diff --git a/docs/openapi.json b/docs/openapi.json
index 9199149..f3c64c2 100755
--- a/docs/openapi.json
+++ b/docs/openapi.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/examples/examples.py b/examples/examples.py
index e59001c..53d9d0c 100644
--- a/examples/examples.py
+++ b/examples/examples.py
@@ -24,194 +24,18 @@ class Config():
 cfg = Config()
 
 upscale_params = {
-  "prompt": "",
-  "negative_prompt": "",
-  "style_selections": [
-    "Fooocus V2",
-    "Fooocus Enhance",
-    "Fooocus Sharp"
-  ],
-  "performance_selection": "Speed",
-  "aspect_ratios_selection": "1152*896",
-  "image_number": 1,
-  "image_seed": -1,
-  "sharpness": 2,
-  "guidance_scale": 4,
-  "base_model_name": "juggernautXL_version6Rundiffusion.safetensors",
-  "refiner_model_name": "None",
-  "refiner_switch": 0.5,
-  "loras": [
-    {
-      "model_name": "sd_xl_offset_example-lora_1.0.safetensors",
-      "weight": 0.1
-    }
-  ],
-  "advanced_params": {
-    "disable_preview": False,
-    "adm_scaler_positive": 1.5,
-    "adm_scaler_negative": 0.8,
-    "adm_scaler_end": 0.3,
-    "refiner_swap_method": "joint",
-    "adaptive_cfg": 7,
-    "sampler_name": "dpmpp_2m_sde_gpu",
-    "scheduler_name": "karras",
-    "overwrite_step": -1,
-    "overwrite_switch": -1,
-    "overwrite_width": -1,
-    "overwrite_height": -1,
-    "overwrite_vary_strength": -1,
-    "overwrite_upscale_strength": -1,
-    "mixing_image_prompt_and_vary_upscale": False,
-    "mixing_image_prompt_and_inpaint": False,
-    "debugging_cn_preprocessor": False,
-    "skipping_cn_preprocessor": False,
-    "controlnet_softness": 0.25,
-    "canny_low_threshold": 64,
-    "canny_high_threshold": 128,
-    "freeu_enabled": False,
-    "freeu_b1": 1.01,
-    "freeu_b2": 1.02,
-    "freeu_s1": 0.99,
-    "freeu_s2": 0.95,
-    "debugging_inpaint_preprocessor": False,
-    "inpaint_disable_initial_latent": False,
-    "inpaint_engine": inpaint_engine,
-    "inpaint_strength": 1,
-    "inpaint_respective_field": 1
-  },
-  "require_base64": False,
-  "async_process": False,
   "uov_method": "Upscale (Custom)",
   "upscale_value": 3,
   "input_image": ""
 }
 
 inpaint_params = {
-  "prompt": "",
-  "negative_prompt": "",
-  "style_selections": [
-    "Fooocus V2",
-    "Fooocus Enhance",
-    "Fooocus Sharp"
-  ],
-  "performance_selection": "Speed",
-  "aspect_ratios_selection": "1152*896",
-  "image_number": 1,
-  "image_seed": -1,
-  "sharpness": 2,
-  "guidance_scale": 4,
-  "base_model_name": "juggernautXL_version6Rundiffusion.safetensors",
-  "refiner_model_name": "None",
-  "refiner_switch": 0.5,
-  "loras": [
-    {
-      "model_name": "sd_xl_offset_example-lora_1.0.safetensors",
-      "weight": 0.1
-    }
-  ],
-  "advanced_params": {
-    "disable_preview": False,
-    "adm_scaler_positive": 1.5,
-    "adm_scaler_negative": 0.8,
-    "adm_scaler_end": 0.3,
-    "refiner_swap_method": "joint",
-    "adaptive_cfg": 7,
-    "sampler_name": "dpmpp_2m_sde_gpu",
-    "scheduler_name": "karras",
-    "overwrite_step": -1,
-    "overwrite_switch": -1,
-    "overwrite_width": -1,
-    "overwrite_height": -1,
-    "overwrite_vary_strength": -1,
-    "overwrite_upscale_strength": -1,
-    "mixing_image_prompt_and_vary_upscale": False,
-    "mixing_image_prompt_and_inpaint": False,
-    "debugging_cn_preprocessor": False,
-    "skipping_cn_preprocessor": False,
-    "controlnet_softness": 0.25,
-    "canny_low_threshold": 64,
-    "canny_high_threshold": 128,
-    "freeu_enabled": False,
-    "freeu_b1": 1.01,
-    "freeu_b2": 1.02,
-    "freeu_s1": 0.99,
-    "freeu_s2": 0.95,
-    "debugging_inpaint_preprocessor": False,
-    "inpaint_disable_initial_latent": False,
-    "inpaint_engine": inpaint_engine,
-    "inpaint_strength": 1,
-    "inpaint_respective_field": 1
-  },
-  "require_base64": False,
-  "async_process": False,
   "input_image": "",
   "input_mask": None,
   "inpaint_additional_prompt": None,
-  "outpaint_selections": [],
-  "outpaint_distance_left": 0,
-  "outpaint_distance_right": 0,
-  "outpaint_distance_top": 0,
-  "outpaint_distance_bottom": 0,
 }
 
