fix kandinsky detection

Co-authored-by: Copilot <copilot@github.com>
Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,17 +1,14 @@
 # Change Log for SD.Next
 
-## TODO
-
-- Tag multi-image pipes with `use_images_direct` and allow UI override
-
 ## Update for 2026-05-02
 
 - **Features**
   - **Multi-image** workflows!
     for models that support multiple images as inputs, you can now add multiple stages in Kanvas  
     prompts like "*place character from first image, add background from second image, render in style from third image*" are now possible  
+  - option *inputs -> skip processing* to force images to passed to model as-is without any pre-processing  
+    examples of models that support multi-inputs: *qwen-image-edit, flux.2, google-gemini*  
   - **Anima** support for *img2img* and *inpaint* workflows
-  - option *inputs -> skip processing* to force images to passed to model as-is without any pre-processing
 - **UI**
   - add button to manually reorient input/output panels
   - all ui panels can be minimized/maximized by clicking on their header  
@@ -29,6 +26,7 @@
   - save handle already decoded images
   - ernie-image preview
   - lora false deactivate
+  - kandinsky-5 t2i/i2i workflows
 
 ## Update for 2026-04-28
 

modules/processing_args.py

@@ -129,14 +129,11 @@ def task_specific_kwargs(p, model):
         }
 
     # model specific args
-    if ('QwenImageEdit' in model_cls) and (p.init_images is None or len(p.init_images) == 0):
-        task_args['image'] = [Image.new('RGB', (p.width, p.height), (0, 0, 0))] # monkey-patch so qwen-image-edit pipeline does not error-out on t2i
-    if ('QwenImageEditPlusPipeline' in model_cls) and (p.init_control is not None) and (len(p.init_control) > 0):
-        task_args['image'] += p.init_control
+    if (('QwenImageEdit' in model_cls) or ('Kandinsky5I2IPipeline' in model_cls)) and (p.init_images is None or len(p.init_images) == 0):
+        log.debug(f'Model init: cls={model_cls} image=blank')
+        task_args['image'] = [Image.new('RGB', (p.width, p.height), (0, 0, 0))] # monkey-patch so i2i pipeline does not error-out on t2i
     if ('QwenImageLayeredPipeline' in model_cls) and (p.init_images is not None) and (len(p.init_images) > 0):
         task_args['image'] = p.init_images[0].convert('RGBA')
-    if ('Flux2' in model_cls) and (p.init_control is not None) and (len(p.init_control) > 0):
-        task_args['image'] += p.init_control
     if ('LatentConsistencyModelPipeline' in model_cls) and (len(p.init_images) > 0):
         p.ops.append('lcm')
         init_latents = [processing_vae.vae_encode(image, model=shared.sd_model, vae_type=p.vae_type).squeeze(dim=0) for image in p.init_images]

modules/sd_detect.py

@@ -126,7 +126,7 @@ def guess_by_name(fn, current_guess):
         new_guess = 'Kandinsky 2.2'
     elif 'kandinsky-3' in fn.lower():
         new_guess = 'Kandinsky 3.0'
-    elif 'kandinsky-5.0' in fn.lower() and '2i' not in fn.lower():
+    elif 'kandinsky-5.0' in fn.lower():
         new_guess = 'Kandinsky 5.0'
     elif 'hunyuanimage3' in fn.lower() or 'hunyuanimage-3' in fn.lower():
         new_guess = 'HunyuanImage3'

modules/sd_models.py

@@ -51,6 +51,7 @@ pipe_switch_task_exclude = [
     'NucleusMoEImagePipeline',
     'AuraFlowPipeline',
     'ChronoEditPipeline',
+    'Kandinsky5I2IPipeline',
     'GoogleNanoBananaPipeline',
 ]
 i2i_pipes = [
@@ -482,7 +483,7 @@ def load_diffuser_force(detected_model_type, checkpoint_info, diffusers_load_con
             from pipelines.model_kandinsky import load_kandinsky3
             sd_model = load_kandinsky3(checkpoint_info, diffusers_load_config)
             allow_post_quant = False
-        elif model_type in ['Kandinsky 5.0'] and model_type:
+        elif model_type in ['Kandinsky 5.0']:
             from pipelines.model_kandinsky import load_kandinsky5
             sd_model = load_kandinsky5(checkpoint_info, diffusers_load_config)
             allow_post_quant = False