Add config for Conv2D Direct for the diffusion model

Author: wbruna

expose.h

@@ -166,6 +166,7 @@ struct sd_load_model_inputs
     const int threads = 0;
     const int quant = 0;
     const bool flash_attention = false;
+    const bool diffusion_conv_direct = false;
     const bool vae_conv_direct = false;
     const bool taesd = false;
     const int tiled_vae_threshold = 0;

koboldcpp.py

@@ -280,6 +280,7 @@ class sd_load_model_inputs(ctypes.Structure):
                 ("threads", ctypes.c_int),
                 ("quant", ctypes.c_int),
                 ("flash_attention", ctypes.c_bool),
+                ("diffusion_conv_direct", ctypes.c_bool),
                 ("vae_conv_direct", ctypes.c_bool),
                 ("taesd", ctypes.c_bool),
                 ("tiled_vae_threshold", ctypes.c_int),
@@ -1655,6 +1656,7 @@ def sd_load_model(model_filename,vae_filename,lora_filename,t5xxl_filename,clipl
     inputs.threads = thds
     inputs.quant = quant
     inputs.flash_attention = args.sdflashattention
+    inputs.diffusion_conv_direct = args.sddiffusionconvdir
     inputs.vae_conv_direct = args.sdvaeconvdir
     inputs.taesd = True if args.sdvaeauto else False
     inputs.tiled_vae_threshold = args.sdtiledvae
@@ -4569,6 +4571,7 @@ def hide_tooltip(event):
     sd_clipg_var = ctk.StringVar()
     sd_photomaker_var = ctk.StringVar()
     sd_flash_attention_var = ctk.IntVar(value=0)
+    sd_diffusion_convdir_var = ctk.IntVar(value=0)
     sd_vaeauto_var = ctk.IntVar(value=0)
     sd_tiled_vae_var = ctk.StringVar(value=str(default_vae_tile_threshold))
     sd_vae_convdir_var = ctk.IntVar(value=0)
@@ -5334,6 +5337,7 @@ def toggletaesd(a,b,c):
     makecheckbox(images_tab, "Conv2D Direct for VAE", sd_vae_convdir_var, 42, padx=220, tooltiptxt="Enable Conv2D Direct for VAE. Saves memory and improves performance.\nMight crash if not supported by the backend.")
     makelabelentry(images_tab, "VAE Tiling Threshold:", sd_tiled_vae_var, 44, 50, padx=144,singleline=True,tooltip="Enable VAE Tiling for images above this size, to save memory.\nSet to 0 to disable VAE tiling.")
     makecheckbox(images_tab, "Flash Attention", sd_flash_attention_var, 48, tooltiptxt="Enable Flash Attention for diffusion. May save memory or improve performance.")
+    makecheckbox(images_tab, "Conv2D Direct for Diffusion", sd_diffusion_convdir_var, 48, padx=220, tooltiptxt="Enable Conv2D Direct for diffusion. May save memory or improve performance.\nMight crash if not supported by the backend.")
 