 img_prompt_params = {
-  "prompt": "",
-  "negative_prompt": "",
-  "style_selections": [
-    "Fooocus V2",
-    "Fooocus Enhance",
-    "Fooocus Sharp"
-  ],
-  "performance_selection": "Speed",
-  "aspect_ratios_selection": "1152*896",
-  "image_number": 1,
-  "image_seed": -1,
-  "sharpness": 2,
-  "guidance_scale": 4,
-  "base_model_name": "juggernautXL_version6Rundiffusion.safetensors",
-  "refiner_model_name": "None",
-  "refiner_switch": 0.5,
-  "loras": [
-    {
-      "model_name": "sd_xl_offset_example-lora_1.0.safetensors",
-      "weight": 0.1
-    }
-  ],
-  "advanced_params": {
-    "disable_preview": False,
-    "adm_scaler_positive": 1.5,
-    "adm_scaler_negative": 0.8,
-    "adm_scaler_end": 0.3,
-    "refiner_swap_method": "joint",
-    "adaptive_cfg": 7,
-    "sampler_name": "dpmpp_2m_sde_gpu",
-    "scheduler_name": "karras",
-    "overwrite_step": -1,
-    "overwrite_switch": -1,
-    "overwrite_width": -1,
-    "overwrite_height": -1,
-    "overwrite_vary_strength": -1,
-    "overwrite_upscale_strength": -1,
-    "mixing_image_prompt_and_vary_upscale": False,
-    "mixing_image_prompt_and_inpaint": False,
-    "debugging_cn_preprocessor": False,
-    "skipping_cn_preprocessor": False,
-    "controlnet_softness": 0.25,
-    "canny_low_threshold": 64,
-    "canny_high_threshold": 128,
-    "freeu_enabled": False,
-    "freeu_b1": 1.01,
-    "freeu_b2": 1.02,
-    "freeu_s1": 0.99,
-    "freeu_s2": 0.95,
-    "debugging_inpaint_preprocessor": False,
-    "inpaint_disable_initial_latent": False,
-    "inpaint_engine": inpaint_engine,
-    "inpaint_strength": 1,
-    "inpaint_respective_field": 1
-  },
-  "require_base64": False,
-  "async_process": False,
   "image_prompts": []
 }
 
@@ -221,7 +45,7 @@ class Config():
 
 imgs_base_path = os.path.join(os.path.dirname(__file__), 'imgs')
 
-with open(os.path.join(imgs_base_path, "1485005453352708.jpeg"), "rb") as f:
+with open(os.path.join(imgs_base_path, "bear.jpg"), "rb") as f:
     img1 = f.read()
     image_base64 = base64.b64encode(img1).decode('utf-8')  
     f.close()
@@ -268,7 +92,6 @@ def image_prompt(img_prompt: list, params: dict) -> dict:
     """
     Image Prompt
     """
-    params["prompt"] = "cat"
     params["image_prompts"] = img_prompt
     data = json.dumps(params)
     response = requests.post(url=f"{cfg.fooocus_host}{cfg.img_prompt}",
@@ -277,6 +100,21 @@ def image_prompt(img_prompt: list, params: dict) -> dict:
                         timeout=300)
     return response.json()
 
