fix ernie preview

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

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 - Tag multi-image pipes with `use_images_direct` and allow UI override
 
-## Update for 2026-04-30
+## Update for 2026-05-02
 
 - **Features**
   - **Multi-image** workflows!
@@ -27,6 +27,8 @@
   - refactor `pip` installer, thanks @awsr
 - **Fixes**
   - save handle already decoded images
+  - ernie-image preview
+  - lora false deactivate
 
 ## Update for 2026-04-28
 

modules/api/validate.py

@@ -5,6 +5,7 @@ from modules.logger import log
 # value is cost: -1=disabled, 0=unlimited, 1=default, >1 expensive
 request_cost = {
     "/file": 0,
+    "/internal/progress": 0,
     "/run/predict": 0,
     "/sdapi/v1/browser/thumb": 0,
     "/sdapi/v1/network/thumb": 0,

modules/processing_callbacks.py

@@ -139,7 +139,9 @@ def diffusers_callback(pipe, step: int = 0, timestep: int = 0, kwargs: dict | No
                 width = getattr(p, 'width', 1024)
                 height = getattr(p, 'height', 1024)
             latents = kwargs['latents']
-            if len(latents.shape) == 3:  # packed format [B, seq_len, patch_channels]
+            if len(latents.shape) == 4:
+                latents = pipe._unpatchify_latents(latents) # [B, C*4, h/2, w/2] -> [B, C, h, w] # pylint: disable=protected-access
+            elif len(latents.shape) == 3:  # packed format [B, seq_len, patch_channels]
                 b, seq_len, patch_ch = latents.shape
                 channels = patch_ch // 4  # 4 = 2x2 patch
                 h_patches = height // vae_scale // 2

modules/processing_diffusers.py

@@ -242,7 +242,7 @@ def process_base(p: processing.StableDiffusionProcessing):
 
 def process_hires(p: processing.StableDiffusionProcessing, output):
     # optional second pass
-    if (output is None) or (output.images is None):
+    if (output is None) or not hasattr(output, 'images') or (output.images is None):
         return output
     if p.enable_hr:
         jobid = shared.state.begin('Hires')
@@ -368,7 +368,7 @@ def process_hires(p: processing.StableDiffusionProcessing, output):
 
 def process_refine(p: processing.StableDiffusionProcessing, output):
     # optional refiner pass or decode
-    if (output is None) or (output.images is None):
+    if (output is None) or not hasattr(output, 'images') or (output.images is None):
         return output
     if is_refiner_enabled(p):
         if shared.opts.samples_save and not p.do_not_save_samples and shared.opts.save_images_before_refiner and hasattr(shared.sd_model, 'vae'):