Update app.py

app.py

@@ -7,8 +7,36 @@ import modules.wdtagger
 # Daftar model dan ControlNet
 models = ["Model A", "Model B", "Model C"]
 vae = ["VAE A", "VAE B", "VAE C"]
-controlnet_types = ["Canny", "Depth", "Normal", "Pose"]
-schedulers = ["Euler", "LMS", "DDIM"]
+controlnet_types = [
+    "Canny",         # Edge detection using Canny algorithm
+    "Depth",         # Depth estimation from images
+    "Normal",        # Normal map generation
+    "Pose",          # Pose estimation
+    "Segmentation",  # Semantic segmentation
+    "Scribble",      # Sketch or scribble input
+    "OpenPose",      # OpenPose-based pose estimation
+    "MLSD",          # Line segment detection
+    "HED",           # Holistically-Nested Edge Detection
+    "Color",         # Colorization input
+    "Binary",        # Binary mask input
+    "Scribble+Edge", # Combination of scribble and edge detection
+    "OpenPose+Depth" # Combination of OpenPose and depth estimation
+]
+
+schedulers = [
+    "EulerDiscreteScheduler",
+    "EulerAncestralDiscreteScheduler",
+    "LMSDiscreteScheduler",               # Linear Multistep Methods
+    "DDIMScheduler",                      # Denoising Diffusion Implicit Models
+    "PNDMScheduler",                      # Pseudo Numerical Methods for Diffusion Models
+    "HeunDiscreteScheduler",              # Heun's method
+    "DPMSolverMultistepScheduler",        # Diffusion Probabilistic Model Solver
+    "DDPMScheduler",                      # Denoising Diffusion Probabilistic Models
+    "DPMSolverSinglestepScheduler",       # Single-step version of DPM-Solver
+    "DPMSolver++MultistepScheduler",      # Enhanced version of DPM-Solver
+    "IPNDMScheduler",                     # Improved Pseudo Numerical Methods for Diffusion Models
+]
+
 
 # Fungsi placeholder
 def load_model_func(checkpoint, vae):