+def image_prompt_with_inpaint(img_prompt: list, input_image: str, input_mask: str, params: dict) -> dict:
+    """
+    Image Prompt
+    """
+    params["image_prompts"] = img_prompt
+    params["input_image"] = input_image
+    params["input_mask"] = input_mask
+    params["outpaint_selections"] = ["Left", "Right"]
+    data = json.dumps(params)
+    response = requests.post(url=f"{cfg.fooocus_host}{cfg.img_prompt}",
+                        data=data,
+                        headers=headers,
+                        timeout=300)
+    return response.json()
+
 
 img_prompt = [
     {
@@ -284,13 +122,9 @@ def image_prompt(img_prompt: list, params: dict) -> dict:
         "cn_stop": 0.6,
         "cn_weight": 0.6,
         "cn_type": "ImagePrompt"
-    },{
-        "cn_img": s_base64,
-        "cn_stop": 0.6,
-        "cn_weight": 0.6,
-        "cn_type": "ImagePrompt"
     }
 ]
-print(upscale_vary(image=image_base64))
+# print(upscale_vary(image=image_base64))
 # print(inpaint_outpaint(input_image=s_base64, input_mask=m_base64))
 # print(image_prompt(img_prompt=img_prompt, params=img_prompt_params))
+print(image_prompt_with_inpaint(img_prompt=img_prompt, input_image=s_base64, input_mask=m_base64, params=img_prompt_params))
\ No newline at end of file
diff --git a/examples/examples_v1.py b/examples/examples_v1.py
index 5a4fa69..960a0fc 100644
--- a/examples/examples_v1.py
+++ b/examples/examples_v1.py
@@ -2,6 +2,7 @@
 import requests
 import os
 import base64
+from examples.models import ControlNetEnum, ImagePromptParams, ImagePromptParamsJson, ImgInpaintOrOutpaintParams, ImgInpaintOrOutpaintParamsJson, ImgUpscaleOrVaryParams, ImgUpscaleOrVaryParamsJson, Text2ImgParams, UpscaleOrVaryMethod
 
 from models import *
 
@@ -24,9 +25,9 @@ def txt2img(params: Text2ImgParams) -> dict:
     """
     text to image
     """
-    date = json.dumps(params.model_dump())
+    data = json.dumps(params.model_dump())
     response = requests.post(url=f"{cfg.fooocus_host}{cfg.text2img}",
-                        data=date,
+                        data=data,
                         timeout=30)
     return response.json()
 
@@ -111,7 +112,7 @@ def image_prompt_v2(params: ImagePromptParamsJson = ImagePromptParamsJson()) ->
 if __name__ == '__main__':
     imgs_base_path = os.path.join(os.path.dirname(__file__), 'imgs')
 
-    input_image = open(os.path.join(imgs_base_path,'1485005453352708.jpeg'), 'rb').read()
+    input_image = open(os.path.join(imgs_base_path,'bear.jpg'), 'rb').read()
     input_source = open(os.path.join(imgs_base_path,'s.jpg'), 'rb').read()
     input_mask = open(os.path.join(imgs_base_path,'m.png'), 'rb').read()
 
