feat: add Tile Image Processor to Linear UI

invokeai/app/invocations/controlnet_image_processors.py

@@ -539,7 +539,7 @@ def tile_resample(self, np_img: np.ndarray[Any, Any]):
             )
             np_img = cv2.resize(np_img, (resize_w, resize_h), interpolation=cv2.INTER_CUBIC)
 
-        np_img = cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB)
+        # np_img = cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB)
 
         return np_img
 

invokeai/backend/model_manager/probe.py

@@ -312,9 +312,11 @@ def _get_checkpoint_config_path(
             config_file = (
                 "stable-diffusion/v1-inference.yaml"
                 if base_type is BaseModelType.StableDiffusion1
-                else "stable-diffusion/sd_xl_base.yaml"
-                if base_type is BaseModelType.StableDiffusionXL
-                else "stable-diffusion/v2-inference.yaml"
+                else (
+                    "stable-diffusion/sd_xl_base.yaml"
+                    if base_type is BaseModelType.StableDiffusionXL
+                    else "stable-diffusion/v2-inference.yaml"
+                )
             )
         else:
             raise InvalidModelConfigException(
@@ -361,6 +363,7 @@ def _scan_model(cls, model_name: str, checkpoint: Path) -> None:
     "pose": "dw_openpose_image_processor",
     "mediapipe": "mediapipe_face_processor",
     "pidi": "pidi_image_processor",
+    "tile": "tile_image_processor",
     "zoe": "zoe_depth_image_processor",
     "color": "color_map_image_processor",
 }

invokeai/frontend/web/public/locales/en.json

@@ -231,6 +231,14 @@
         "dwOpenposeDescription": "Human pose estimation using DW Openpose",
         "pidi": "PIDI",
         "pidiDescription": "PIDI image processing",
+        "tile": "Tile",
+        "TileDescription": "Tile Resampling",
+        "mode": "Mode",
+        "downsamplingRate": "Downsampling Rate",
+        "regular": "Regular",
+        "blur": "Blur",
+        "variation": "Variation",
+        "super": "Super",
         "processor": "Processor",
         "prompt": "Prompt",
         "resetControlImage": "Reset Control Image",

invokeai/frontend/web/src/features/controlAdapters/store/constants.ts

@@ -245,6 +245,21 @@ export const CONTROLNET_PROCESSORS: ControlNetProcessorsDict = {
       safe: false,
     }),
   },
+  tile_image_processor: {
+    type: 'tile_image_processor',
+    get label() {
+      return i18n.t('controlnet.tile');
+    },
+    get description() {
+      return i18n.t('controlnet.tileDescription');
+    },
+    buildDefaults: () => ({
+      id: 'tile_image_processor',
+      type: 'tile_image_processor',
+      down_sampling_rate: 1.0,
+      mode: 'blur',
+    }),
+  },
   zoe_depth_image_processor: {
     type: 'zoe_depth_image_processor',
     get label() {

invokeai/frontend/web/src/features/controlAdapters/store/types.ts

@@ -26,6 +26,7 @@ export type ControlAdapterProcessorNode =
   | Invocation<'normalbae_image_processor'>
   | Invocation<'dw_openpose_image_processor'>
   | Invocation<'pidi_image_processor'>
+  | Invocation<'tile_image_processor'>
   | Invocation<'zoe_depth_image_processor'>;
 
 /**
@@ -46,6 +47,7 @@ export const zControlAdapterProcessorType = z.enum([
   'normalbae_image_processor',
   'dw_openpose_image_processor',
   'pidi_image_processor',
+  'tile_image_processor',
   'zoe_depth_image_processor',
   'none',
 ]);
@@ -199,6 +201,10 @@ const zIPMethod = z.enum(['full', 'style', 'composition']);
 export type IPMethod = z.infer<typeof zIPMethod>;
 export const isIPMethod = (v: unknown): v is IPMethod => zIPMethod.safeParse(v).success;
 
+const zTileProcessorMode = z.enum(['regular', 'blur', 'var', 'super']);
+export type TileProcessorMode = z.infer<typeof zTileProcessorMode>;
+export const isTileProcessorMode = (v: unknown): v is TileProcessorMode => zTileProcessorMode.safeParse(v).success;
+
 export type ControlNetConfig = {
   type: 'controlnet';
   id: string;

invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/ControlAdapterProcessorConfig.tsx

