allow resize non-pil

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -1,8 +1,8 @@
 # Change Log for SD.Next
 
-## Update for 2025-07-11
+## Update for 2025-07-12
 
-### Highlights for 2025-07-11
+### Highlights for 2025-07-12
 
 In this release we finally break with legacy with the removal of the original [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) codebase which has not been maintained for a while now  
 This plus major cleanup of codebase and external dependencies resulted in ~53k LoC (*lines-of-code*) reduction and spread over [~720 files](https://github.com/vladmandic/sdnext/pull/4017)!  
@@ -23,7 +23,7 @@ Although upgrades and existing installations are tested and should work fine!
 
 [ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867)
 
-### Details for 2025-07-11
+### Details for 2025-07-12
 
 - **License**  
   - SD.Next [license](https://github.com/vladmandic/sdnext/blob/dev/LICENSE.txt) switched from **aGPL-v3.0** to **Apache-v2.0**  
@@ -87,6 +87,7 @@ Although upgrades and existing installations are tested and should work fine!
   - fix loading of manually downloaded diffuser models  
   - fix api `/sdapi/v1/embeddings` endpoint  
   - fix incorrect reporting of deleted and modified files  
+  - allow upscaling with models that have implicit VAE processing  
   - improve infotext param parsing  
   - improve extensions ui search  
   - improve model type autodetection  

TODO.md

@@ -6,12 +6,10 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 
 ## Future Candidates
 
+- Refactor: Sampler options  
 - Feature: Common repo for `T5` and `CLiP`  
 - Feature: LoRA add OMI format support for SD35/FLUX.1  
-- Refactor: sampler options  
-- Video: API support  
-- Remove: CodeFormer  
-- Remove: GFPGAN  
+- Video: Generic API support  
 - Video: LTX TeaCache and others  
 - Video: LTX API  
 - Video: LTX PromptEnhance
@@ -35,6 +33,8 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 - [Dream0 guidance](https://huggingface.co/ByteDance/DreamO)  
 - [SUPIR upscaler](https://github.com/Fanghua-Yu/SUPIR)  
 - Remove: Agent Scheduler  
+- Remove: CodeFormer  
+- Remove: GFPGAN  
 - ModernUI: Lite vs Expert mode  
 
 ### Future Considerations

modules/images_resize.py

@@ -10,6 +10,18 @@ from modules import shared, upscaler
 def resize_image(resize_mode: int, im: Union[Image.Image, torch.Tensor], width: int, height: int, upscaler_name: str=None, output_type: str='image', context: str=None):
     upscaler_name = upscaler_name or shared.opts.upscaler_for_img2img
 
+    def verify_image(image):
+        try:
+            if isinstance(image, torch.Tensor):
+                image = image.float().detach().cpu().numpy()
+            if isinstance(image, np.ndarray):
+                if np.issubdtype(image.dtype, np.floating):
+                    image = (255.0 * image).astype(np.uint8)
+                image = Image.fromarray(image)
+        except Exception as e:
+            shared.log.error(f"Image verification failed: {e}")
+        return image
+
     def latent(im, scale: float, selected_upscaler: upscaler.UpscalerData):
         if isinstance(im, torch.Tensor):
             im = selected_upscaler.scaler.upscale(im, scale, selected_upscaler.name)
@@ -119,7 +131,11 @@ def resize_image(resize_mode: int, im: Union[Image.Image, torch.Tensor], width:
     if isinstance(im, torch.Tensor): # latent resize only supports fixed mode
         res = resize(im, width, height)
         return res
-    elif (resize_mode == 0) or (im.width == width and im.height == height) or (width == 0 and height == 0): # none
+    im = verify_image(im)
+    if not isinstance(im, Image.Image):
+        shared.log.error(f'Image resize: image={type(im)} invalid type')
+        return im
+    if (resize_mode == 0) or ((im.width == width) and (im.height == height)) or (width == 0 and height == 0): # none
         res = im.copy()
     elif resize_mode == 1: # fixed
         res = resize(im, width, height)