diff --git a/examples/imgs/1485005453352708.jpeg b/examples/imgs/1485005453352708.jpeg
deleted file mode 100644
index a123861..0000000
Binary files a/examples/imgs/1485005453352708.jpeg and /dev/null differ
diff --git a/examples/imgs/bear.jpg b/examples/imgs/bear.jpg
new file mode 100644
index 0000000..b9fa8b2
Binary files /dev/null and b/examples/imgs/bear.jpg differ
diff --git a/fooocusapi/api.py b/fooocusapi/api.py
index 49fc559..8b15a79 100644
--- a/fooocusapi/api.py
+++ b/fooocusapi/api.py
@@ -61,10 +61,10 @@ def call_worker(req: Text2ImgRequest, accept: str):
     task_type = TaskType.text_2_img
     if isinstance(req, ImgUpscaleOrVaryRequest) or isinstance(req, ImgUpscaleOrVaryRequestJson):
         task_type = TaskType.img_uov
-    elif isinstance(req, ImgInpaintOrOutpaintRequest) or isinstance(req, ImgInpaintOrOutpaintRequestJson):
-        task_type = TaskType.img_inpaint_outpaint
     elif isinstance(req, ImgPromptRequest) or isinstance(req, ImgPromptRequestJson):
         task_type = TaskType.img_prompt
+    elif isinstance(req, ImgInpaintOrOutpaintRequest) or isinstance(req, ImgInpaintOrOutpaintRequestJson):
+        task_type = TaskType.img_inpaint_outpaint
 
     params = req_to_params(req)
     queue_task = task_queue.add_task(
@@ -217,6 +217,11 @@ def img_prompt(req: ImgPromptRequestJson,
     else:
         streaming_output = False
 
+    if req.input_image is not None:
+        req.input_image = base64_to_stream(req.input_image)
+    if req.input_mask is not None:
+        req.input_mask = base64_to_stream(req.input_mask)
+    
     default_image_promt = ImagePrompt(cn_img=None)
     image_prompts_files: List[ImagePrompt] = []
     for img_prompt in req.image_prompts:
diff --git a/fooocusapi/api_utils.py b/fooocusapi/api_utils.py
index f2acfd0..2768d20 100644
--- a/fooocusapi/api_utils.py
+++ b/fooocusapi/api_utils.py
@@ -79,12 +79,16 @@ def req_to_params(req: Text2ImgRequest) -> ImageGenerationParams:
 
     image_prompts = []
     if isinstance(req, ImgPromptRequest) or isinstance(req, ImgPromptRequestJson):
+        # Auto set mixing_image_prompt_and_inpaint to True
+        if len(req.image_prompts) > 0 and req.input_image is not None and req.advanced_params is not None:
+            req.advanced_params.mixing_image_prompt_and_inpaint = True
+
         for img_prompt in req.image_prompts:
             if img_prompt.cn_img is not None:
                 cn_img = read_input_image(img_prompt.cn_img)
-                if img_prompt.cn_stop is None:
+                if img_prompt.cn_stop is None or img_prompt.cn_stop == 0:
                     img_prompt.cn_stop = flags.default_parameters[img_prompt.cn_type.value][0]
-                if img_prompt.cn_weight is None:
+                if img_prompt.cn_weight is None or img_prompt.cn_weight == 0:
                     img_prompt.cn_weight = flags.default_parameters[img_prompt.cn_type.value][1]
                 image_prompts.append(
                     (cn_img, img_prompt.cn_stop, img_prompt.cn_weight, img_prompt.cn_type.value))
diff --git a/fooocusapi/img_utils.py b/fooocusapi/img_utils.py
index 3543b2d..abf2e9c 100644
--- a/fooocusapi/img_utils.py
+++ b/fooocusapi/img_utils.py
@@ -35,7 +35,9 @@ def read_input_image(input_image: UploadFile) -> np.ndarray:
     image = np.array(pil_image)
     return image
 
-def base64_to_stream(image: str) -> UploadFile:
+def base64_to_stream(image: str) -> UploadFile | None:
+    if image == '':
+        return None
     if image.startswith('data:image'):
         image = image.split(sep=',', maxsplit=1)[1]
     image_bytes = base64.b64decode(image)
diff --git a/fooocusapi/models.py b/fooocusapi/models.py
index 316da77..dd1f0f3 100644
--- a/fooocusapi/models.py
+++ b/fooocusapi/models.py
@@ -4,16 +4,14 @@
 from fastapi.params import File
 from fastapi.exceptions import RequestValidationError
 
