improve: better error message

refactor: rename IterativeLatentUpscaler

README.md

@@ -133,7 +133,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
   * CoreMLDetailerHookProvider - CoreML supports only 512x512, 512x768, 768x512, 768x768 size sampling. CoreMLDetailerHookProvider precisely fixes the upscale of the crop_region to this size. When using this hook, it will always be selected size, regardless of the guide_size. However, if the guide_size is too small, skipping will occur.
   * DetailerHookCombine - This is used to connect two DETAILER_HOOKs. Similar to PixelKSampleHookCombine.
 
-* Iterative Upscale (Latent) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. 
+* Iterative Upscale (Latent/on Pixel Space) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. 
 This takes latent as input and outputs latent as the result.
 * Iterative Upscale (Image) - The upscaler takes the input upscaler and splits the scale_factor into steps, then iteratively performs upscaling. This takes image as input and outputs image as the result.
   * Internally, this node uses 'Iterative Upscale (Latent)'.

__init__.py

@@ -352,7 +352,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "EditDetailerPipe": "Edit DetailerPipe",
 
     "LatentPixelScale": "Latent Scale (on Pixel Space)",
-    "IterativeLatentUpscale": "Iterative Upscale (Latent)",
+    "IterativeLatentUpscale": "Iterative Upscale (Latent/on Pixel Space)",
     "IterativeImageUpscale": "Iterative Upscale (Image)",
 
     "TwoSamplersForMaskUpscalerProvider": "TwoSamplersForMask Upscaler Provider",

modules/impact/config.py

@@ -2,7 +2,7 @@ import configparser
 import os
 
 
-version = "V4.50"
+version = "V4.50.1"
 
 dependency_version = 19
 

modules/impact/impact_pack.py

@@ -180,6 +180,10 @@ class DetailerForEach:
     def do_detail(image, segs, model, clip, vae, guide_size, guide_size_for_bbox, max_size, seed, steps, cfg, sampler_name, scheduler,
                   positive, negative, denoise, feather, noise_mask, force_inpaint, wildcard_opt=None, detailer_hook=None,
                   refiner_ratio=None, refiner_model=None, refiner_clip=None, refiner_positive=None, refiner_negative=None, cycle=1):
+
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: DetailerForEach does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         image = image.clone()
         enhanced_alpha_list = []
         enhanced_list = []
@@ -319,6 +323,9 @@ class DetailerForEachPipe:
              denoise, feather, noise_mask, force_inpaint, basic_pipe, wildcard,
              refiner_ratio=None, detailer_hook=None, refiner_basic_pipe_opt=None, cycle=1):
 
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: DetailerForEach does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         model, clip, vae, positive, negative = basic_pipe
 
         if refiner_basic_pipe_opt is None:
@@ -1251,6 +1258,9 @@ class MaskDetailerPipe:
              feather, crop_factor, drop_size, refiner_ratio, batch_size, cycle=1,
              refiner_basic_pipe_opt=None, detailer_hook=None):
 
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: MaskDetailer does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         model, clip, vae, positive, negative = basic_pipe
 
         if refiner_basic_pipe_opt is None:
@@ -1309,6 +1319,9 @@ class DetailerForEachTest(DetailerForEach):
              scheduler, positive, negative, denoise, feather, noise_mask, force_inpaint, wildcard, detailer_hook=None,
              cycle=1):
 
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: DetailerForEach does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         enhanced_img, cropped, cropped_enhanced, cropped_enhanced_alpha, cnet_pil_list, new_segs = \
             DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps,
                                       cfg, sampler_name, scheduler, positive, negative, denoise, feather, noise_mask,
@@ -1343,6 +1356,9 @@ class DetailerForEachTestPipe(DetailerForEachPipe):
              denoise, feather, noise_mask, force_inpaint, basic_pipe, wildcard, cycle=1,
              refiner_ratio=None, detailer_hook=None, refiner_basic_pipe_opt=None):
 
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: DetailerForEach does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         model, clip, vae, positive, negative = basic_pipe
 
         if refiner_basic_pipe_opt is None:

modules/impact/segs_nodes.py

@@ -107,6 +107,9 @@ class SEGSDetailer:
              denoise, noise_mask, force_inpaint, basic_pipe, refiner_ratio=None, batch_size=1, cycle=1,
              refiner_basic_pipe_opt=None):
 
+        if len(image) > 1:
+            raise Exception('[Impact Pack] ERROR: SEGSDetailer does not allow image batches.\nPlease refer to https://github.com/ltdrdata/ComfyUI-extension-tutorials/blob/Main/ComfyUI-Impact-Pack/tutorial/batching-detailer.md for more information.')
+
         segs, cnet_pil_list = SEGSDetailer.do_detail(image, segs, guide_size, guide_size_for, max_size, seed, steps, cfg, sampler_name,
                                                      scheduler, denoise, noise_mask, force_inpaint, basic_pipe, refiner_ratio, batch_size, cycle=cycle,
                                                      refiner_basic_pipe_opt=refiner_basic_pipe_opt)
@@ -224,8 +227,8 @@ class SEGSPaste:
         segs = core.segs_scale_match(segs, image.shape)
 
         result = None
-        for i in range(image.shape[0]):
-            image_i = image[i].unsqueeze(0).clone()
+        for i, single_image in enumerate(image):
+            image_i = single_image.unsqueeze(0).clone()
 
             for seg in segs[1]:
                 ref_image = None