diff --git a/CHANGELOG.md b/CHANGELOG.md
index 03fe52caa..ad6888ac4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 ## TODO
 
-- Tag multi-image pipes with `use_images_direct`
+- Tag multi-image pipes with `use_images_direct` and allow UI override
 
 ## Update for 2026-04-30
 
@@ -10,16 +10,23 @@
   - **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  
+  - **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  
     state is preserved across sessions and can be used to hide rarely used panels and declutter the workspace  
   - **Kanvas** re-order stages by clicking on active stage  
+    order of stages detemines order of images passed to model  
 - **Control**
   - remove buttons: *input/control/process*
   - move params *control input type* to control menu section
   - remove "processed preview" from ui  
     preprocessor output can still be generated by clicking preview button in in control unit and it will render into normal output area  
+- **Internal**
+  - refactor `pip` installer, thanks @awsr
+- **Fixes**
+  - save handle already decoded images
 
 ## Update for 2026-04-28
 
diff --git a/modules/control/run.py b/modules/control/run.py
index 3a8aa83a6..d3238675f 100644
--- a/modules/control/run.py
+++ b/modules/control/run.py
@@ -339,7 +339,8 @@ def control_process(p: StableDiffusionProcessingControl,
 def control_run(state: str = '', # pylint: disable=keyword-arg-before-vararg
                 units: list[unit.Unit] | None = None, inputs: list[Image.Image] | None = None, inits: list[Image.Image] | None = None, mask: Image.Image = None, unit_type: str | None = None, is_generator: bool = True,
                 input_type: int = 0,
-                prompt: str = '', negative_prompt: str = '', styles: list[str] | None = None,
+                prompt: str = '', negative_prompt: str = '',
+                styles: list[str] | None = None,
                 steps: int = 20, sampler_index: int | None = None,
                 seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1,
                 guidance_name: str = 'Default', guidance_scale: float = 6.0, guidance_rescale: float = 0.0, guidance_start: float = 0.0, guidance_stop: float = 1.0,
@@ -358,7 +359,9 @@ def control_run(state: str = '', # pylint: disable=keyword-arg-before-vararg
                 resize_mode_before: int = 0, resize_name_before: str = 'None', resize_context_before: str = 'None', width_before: int = 512, height_before: int = 512, scale_by_before: float = 1.0, selected_scale_tab_before: int = 0,
                 resize_mode_after: int = 0, resize_name_after: str = 'None', resize_context_after: str = 'None', width_after: int = 0, height_after: int = 0, scale_by_after: float = 1.0, selected_scale_tab_after: int = 0,
                 resize_mode_mask: int = 0, resize_name_mask: str = 'None', resize_context_mask: str = 'None', width_mask: int = 0, height_mask: int = 0, scale_by_mask: float = 1.0, selected_scale_tab_mask: int = 0,
-                denoising_strength: float = 0.3, batch_count: int = 1, batch_size: int = 1,
+                denoising_strength: float = 0.3,
+                skip_processing: bool = False,
+                batch_count: int = 1, batch_size: int = 1,
                 enable_hr: bool = False, hr_sampler_index: int | None = None, hr_denoising_strength: float = 0.0, hr_resize_mode: int = 0, hr_resize_context: str = 'None', hr_upscaler: str | None = None, hr_force: bool = False, hr_second_pass_steps: int = 20,
                 hr_scale: float = 1.0, hr_resize_x: int = 0, hr_resize_y: int = 0, refiner_steps: int = 5, refiner_start: float = 0.0, refiner_prompt: str = '', refiner_negative: str = '',
                 video_skip_frames: int = 0, video_type: str = 'None', video_duration: float = 2.0, video_loop: bool = False, video_pad: int = 0, video_interpolate: int = 0,
@@ -456,6 +459,7 @@ def control_run(state: str = '', # pylint: disable=keyword-arg-before-vararg
         seed_resize_from_h = seed_resize_from_h,
         seed_resize_from_w = seed_resize_from_w,
         denoising_strength = denoising_strength,
+        skip_processing = skip_processing,
         # modular guidance
         guidance_name = guidance_name,
         guidance_scale = guidance_scale,
@@ -749,8 +753,9 @@ def control_run(state: str = '', # pylint: disable=keyword-arg-before-vararg
                         continue
                     index += 1
 