-from pydantic import BaseModel, ConfigDict, Field, TypeAdapter, ValidationError, parse_obj_as
+from pydantic import BaseModel, ConfigDict, Field, TypeAdapter, ValidationError
 from pydantic_core import InitErrorDetails
 
 from typing import List
 from enum import Enum
 
 from fooocusapi.parameters import GenerationFinishReason, defualt_styles, default_base_model_name, default_refiner_model_name, default_refiner_switch, default_loras, default_cfg_scale, default_prompt_negative, default_aspect_ratio, default_sampler, default_scheduler
-from fooocusapi.task_queue import QueueTask, TaskType
-
-from modules import flags
+from fooocusapi.task_queue import TaskType
 
 class Lora(BaseModel):
     model_name: str
@@ -196,10 +194,10 @@ def as_form(cls, input_image: UploadFile = Form(description="Init image for inpa
                 outpaint_selections: List[str] = Form(
                     [], description="Outpaint expansion selections, literal 'Left', 'Right', 'Top', 'Bottom' seperated by comma"),
                 
-                outpaint_distance_left: int = Form(default=0, description="Set outpaint left distance, 0 for default"),
-                outpaint_distance_right: int = Form(default=0, description="Set outpaint right distance, 0 for default"),
-                outpaint_distance_top: int = Form(default=0, description="Set outpaint top distance, 0 for default"),
-                outpaint_distance_bottom: int = Form(default=0, description="Set outpaint bottom distance, 0 for default"),
+                outpaint_distance_left: int = Form(default=0, description="Set outpaint left distance, -1 for default"),
+                outpaint_distance_right: int = Form(default=0, description="Set outpaint right distance, -1 for default"),
+                outpaint_distance_top: int = Form(default=0, description="Set outpaint top distance, -1 for default"),
+                outpaint_distance_bottom: int = Form(default=0, description="Set outpaint bottom distance, -1 for default"),
                 prompt: str = Form(''),
                 negative_prompt: str = Form(default_prompt_negative),
                 style_selections: List[str] = Form(defualt_styles, description="Fooocus style selections, seperated by comma"),
@@ -258,7 +256,7 @@ def as_form(cls, input_image: UploadFile = Form(description="Init image for inpa
                 errs = ve.errors()
                 raise RequestValidationError(errors=[errs])
 
-        return cls(input_image=input_image, input_mask=input_mask, inpaint_additional_prompt=inpaint_additional_prompt,outpaint_selections=outpaint_selections_arr,
+        return cls(input_image=input_image, input_mask=input_mask, inpaint_additional_prompt=inpaint_additional_prompt, outpaint_selections=outpaint_selections_arr,
                    outpaint_distance_left=outpaint_distance_left, outpaint_distance_right=outpaint_distance_right, outpaint_distance_top=outpaint_distance_top, outpaint_distance_bottom=outpaint_distance_bottom,
                    prompt=prompt, negative_prompt=negative_prompt, style_selections=style_selection_arr,
                    performance_selection=performance_selection, aspect_ratios_selection=aspect_ratios_selection,
@@ -267,11 +265,19 @@ def as_form(cls, input_image: UploadFile = Form(description="Init image for inpa
                    loras=loras_model, advanced_params=advanced_params_obj, require_base64=require_base64, async_process=async_process)
 
 
-class ImgPromptRequest(Text2ImgRequest):
+class ImgPromptRequest(ImgInpaintOrOutpaintRequest):
     image_prompts: List[ImagePrompt]
 
