kundaja-green commited on
Commit
b469d74
·
1 Parent(s): fe2d1f0

added models to gitignore

Browse files
Files changed (2) hide show
  1. .gitignore +2 -1
  2. README.md +14 -5
.gitignore CHANGED
@@ -8,4 +8,5 @@ main.lib
8
  main.obj
9
  dataset/Wan
10
  Models/
11
- Output_LoRAs/
 
 
8
  main.obj
9
  dataset/Wan
10
  Models/
11
+ Output_LoRAs/
12
+ models/
README.md CHANGED
@@ -1,11 +1,20 @@
1
  ---
2
  title: Wan LoRA Trainer
3
  sdk: docker
4
- # This links the TWO required model repositories.
5
- # Each one will be mounted as a separate folder inside the Space.
6
- models:
7
- - Wan-AI/Wan2.1-I2V-14B-720P
8
- - Comfy-Org/Wan_2.1_ComfyUI_repackaged
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  # Wan 2.1LoRA Trainer
 
1
  ---
2
  title: Wan LoRA Trainer
3
  sdk: docker
4
+ ---
5
+
6
+ # Wan 2.1 LoRA Trainer
7
+
8
+ This Space provides a ready-to-use environment for training a LoRA adapter for the Wan 2.1 image-to-video model.
9
+
10
+ ## How it Works
11
+
12
+ * **Self-Contained:** All required models are stored directly within this Space for maximum reliability.
13
+ * **Automatic Startup:** When the Space builds, it automatically executes the `start.sh` script to begin the training process. You can monitor the progress in the "Logs" section.
14
+
15
+ ## How to Train on Your Own Data
16
+
17
+ This Space is pre-configured to run with a test dataset. To train on your own data, simply upload your dataset files, create a `.toml` configuration file for it, and update the `start.sh` script to point to your new config.
18
  ---
19
 
20
  # Wan 2.1LoRA Trainer