@@ -12,6 +12,7 @@ import { MediapipeFaceProcessor } from './processors/MediapipeFaceProcessor';
 import { MidasDepthProcessor } from './processors/MidasDepthProcessor';
 import { MlsdImageProcessor } from './processors/MlsdImageProcessor';
 import { PidiProcessor } from './processors/PidiProcessor';
+import { TileProcessor } from './processors/TileProcessor';
 
 type Props = {
   config: ProcessorConfig | null;
@@ -77,6 +78,10 @@ export const ControlAdapterProcessorConfig = memo(({ config, onChange }: Props)
     return <PidiProcessor onChange={onChange} config={config} />;
   }
 
+  if (config.type === 'tile_image_processor') {
+    return <TileProcessor onChange={onChange} config={config} />;
+  }
+
   if (config.type === 'zoe_depth_image_processor') {
     return null;
   }

invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/processors/TileProcessor.tsx

@@ -0,0 +1,76 @@
+import type { ComboboxOnChange } from '@invoke-ai/ui-library';
+import { Combobox, CompositeNumberInput, CompositeSlider, FormControl, FormLabel } from '@invoke-ai/ui-library';
+import { isTileProcessorMode, type TileProcessorMode } from 'features/controlAdapters/store/types';
+import type { ProcessorComponentProps } from 'features/controlLayers/components/ControlAndIPAdapter/processors/types';
+import { CA_PROCESSOR_DATA, type TileProcessorConfig } from 'features/controlLayers/util/controlAdapters';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
+
+import ProcessorWrapper from './ProcessorWrapper';
+
+type Props = ProcessorComponentProps<TileProcessorConfig>;
+const DEFAULTS = CA_PROCESSOR_DATA['tile_image_processor'].buildDefaults();
+
+export const TileProcessor = memo(({ onChange, config }: Props) => {
+  const { t } = useTranslation();
+
+  const tileModeOptions: { label: string; value: TileProcessorMode }[] = useMemo(
+    () => [
+      { label: t('controlnet.regular'), value: 'regular' },
+      { label: t('controlnet.blur'), value: 'blur' },
+      { label: t('controlnet.variation'), value: 'var' },
+      { label: t('controlnet.super'), value: 'super' },
+    ],
+    [t]
+  );
+
+  const tileModeValue = useMemo(() => tileModeOptions.find((o) => o.value === config.mode), [tileModeOptions, config]);
+
+  const handleTileModeChange = useCallback<ComboboxOnChange>(
+    (v) => {
+      if (!isTileProcessorMode(v?.value)) {
+        return;
+      }
+      onChange({ ...config, mode: v.value });
+    },
+    [config, onChange]
+  );
+
+  const handleDownSamplingRateChanged = useCallback(
+    (v: number) => {
+      onChange({ ...config, down_sampling_rate: v });
+    },
+    [config, onChange]
+  );
+
+  return (
+    <ProcessorWrapper>
+      <FormControl>
+        <FormLabel m={0}>{t('controlnet.mode')}</FormLabel>
+        <Combobox value={tileModeValue} options={tileModeOptions} onChange={handleTileModeChange} />
+      </FormControl>
+      <FormControl>
+        <FormLabel m={0}>{t('controlnet.downsamplingRate')}</FormLabel>
+        <CompositeSlider
+          value={config.down_sampling_rate}
+          onChange={handleDownSamplingRateChanged}
+          defaultValue={DEFAULTS.down_sampling_rate}
+          min={0}
+          max={5}
+          step={0.1}
+          marks
+        />
+        <CompositeNumberInput
+          value={config.down_sampling_rate}
+          onChange={handleDownSamplingRateChanged}
+          defaultValue={DEFAULTS.down_sampling_rate}
+          min={0}
+          max={5}
+          step={0.1}
+        />
+      </FormControl>
+    </ProcessorWrapper>
+  );
+});
+
+TileProcessor.displayName = 'TileProcessor';

invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.test.ts

@@ -23,6 +23,7 @@ import type {
   PidiProcessorConfig,
   ProcessorConfig,
   ProcessorTypeV2,
+  TileProcessorConfig,
   ZoeDepthProcessorConfig,
 } from './controlAdapters';
 