     @classmethod
-    def as_form(cls, cn_img1: UploadFile = Form(File(None), description="Input image for image prompt"),
+    def as_form(cls, input_image: UploadFile = Form(Field(None), description="Init image for inpaint or outpaint"),
+                input_mask: UploadFile = Form(File(None), description="Inpaint or outpaint mask"),
+                inpaint_additional_prompt: str | None = Form(None, description="Describe what you want to inpaint"),
+                outpaint_selections: List[str] = Form([], description="Outpaint expansion selections, literal 'Left', 'Right', 'Top', 'Bottom' seperated by comma"),
+                outpaint_distance_left: int = Form(default=0, description="Set outpaint left distance, 0 for default"),
+                outpaint_distance_right: int = Form(default=0, description="Set outpaint right distance, 0 for default"),
+                outpaint_distance_top: int = Form(default=0, description="Set outpaint top distance, 0 for default"),
+                outpaint_distance_bottom: int = Form(default=0, description="Set outpaint bottom distance, 0 for default"),
+                cn_img1: UploadFile = Form(File(None), description="Input image for image prompt"),
                 cn_stop1: float | None = Form(
                     default=None, ge=0, le=1, description="Stop at for image prompt, None for default value"),
                 cn_weight1: float | None = Form(
@@ -321,6 +327,10 @@ def as_form(cls, cn_img1: UploadFile = Form(File(None), description="Input image
                 require_base64: bool = Form(default=False, description="Return base64 data of generated image"),
                 async_process: bool = Form(default=False, description="Set to true will run async and return job info for retrieve generataion result later"),
                 ):
+        if isinstance(input_image, File):
+            input_image = None
+        if isinstance(input_mask, File):
+            input_mask = None
         if isinstance(cn_img1, File):
             cn_img1 = None
         if isinstance(cn_img2, File):
@@ -330,6 +340,18 @@ def as_form(cls, cn_img1: UploadFile = Form(File(None), description="Input image
         if isinstance(cn_img4, File):
             cn_img4 = None
 
+        outpaint_selections_arr: List[OutpaintExpansion] = []
+        for part in outpaint_selections:
+            if len(part) > 0:
+                for s in part.split(','):
+                    try:
+                        expansion = OutpaintExpansion(s)
+                        outpaint_selections_arr.append(expansion)
+                    except ValueError as ve:
+                        err = InitErrorDetails(type='enum', loc=['outpaint_selections'], input=outpaint_selections, ctx={
+                            'expected': "Literal 'Left', 'Right', 'Top', 'Bottom' seperated by comma"})
+                        raise RequestValidationError(errors=[err])
+
         image_prompts: List[ImagePrompt] = []
         image_prompt_config = [(cn_img1, cn_stop1, cn_weight1, cn_type1), (cn_img2, cn_stop2, cn_weight2, cn_type2),
                                (cn_img3, cn_stop3, cn_weight3, cn_type3), (cn_img4, cn_stop4, cn_weight4, cn_type4)]
@@ -361,7 +383,9 @@ def as_form(cls, cn_img1: UploadFile = Form(File(None), description="Input image
                 errs = ve.errors()
                 raise RequestValidationError(errors=[errs])
 
-        return cls(image_prompts=image_prompts, prompt=prompt, negative_prompt=negative_prompt, style_selections=style_selection_arr,
+        return cls(input_image=input_image, input_mask=input_mask, inpaint_additional_prompt=inpaint_additional_prompt, outpaint_selections=outpaint_selections_arr,
+                   outpaint_distance_left=outpaint_distance_left, outpaint_distance_right=outpaint_distance_right, outpaint_distance_top=outpaint_distance_top, outpaint_distance_bottom=outpaint_distance_bottom,
+                   image_prompts=image_prompts, prompt=prompt, negative_prompt=negative_prompt, style_selections=style_selection_arr,
                    performance_selection=performance_selection, aspect_ratios_selection=aspect_ratios_selection,
                    image_number=image_number, image_seed=image_seed, sharpness=sharpness, guidance_scale=guidance_scale,
                    base_model_name=base_model_name, refiner_model_name=refiner_model_name, refiner_switch=refiner_switch,
diff --git a/fooocusapi/models_v2.py b/fooocusapi/models_v2.py
index e3ec1e1..2382485 100644
--- a/fooocusapi/models_v2.py
+++ b/fooocusapi/models_v2.py
@@ -3,27 +3,28 @@
 
 class ImgUpscaleOrVaryRequestJson(Text2ImgRequest):
     uov_method: UpscaleOrVaryMethod = "Upscale (2x)"
-    upscale_value: float | None = Field(None, ge=1.0, le=5.0, description="Upscale custom value, None for default value")
+    upscale_value: float | None = Field(1.0, ge=1.0, le=5.0, description="Upscale custom value, 1.0 for default value")
     input_image: str = Field(description="Init image for upsacale or outpaint as base64")
 
 
 class ImgInpaintOrOutpaintRequestJson(Text2ImgRequest):
     input_image: str = Field(description="Init image for inpaint or outpaint as base64")
-    input_mask: str | None = Field(None, description="Inpaint or outpaint mask as base64")
-    inpaint_additional_prompt: str | None = Field(None, description="Describe what you want to inpaint")
+    input_mask: str | None = Field('', description="Inpaint or outpaint mask as base64")
+    inpaint_additional_prompt: str | None = Field('', description="Describe what you want to inpaint")
     outpaint_selections: List[OutpaintExpansion] = []
-    outpaint_distance_left: int = Field(default=0, description="Set outpaint left distance"),
-    outpaint_distance_right: int = Field(default=0, description="Set outpaint right distance"),
-    outpaint_distance_top: int = Field(default=0, description="Set outpaint top distance"),
-    outpaint_distance_bottom: int = Field(default=0, description="Set outpaint bottom distance"),
+    outpaint_distance_left: int | None = Field(-1, description="Set outpaint left distance")
+    outpaint_distance_right: int | None = Field(-1, description="Set outpaint right distance")
+    outpaint_distance_top: int | None = Field(-1, description="Set outpaint top distance")
+    outpaint_distance_bottom: int | None = Field(-1, description="Set outpaint bottom distance")
 
 
 class ImagePromptJson(BaseModel):
     cn_img: str | None = Field(None, description="Input image for image prompt as base64")
-    cn_stop: float | None = Field(None, ge=0, le=1, description="Stop at for image prompt, None for default value")
-    cn_weight: float | None = Field(None, ge=0, le=2, description="Weight for image prompt, None for default value")
+    cn_stop: float | None = Field(0, ge=0, le=1, description="Stop at for image prompt, 0 for default value")
+    cn_weight: float | None = Field(0, ge=0, le=2, description="Weight for image prompt, 0 for default value")
     cn_type: ControlNetType = Field(default=ControlNetType.cn_ip, description="ControlNet type for image prompt")
 
 
-class ImgPromptRequestJson(Text2ImgRequest):
+class ImgPromptRequestJson(ImgInpaintOrOutpaintRequestJson):
+    input_image: str | None = Field(None, description="Init image for inpaint or outpaint as base64")
     image_prompts: List[ImagePromptJson | ImagePrompt]
diff --git a/fooocusapi/parameters.py b/fooocusapi/parameters.py
index 67e90e5..da66654 100644
--- a/fooocusapi/parameters.py
+++ b/fooocusapi/parameters.py
@@ -159,6 +159,10 @@ def __init__(self, prompt: str,
             inpaint_strength = 1.0
             inpaint_respective_field = 0.618
 
+            # Auto set mixing_image_prompt_and_inpaint to True
+            if len(self.image_prompts) > 0 and inpaint_input_image is not None:
+                mixing_image_prompt_and_inpaint = True
+
             self.advanced_params = [
                 disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, \
                 scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, \
diff --git a/fooocusapi/worker.py b/fooocusapi/worker.py
index e561440..f7564c9 100644
--- a/fooocusapi/worker.py
+++ b/fooocusapi/worker.py
@@ -121,7 +121,7 @@ def yield_result(_, imgs, tasks):
         refiner_switch = params.refiner_switch
         loras = params.loras
         input_image_checkbox = params.uov_input_image is not None or params.inpaint_input_image is not None or len(params.image_prompts) > 0
-        current_tab = 'uov' if params.uov_method != flags.disabled else 'inpaint' if params.inpaint_input_image is not None else 'ip' if len(params.image_prompts) > 0 else None
+        current_tab = 'uov' if params.uov_method != flags.disabled else 'ip' if len(params.image_prompts) > 0 else 'inpaint' if params.inpaint_input_image is not None else None
         uov_method = params.uov_method
         upscale_value = params.upscale_value
         uov_input_image = params.uov_input_image
@@ -470,7 +470,7 @@ def yield_result(_, imgs, tasks):
             print(f'Image upscaled.')
 
             f = 1.0
-            if upscale_value is not None:
+            if upscale_value is not None and upscale_value > 1.0:
                 f = upscale_value
             else:
                 pattern = r"([0-9]+(?:\.[0-9]+)?)x"