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PanelPainter-Project

Image-to-Image
Diffusers
TensorBoard
lora
manga
coloring
anime
qwen
dataset
Model card Files
xet
Metrics Community
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README.md CHANGED
@@ -13,12 +13,53 @@ tags:
13
  viewer: false
14
  ---
15
 
 
 
 
 
16
  # PanelPainter-Project
17
 
18
- **PanelPainter-Project** is the central repository for the PanelPainter manga coloring LoRAs.
19
 
20
  This project is dedicated to training LoRAs to automate the coloring of black-and-white manga panels. I am releasing all the files here, including datasets, logs, and experimental versions, so others can see exactly how it was trained.
21
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  ## Project Structure
23
 
24
  This repository contains everything used to create the models:
@@ -26,6 +67,9 @@ This repository contains everything used to create the models:
26
  ### 1. LoRA Models (`/loras`)
27
  This directory contains the model weights for all iterations of the project:
28
 
 
 
 
29
  * **V3 (Latest Release):** `PanelPainter_v3_Qwen2511.safetensors`
30
  * **Base:** Qwen Image Edit 2511
31
  * **Note:** The latest model trained on the expanded 903-image dataset.
@@ -39,11 +83,16 @@ This directory contains the model weights for all iterations of the project:
39
  ### 2. Training Logs (`/logs`)
40
  **Content:** Tensorboard logs and charts from my training runs. You can check these to see how the loss converged and how the model learned over time for each version.
41
 
42
- ### 3. Training Dataset
 
 
 
43
  The datasets used for this project are hosted separately:
44
 
45
  * **PanelPainter-Dataset**
46
- * Contains the curated image pairs used for training the active versions.
 
 
47
 
48
  ---
49
 
@@ -53,7 +102,7 @@ The datasets used for this project are hosted separately:
53
  * **Status:** Released.
54
  * **Base Architecture:** Qwen 2511.
55
  * **Strategy:** Scaling Up High-Quality Data.
56
- * **Dataset:** Expanded to 903 images.
57
  * **Summary:** This version combines the correct "real line art" training method discovered in V2 with a significantly larger dataset. This improves the model's ability to generalize across different manga styles while maintaining the color quality of V2.
58
 
59
  ### Version 2.0
@@ -74,7 +123,7 @@ The datasets used for this project are hosted separately:
74
 
75
  ## Training Configuration (V3)
76
 
77
- **Hardware:** Trained on an A40 GPU on Runpod for approximately two days.
78
 