-                    if getattr(pipe, 'use_images_direct', False) or getattr(p, 'use_images_direct', False):
+                    if getattr(pipe, 'skip_processing', False) or getattr(p, 'skip_processing', False):
                         p.init_images = inputs
+                        p.extra_generation_params['Process'] = False
                     else:
                         processed_image, blended_image = preprocess_image(p,
                                                                           pipe,
diff --git a/modules/processing_class.py b/modules/processing_class.py
index 9e1ed3e4f..ecbe47a92 100644
--- a/modules/processing_class.py
+++ b/modules/processing_class.py
@@ -276,6 +276,7 @@ class StableDiffusionProcessing:
                  tome_ratio: float | None = None,
                  todo_ratio: float | None = None,
                  # overrides
+                 skip_processing: bool = False,
                  override_settings_restore_afterwards: bool = True,
                  override_settings: dict[str, Any] | None = None,
                  # metadata
@@ -491,6 +492,7 @@ class StableDiffusionProcessing:
         self.scale_by_before = scale_by_before
         self.scale_by_after = scale_by_after
         self.scale_by_mask = scale_by_mask
+        self.skip_processing = skip_processing
 
         # special handled items
         if firstphase_width != 0 or firstphase_height != 0:
diff --git a/modules/ui_control.py b/modules/ui_control.py
index abdda0fec..12a4c9eb0 100644
--- a/modules/ui_control.py
+++ b/modules/ui_control.py
@@ -170,6 +170,7 @@ def create_ui(_blocks: gr.Blocks=None):
                         input_type = gr.Radio(label="Use init image", choices=['No: Control only', '1st: Same as control', '2nd: Separate image'], value='No: Control only', type='index', elem_id='control_input_type')
                     with gr.Row():
                         denoising_strength = gr.Slider(minimum=0.00, maximum=0.99, step=0.01, label='Denoising strength', value=0.30, elem_id="control_input_denoising_strength")
+                        skip_processing = gr.Checkbox(label="Skip input processing", value=False, elem_id="control_input_skip_processing")
 
                 with gr.Accordion(open=False, label="Size", elem_id="control_size", elem_classes=["small-accordion"]):
                     with gr.Tabs():
@@ -318,7 +319,7 @@ def create_ui(_blocks: gr.Blocks=None):
                 resize_mode_before, resize_name_before, resize_context_before, width_before, height_before, scale_by_before, selected_scale_tab_before,
                 resize_mode_after, resize_name_after, resize_context_after, width_after, height_after, scale_by_after, selected_scale_tab_after,
                 resize_mode_mask, resize_name_mask, resize_context_mask, width_mask, height_mask, scale_by_mask, selected_scale_tab_mask,
-                denoising_strength, batch_count, batch_size,
+                denoising_strength, skip_processing, batch_count, batch_size,
                 enable_hr, hr_sampler_index, hr_denoising_strength, hr_resize_mode, hr_resize_context, hr_upscaler, hr_force, hr_second_pass_steps, hr_scale, hr_resize_x, hr_resize_y, refiner_steps,
                 refiner_start, refiner_prompt, refiner_negative,
                 video_skip_frames, video_type, video_duration, video_loop, video_pad, video_interpolate,
diff --git a/pipelines/model_google.py b/pipelines/model_google.py
index 9bb062811..40e52c5bd 100644
--- a/pipelines/model_google.py
+++ b/pipelines/model_google.py
@@ -40,7 +40,7 @@ def get_size_buckets(width: int, height: int) -> tuple[str, str]:
 
 class GoogleNanoBananaPipeline():
     def __init__(self, model_name: str):
-        self.use_images_direct = True
+        self.skip_processing = True
         self.model = model_name
         self.client = None
         self.config = None