diff --git a/README.md b/README.md
index e6a16dd..d78aab9 100644
--- a/README.md
+++ b/README.md
@@ -177,7 +177,7 @@ You can add `-e PIP_INDEX_URL={pypi-mirror-url}` to docker run command to change
 - `--sync-repo SYNC_REPO` Sync dependent git repositories to local, 'skip' for skip sync action, 'only' for only do the sync action and not launch app
 - `--skip-pip` Skip automatic pip install when setup
 - `--preload-pipeline` Preload pipeline before start http server
-- `--queue-size QUEUE_SIZE` Working queue size, default: 3, generation requests exceeding working queue size will return failure
+- `--queue-size QUEUE_SIZE` Working queue size, default: 100, generation requests exceeding working queue size will return failure
 - `--queue-history QUEUE_HISTORY` Finished jobs reserve size, tasks exceeding the limit will be deleted, including output image files, default: 0, means no limit
 - `--webhook-url WEBHOOK_URL` Webhook url for notify generation result, default: None
 - `--persistent` Store history to db
diff --git a/README_zh.md b/README_zh.md
index 46f6b67..588ccb6 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -177,7 +177,7 @@ docker run -d --gpus=all \
 - `--sync-repo SYNC_REPO` 同步 Fooocus 仓库到本地，`skip` 用于在启动时跳过同步，`only` 只同步不启动程序
 - `--skip-pip` 跳过启动时的 pip 安装
 - `--preload-pipeline` 启动 http server 之前加载 pipeline
-- `--queue-size QUEUE_SIZE` 工作队列大小，默认是 3 ，超过队列的请求会返回失败
+- `--queue-size QUEUE_SIZE` 工作队列大小，默认是 100 ，超过队列的请求会返回失败
 - `--queue-history QUEUE_HISTORY` 保留的作业历史，默认 0 即无限制，超过会被删除，包括生成的图像
 - `--webhook-url WEBHOOK_URL` 通知生成结果的 webhook 地址，默认为 None
 - `--persistent` 持久化历史记录到SQLite数据库，默认关闭
diff --git a/docs/api_doc_en.md b/docs/api_doc_en.md
index 404ce52..80ee129 100644
--- a/docs/api_doc_en.md
+++ b/docs/api_doc_en.md
@@ -193,8 +193,8 @@ print(json.dumps(result, indent=4, ensure_ascii=False))
 **base info：**
 
 ```yaml
-EndPoint_V1: /v1/generation/image-inpait-outpaint
-EndPoint_V2: /v2/generation/image-inpait-outpaint
+EndPoint_V1: /v1/generation/image-inpaint-outpaint
+EndPoint_V2: /v2/generation/image-inpaint-outpaint
 Method: Post
 DataType: form|json
 ```
@@ -232,7 +232,7 @@ def inpaint_outpaint(params: dict, input_image: bytes, input_mask: bytes = None)
     """
     example for inpaint outpaint v1
     """
-    response = requests.post(url=f"{host}/v1/generation/image-inpait-outpaint",
+    response = requests.post(url=f"{host}/v1/generation/image-inpaint-outpaint",
                         data=params,
                         files={"input_image": input_image,
                                "input_mask": input_mask})
@@ -287,7 +287,7 @@ def inpaint_outpaint(params: dict) -> dict:
     """
     example for inpaint outpaint v2
     """
-    response = requests.post(url=f"{host}/v2/generation/image-inpait-outpaint",
+    response = requests.post(url=f"{host}/v2/generation/image-inpaint-outpaint",
                         data=json.dumps(params),
                         headers={"Content-Type": "application/json"})
     return response.json()
diff --git a/docs/api_doc_zh.md b/docs/api_doc_zh.md
index c74265c..6aa9e66 100644
--- a/docs/api_doc_zh.md
+++ b/docs/api_doc_zh.md
@@ -193,8 +193,8 @@ print(json.dumps(result, indent=4, ensure_ascii=False))
 **基础信息：**
 
 ```yaml
-EndPoint_V1: /v1/generation/image-inpait-outpaint
-EndPoint_V2: /v2/generation/image-inpait-outpaint
+EndPoint_V1: /v1/generation/image-inpaint-outpaint
+EndPoint_V2: /v2/generation/image-inpaint-outpaint
 Method: Post
 DataType: form|json
 ```
@@ -232,7 +232,7 @@ def inpaint_outpaint(params: dict, input_image: bytes, input_mask: bytes = None)
     """
     局部重绘 v1 接口示例
     """
-    response = requests.post(url=f"{host}/v1/generation/image-inpait-outpaint",