     # audio tab
     audio_tab = tabcontent["Audio"]
@@ -5572,6 +5576,8 @@ def export_vars():
 
         if sd_flash_attention_var.get()==1:
             args.sdflashattention = True
+        if sd_diffusion_convdir_var.get()==1:
+            args.sddiffusionconvdir = True
         args.sdthreads = (0 if sd_threads_var.get()=="" else int(sd_threads_var.get()))
         args.sdclamped = (0 if int(sd_clamped_var.get())<=0 else int(sd_clamped_var.get()))
         args.sdclampedsoft = (0 if int(sd_clamped_soft_var.get())<=0 else int(sd_clamped_soft_var.get()))
@@ -5807,6 +5813,7 @@ def import_vars(dict):
         sd_threads_var.set(str(dict["sdthreads"]) if ("sdthreads" in dict and dict["sdthreads"]) else str(default_threads))
         sd_quant_var.set(1 if ("sdquant" in dict and dict["sdquant"]) else 0)
         sd_flash_attention_var.set(1 if ("sdflashattention" in dict and dict["sdflashattention"]) else 0)
+        sd_diffusion_convdir_var.set(1 if ("sddiffusionconvdir" in dict and dict["sddiffusionconvdir"]) else 0)
         sd_vae_var.set(dict["sdvae"] if ("sdvae" in dict and dict["sdvae"]) else "")
         sd_t5xxl_var.set(dict["sdt5xxl"] if ("sdt5xxl" in dict and dict["sdt5xxl"]) else "")
         sd_clipl_var.set(dict["sdclipl"] if ("sdclipl" in dict and dict["sdclipl"]) else "")
@@ -7610,6 +7617,7 @@ def range_checker(arg: str):
     sdparsergroup.add_argument("--sdclipg", metavar=('[filename]'), help="Specify a Clip-G safetensors model for use in SD3. Leave blank if prebaked or unused.", default="")
     sdparsergroup.add_argument("--sdphotomaker", metavar=('[filename]'), help="PhotoMaker is a model that allows face cloning. Specify a PhotoMaker safetensors model which will be applied replacing img2img. SDXL models only. Leave blank if unused.", default="")
     sdparsergroup.add_argument("--sdflashattention", help="Enables Flash Attention for image generation.", action='store_true')
+    sdparsergroup.add_argument("--sddiffusionconvdir", help="Enables Conv2D Direct for the image diffusion model. May improve performance or reduce memory usage. Might crash if not supported by the backend.", action='store_true')
     sdparsergroupvae = sdparsergroup.add_mutually_exclusive_group()
     sdparsergroupvae.add_argument("--sdvae", metavar=('[filename]'), help="Specify an image generation safetensors VAE which replaces the one in the model.", default="")
     sdparsergroupvae.add_argument("--sdvaeauto", help="Uses a built-in VAE via TAE SD, which is very fast, and fixed bad VAEs.", action='store_true')

otherarch/sdcpp/sdtype_adapter.cpp

@@ -99,6 +99,7 @@ struct SDParams {
     bool clip_on_cpu              = false;
     bool vae_on_cpu               = false;
     bool diffusion_flash_attn     = false;
+    bool diffusion_conv_direct    = false;
     bool vae_conv_direct          = false;
     bool canny_preprocess         = false;
     bool color                    = false;
@@ -212,6 +213,10 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
     {
         printf("Flash Attention is enabled\n");
     }
+    if(inputs.diffusion_conv_direct)
+    {
+        printf("Conv2D Direct for diffusion model is enabled\n");
+    }
     if(inputs.vae_conv_direct)
     {
         printf("Conv2D Direct for VAE model is enabled\n");
@@ -251,6 +256,7 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
     sd_params->wtype = (inputs.quant==0?SD_TYPE_COUNT:SD_TYPE_Q4_0);
     sd_params->n_threads = inputs.threads; //if -1 use physical cores
     sd_params->diffusion_flash_attn = inputs.flash_attention;
+    sd_params->diffusion_conv_direct = inputs.diffusion_conv_direct;
     sd_params->vae_conv_direct = inputs.vae_conv_direct;
     sd_params->input_path = ""; //unused
     sd_params->batch_count = 1;
@@ -322,6 +328,7 @@ bool sdtype_load_model(const sd_load_model_inputs inputs) {
     params.keep_control_net_on_cpu = sd_params->control_net_cpu;
     params.keep_vae_on_cpu = sd_params->vae_on_cpu;
     params.diffusion_flash_attn = sd_params->diffusion_flash_attn;
+    params.diffusion_conv_direct = sd_params->diffusion_conv_direct;
     params.vae_conv_direct = sd_params->vae_conv_direct;
     params.chroma_use_dit_mask = sd_params->chroma_use_dit_mask;
     params.chroma_use_t5_mask = sd_params->chroma_use_t5_mask;