diff --git a/CHANGELOG.md b/CHANGELOG.md
index 948a810d3..ac8439512 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,6 @@
 # Change Log for SD.Next
 
-## Update for 2025-08-23
+## Update for 2025-08-24
 
 - **Models**  
   - **Chroma** final versions: [Chroma1-HD](https://huggingface.co/lodestones/Chroma1-HD), [Chroma1-Base](https://huggingface.co/lodestones/Chroma1-Base) and [Chroma1-Flash](https://huggingface.co/lodestones/Chroma1-Flash)  
@@ -17,6 +17,7 @@
   - improve handling of pre-quantized flux models  
   - fix networks reference models display on windows  
   - wan use correct pipeline for i2v models  
+  - qwen-image with hires  
 
 ## Update for 2025-08-20
 
diff --git a/modules/processing_args.py b/modules/processing_args.py
index a80a3e56d..ae6eaa327 100644
--- a/modules/processing_args.py
+++ b/modules/processing_args.py
@@ -382,8 +382,15 @@ def set_pipeline_args(p, model, prompts:list, negative_prompts:list, prompts_2:t
         if 'width' in possible and 'height' in possible:
             vae_scale_factor = sd_vae.get_vae_scale_factor(model)
             if isinstance(args['image'], torch.Tensor) or isinstance(args['image'], np.ndarray):
-                args['width'] = vae_scale_factor * args['image'].shape[-1]
-                args['height'] = vae_scale_factor * args['image'].shape[-2]
+                if args['image'].shape[-1] == 3: # nhwc
+                    args['width'] = args['image'].shape[-2]
+                    args['height'] = args['image'].shape[-3]
+                elif args['image'].shape[-3] == 3: # nchw
+                    args['width'] = args['image'].shape[-1]
+                    args['height'] = args['image'].shape[-2]
+                else: # assume latent
+                    args['width'] = vae_scale_factor * args['image'].shape[-1]
+                    args['height'] = vae_scale_factor * args['image'].shape[-2]
             elif isinstance(args['image'], Image.Image):
                 args['width'] = args['image'].width
                 args['height'] = args['image'].height
diff --git a/modules/processing_diffusers.py b/modules/processing_diffusers.py
index 4ae15903a..d31732528 100644
--- a/modules/processing_diffusers.py
+++ b/modules/processing_diffusers.py
@@ -223,6 +223,11 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
             shared.state.update('Upscale', 0, 1)
             output.images = resize_hires(p, latents=output.images)
             sd_hijack_hypertile.hypertile_set(p, hr=True)
+        elif torch.is_tensor(output.images) and output.images.shape[-1] == 3: # nhwc
+            if output.images.dim() == 3:
+                output.images = TF.to_pil_image(output.images.permute(2,0,1))
+            elif output.images.dim() == 4:
+                output.images = [TF.to_pil_image(output.images[i].permute(2,0,1)) for i in range(output.images.shape[0])]
 
         strength = p.hr_denoising_strength if p.hr_denoising_strength > 0 else p.denoising_strength
         if (p.hr_upscaler.lower().startswith('latent') or p.hr_force) and strength > 0: