Instructions to use alibaba-pai/Z-Image-Fun-Controlnet-Union-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VideoX Fun
How to use alibaba-pai/Z-Image-Fun-Controlnet-Union-2.1 with VideoX Fun:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
bubbliiiing commited on
Commit ·
755999a
1
Parent(s): 7f4abdc
Update Tile model
Browse files
README.md
CHANGED
|
@@ -12,7 +12,9 @@ library_name: videox_fun
|
|
| 12 |
| Name | Description |
|
| 13 |
|--|--|
|
| 14 |
| 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. |
|
| 15 |
-
| Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors |
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model Features
|
| 18 |
- 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
|
|
| 120 |
</tr>
|
| 121 |
</table>
|
| 122 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
## Inference
|
| 124 |
Go to the VideoX-Fun repository for more details.
|
| 125 |
|
|
|
|
| 12 |
| Name | Description |
|
| 13 |
|--|--|
|
| 14 |
| 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. |
|
| 15 |
+
| 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. |
|
| 16 |
+
| Z-Image-Fun-Controlnet-Tile-2.1.safetensors | A Tile model trained on high-definition datasets (up to 2048×2048) for super-resolution. |
|
| 17 |
+
| 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. |
|
| 18 |
|
| 19 |
## Model Features
|
| 20 |
- 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.
|
|
|
|
| 122 |
</tr>
|
| 123 |
</table>
|
| 124 |
|
| 125 |
+
<table border="0" style="width: 100%; text-align: left; margin-top: 20px;">
|
| 126 |
+
<tr>
|
| 127 |
+
<td>Low Resolution</td>
|
| 128 |
+
<td>High Resolution</td>
|
| 129 |
+
</tr>
|
| 130 |
+
<tr>
|
| 131 |
+
<td><img src="asset/low_res.jpg" width="100%" /></td>
|
| 132 |
+
<td><img src="results/high_res.png" width="100%" /></td>
|
| 133 |
+
</tr>
|
| 134 |
+
</table>
|
| 135 |
+
|
| 136 |
## Inference
|
| 137 |
Go to the VideoX-Fun repository for more details.
|
| 138 |
|
Z-Image-Fun-Controlnet-Tile-2.1-lite.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b02f4b93f87096d67e8a2ca648b23908bbcdc4b0261b2c511b75bf20903f7100
|
| 3 |
+
size 2016627488
|
Z-Image-Fun-Controlnet-Tile-2.1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba1f93762c4f2751d5d72ec654e37e147bb20e90c8774ce56719eb3f25f4693e
|
| 3 |
+
size 6712485600
|
results/high_res.png
ADDED
|
Git LFS Details
|