@@ -58,6 +59,7 @@ describe('Control Adapter Types', () => {
     assert<Equals<_NormalbaeProcessorConfig, NormalbaeProcessorConfig>>();
     assert<Equals<_DWOpenposeProcessorConfig, DWOpenposeProcessorConfig>>();
     assert<Equals<_PidiProcessorConfig, PidiProcessorConfig>>();
+    assert<Equals<_TileProcessorConfig, TileProcessorConfig>>();
     assert<Equals<_ZoeDepthProcessorConfig, ZoeDepthProcessorConfig>>();
   });
 });
@@ -90,4 +92,7 @@ type _DWOpenposeProcessorConfig = Required<
   Pick<Invocation<'dw_openpose_image_processor'>, 'id' | 'type' | 'draw_body' | 'draw_face' | 'draw_hands'>
 >;
 type _PidiProcessorConfig = Required<Pick<Invocation<'pidi_image_processor'>, 'id' | 'type' | 'safe' | 'scribble'>>;
+type _TileProcessorConfig = Required<
+  Pick<Invocation<'tile_image_processor'>, 'id' | 'type' | 'down_sampling_rate' | 'mode'>
+>;
 type _ZoeDepthProcessorConfig = Required<Pick<Invocation<'zoe_depth_image_processor'>, 'id' | 'type'>>;

invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts

@@ -114,6 +114,14 @@ const zPidiProcessorConfig = z.object({
 });
 export type PidiProcessorConfig = z.infer<typeof zPidiProcessorConfig>;
 
+const zTileProcessorConfig = z.object({
+  id: zId,
+  type: z.literal('tile_image_processor'),
+  down_sampling_rate: z.number().gte(0),
+  mode: z.enum(['regular', 'blur', 'var', 'super']),
+});
+export type TileProcessorConfig = z.infer<typeof zTileProcessorConfig>;
+
 const zZoeDepthProcessorConfig = z.object({
   id: zId,
   type: z.literal('zoe_depth_image_processor'),
@@ -134,6 +142,7 @@ const zProcessorConfig = z.discriminatedUnion('type', [
   zNormalbaeProcessorConfig,
   zDWOpenposeProcessorConfig,
   zPidiProcessorConfig,
+  zTileProcessorConfig,
   zZoeDepthProcessorConfig,
 ]);
 export type ProcessorConfig = z.infer<typeof zProcessorConfig>;
@@ -212,6 +221,7 @@ const zProcessorTypeV2 = z.enum([
   'normalbae_image_processor',
   'dw_openpose_image_processor',
   'pidi_image_processor',
+  'tile_image_processor',
   'zoe_depth_image_processor',
 ]);
 export type ProcessorTypeV2 = z.infer<typeof zProcessorTypeV2>;
@@ -453,6 +463,22 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = {
       image_resolution: minDim(image),
     }),
   },
+  tile_image_processor: {
+    type: 'tile_image_processor',
+    labelTKey: 'controlnet.tile',
+    descriptionTKey: 'controlnet.tileDescription',
+    buildDefaults: () => ({
+      id: 'tile_image_processor',
+      type: 'tile_image_processor',
+      down_sampling_rate: 1.0,
+      mode: 'regular',
+    }),
+    buildNode: (image, config) => ({
+      ...config,
+      type: 'tile_image_processor',
+      image: { image_name: image.name },
+    }),
+  },
   zoe_depth_image_processor: {
     type: 'zoe_depth_image_processor',
     labelTKey: 'controlnet.depthZoe',

invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelPanel/ControlNetOrT2IAdapterDefaultSettings/DefaultPreprocessor.tsx

@@ -15,6 +15,7 @@ const OPTIONS = [
   { label: 'Depth Anything', value: 'depth_anything_image_processor' },
   { label: 'Normal BAE', value: 'normalbae_image_processor' },
   { label: 'Pidi', value: 'pidi_image_processor' },
+  { label: 'Tile', value: 'tile_image_processor' },
   { label: 'Lineart', value: 'lineart_image_processor' },
   { label: 'Lineart Anime', value: 'lineart_anime_image_processor' },
   { label: 'HED', value: 'hed_image_processor' },