mnemic commited on
Commit
57074f8
·
verified ·
1 Parent(s): 87c4911

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -5
README.md CHANGED
@@ -3,16 +3,17 @@
3
  ---
4
 
5
  **This model is only meant for research purposes.**
6
-
7
- A Yolov8 detection model that detects comic book speech bubbles and sound effects in images.
8
-
9
- The model can be used as an [ADetailer](https://github.com/Bing-su/adetailer) model (for [Automatic1111](https://github.com/AUTOMATIC1111/) / Stable Diffusion use), or using other [inference scripts](https://github.com/MNeMoNiCuZ/yolov8-scripts) to return detection bounding boxes of watermarks.
10
-
11
  The model is entirely trained on the following dataset:
12
  [yolomanga/speechballoon_comic](https://universe.roboflow.com/yolomanga/speechballoon_comic)
13
  However, since the dataset is created entirely out of Marvel comic book panels, I think the original author cannot licence the images as CC4.
14
  I do not think this model can ba used commercially either.
15
 
 
 
 
 
 
 
16
 
17
  A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this [CivitAI article](https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model).
18
 
 
3
  ---
4
 
5
  **This model is only meant for research purposes.**
 
 
 
 
 
6
  The model is entirely trained on the following dataset:
7
  [yolomanga/speechballoon_comic](https://universe.roboflow.com/yolomanga/speechballoon_comic)
8
  However, since the dataset is created entirely out of Marvel comic book panels, I think the original author cannot licence the images as CC4.
9
  I do not think this model can ba used commercially either.
10
 
11
+ ----
12
+
13
+
14
+ A Yolov8 detection model that detects comic book speech bubbles and sound effects in images.
15
+
16
+ The model can be used as an [ADetailer](https://github.com/Bing-su/adetailer) model (for [Automatic1111](https://github.com/AUTOMATIC1111/) / Stable Diffusion use), or using other [inference scripts](https://github.com/MNeMoNiCuZ/yolov8-scripts) to return detection bounding boxes of watermarks.
17
 
18
  A small tutorial on how to use the model can be found on this Github: https://github.com/MNeMoNiCuZ/yolov8-scripts or this [CivitAI article](https://civitai.com/articles/4080/training-a-custom-adetailer-model-with-yolov8-detection-model).
19