  ## Model Features
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  - This ControlNet is added on 15 layer blocks and 2 refiner layer blocks (Lite models are added on 3 layer blocks and 2 refiner blocks). It supports multiple control conditions—including Canny, Depth, Pose, MLSD, Scribble, Hed and Gray can be used like a standard ControlNet.
 
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  </tr>
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  </table>
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+ <table border="0" style="width: 100%; text-align: left; margin-top: 20px;">
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+ <tr>
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+ <td>Low Resolution</td>
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+ <td>High Resolution</td>
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+ </tr>
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+ <tr>
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+ <td><img src="asset/low_res.jpg" width="100%" /></td>
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+ <td><img src="results/high_res.png" width="100%" /></td>
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+ </tr>
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+ </table>
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+
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  ## Inference
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  Go to the VideoX-Fun repository for more details.
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Z-Image-Fun-Controlnet-Tile-2.1-lite.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:b02f4b93f87096d67e8a2ca648b23908bbcdc4b0261b2c511b75bf20903f7100
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+ size 2016627488
Z-Image-Fun-Controlnet-Tile-2.1.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ba1f93762c4f2751d5d72ec654e37e147bb20e90c8774ce56719eb3f25f4693e
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+ size 6712485600
results/high_res.png ADDED

Git LFS Details

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