79
  Below is the exact accelerate command used to train the V3 model on Musubi Tuner:
80
 
@@ -110,17 +159,19 @@ accelerate launch --num_cpu_threads_per_process 1 --mixed_precision bf16 \
110
  --sdpa
111
  ```
112
 
113
- ## Data Privacy & License
 
 
114
 
115
- * **Project License:** Apache 2.0
116
- * **Dataset Disclaimer:** The /dataset folder contains copyrighted manga panels.
117
- * **For Learning Only:** I am sharing this strictly to show how the model was trained.
118
- * **Copyright:** The original art belongs to the creators/publishers.
119
- * **No Selling:** Please do not sell or repackage these images.
120
 
121
  ## Acknowledgements
122
 
123
  Trained on Musubi Tuner. Thanks to kohya-ss.
124
 
 
 
125
  ## External Links
126
  * **Public Model Page:** [Civitai: PanelPainter](https://civitai.com/models/2103847/panelpainter-manga-coloring)
 
13
  viewer: false
14
  ---
15
 
16
+ <p align="center">
17
+ <img src="images/logo.png" alt="PanelPainter Logo" width="400">
18
+ </p>
19
+
20
  # PanelPainter-Project
21
 
22
+ **PanelPainter-Project** is an open-source initiative to automate black-and-white manga coloring using fine-tuned LoRAs.
23
 
24
  This project is dedicated to training LoRAs to automate the coloring of black-and-white manga panels. I am releasing all the files here, including datasets, logs, and experimental versions, so others can see exactly how it was trained.
25
 
26
+ ## Showcase
27
+
28
+ Here are some examples comparing the original panel, the base Qwen Image Edit model, and the result with the PanelPainter V3 LoRA.
29
+
30
+ > [!NOTE]
31
+ > **Showcase Generation Settings:**
32
+ > * **LoRAs:** PanelPainter V3 (Weight: 1.0) + 4-Step Lighting (Weight: 1.0)
33
+ > * **Steps:** 4
34
+ > * **Sampler:** Euler
35
+ > * **Scheduler:** Simple
36
+ > * **Seed:** 1000
37
+ > * **CFG:** 1.0
38
+
39
+ <p align="center">
40
+ <img src="images/Sample_Image_1.png" alt="Chainsaw Man Showcase">
41
+ <br>
42
+ <em>Chainsaw Man</em>
43
+ </p>
44
+
45
+ <p align="center">
46
+ <img src="images/Sample_Image_2.png" alt="Frieren Showcase">
47
+ <br>
48
+ <em>Frieren</em>
49
+ </p>
50
+
51
+ <p align="center">
52
+ <img src="images/Sample_Image_3.png" alt="Komi Showcase">
53
+ <br>
54
+ <em>Komi Can't Communicate</em>
55
+ </p>
56
+
57
+ <p align="center">
58
+ <img src="images/Sample_Image_4.png" alt="Oshi no Ko Showcase">
59
+ <br>
60
+ <em>Oshi no Ko</em>
61
+ </p>
62
+
63
  ## Project Structure
64
 
65
  This repository contains everything used to create the models:
 
67
  ### 1. LoRA Models (`/loras`)
68
  This directory contains the model weights for all iterations of the project:
69
 
70
+ > [!TIP]
71
+ > **Trigger Word:** `Color this panelpainter` (Applicable for both V2 and V3)
72
+
73
  * **V3 (Latest Release):** `PanelPainter_v3_Qwen2511.safetensors`
74
  * **Base:** Qwen Image Edit 2511
75
  * **Note:** The latest model trained on the expanded 903-image dataset.
 
83
  ### 2. Training Logs (`/logs`)
84
  **Content:** Tensorboard logs and charts from my training runs. You can check these to see how the loss converged and how the model learned over time for each version.
85
 
86
+ ### 3. Workflows (`/workflows`)
87
+ **Content:** ComfyUI workflow JSON files to help you get started with PanelPainter.
88
+
89
+ ### 4. Training Dataset
90
  The datasets used for this project are hosted separately:
91
 
92
  * **PanelPainter-Dataset**
93
+
94
+ > [!NOTE]
95
+ > **Coming Soon:** The V3 dataset was a good learning step for captioning, but it was randomly picked without any streamlined curation roughly 50% doujin and 50% mainstream colored manga. We're refining it further. Expect handpicked panels, better captions, and reduced doujin content. Release coming once quality standards are met.
96
 
97
  ---
98
 
 
102
  * **Status:** Released.
103
  * **Base Architecture:** Qwen 2511.
104
  * **Strategy:** Scaling Up High-Quality Data.
105
+ * **Dataset:** Expanded to 903 images. Recreated from scratch, comprising 50% doujin and 50% SFW panels.
106
  * **Summary:** This version combines the correct "real line art" training method discovered in V2 with a significantly larger dataset. This improves the model's ability to generalize across different manga styles while maintaining the color quality of V2.
107
 
108
  ### Version 2.0
 
123
 
124
  ## Training Configuration (V3)
125
 
126
+ **Hardware:** Trained on an A40 GPU on Runpod.
127
 
128
  Below is the exact accelerate command used to train the V3 model on Musubi Tuner:
129
 
 
159
  --sdpa
160
  ```
161
 
162
+ **Dataset Settings:** Use a resolution of **1328x1328** with bucketing enabled to handle varying aspect ratios (no upscaling). The training ran with a batch size of 1 and enabled `qwen_image_edit_no_resize_control` to preserve the original dimensions of the control images during processing.
163
+
164
+ ## License
165
 
166
+ * **Project:** Apache 2.0
167
+ * **Dataset:** Hosted separately, contains copyrighted manga panels.
168
+ * **Copyright:** Original art belongs to the respective creators and publishers.
 
 
169
 
170
  ## Acknowledgements
171
 
172
  Trained on Musubi Tuner. Thanks to kohya-ss.
173
 
174
+ **Dataset Contributors:** Thanks to @Rox_Jr & @lucifer_brine04 for their help with the dataset.
175
+
176
  ## External Links
177
  * **Public Model Page:** [Civitai: PanelPainter](https://civitai.com/models/2103847/panelpainter-manga-coloring)
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