+    response = requests.post(url=f"{host}/v1/generation/image-inpaint-outpaint",
                         data=params,
                         files={"input_image": input_image,
                                "input_mask": input_mask})
@@ -287,7 +287,7 @@ def inpaint_outpaint(params: dict) -> dict:
     """
     局部重绘 v1 接口示例
     """
-    response = requests.post(url=f"{host}/v2/generation/image-inpait-outpaint",
+    response = requests.post(url=f"{host}/v2/generation/image-inpaint-outpaint",
                         data=json.dumps(params),
                         headers={"Content-Type": "application/json"})
     return response.json()
diff --git a/docs/openapi.json b/docs/openapi.json
index 55f0472..45862fb 100755
--- a/docs/openapi.json
+++ b/docs/openapi.json
@@ -1 +1 @@
-{"openapi":"3.1.0","info":{"title":"FastAPI","version":"0.1.0"},"paths":{"/":{"get":{"summary":"Home","operationId":"home__get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/ping":{"get":{"summary":"Ping","description":"Returns a simple 'pong' response","operationId":"ping_ping_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{}}}}}}},"/v1/generation/text-to-image":{"post":{"summary":"Text2Img Generation","operationId":"text2img_generation_v1_generation_text_to_image_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Text2ImgRequest"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Text2Img Generation V1 Generation Text To Image Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/generation/text-to-image-with-ip":{"post":{"summary":"Text To Img With Ip","operationId":"text_to_img_with_ip_v2_generation_text_to_image_with_ip_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/Text2ImgRequestWithPrompt"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Text To Img With Ip V2 Generation Text To Image With Ip Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/generation/image-upscale-vary":{"post":{"summary":"Img Upscale Or Vary","operationId":"img_upscale_or_vary_v1_generation_image_upscale_vary_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"multipart/form-data":{"schema":{"$ref":"#/components/schemas/Body_img_upscale_or_vary_v1_generation_image_upscale_vary_post"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Upscale Or Vary V1 Generation Image Upscale Vary Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/generation/image-upscale-vary":{"post":{"summary":"Img Upscale Or Vary V2","operationId":"img_upscale_or_vary_v2_v2_generation_image_upscale_vary_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ImgUpscaleOrVaryRequestJson"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Upscale Or Vary V2 V2 Generation Image Upscale Vary Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/generation/image-inpait-outpaint":{"post":{"summary":"Img Inpaint Or Outpaint","operationId":"img_inpaint_or_outpaint_v1_generation_image_inpait_outpaint_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"multipart/form-data":{"schema":{"$ref":"#/components/schemas/Body_img_inpaint_or_outpaint_v1_generation_image_inpait_outpaint_post"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Inpaint Or Outpaint V1 Generation Image Inpait Outpaint Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/generation/image-inpait-outpaint":{"post":{"summary":"Img Inpaint Or Outpaint V2","operationId":"img_inpaint_or_outpaint_v2_v2_generation_image_inpait_outpaint_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ImgInpaintOrOutpaintRequestJson"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Inpaint Or Outpaint V2 V2 Generation Image Inpait Outpaint Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/generation/image-prompt":{"post":{"summary":"Img Prompt","operationId":"img_prompt_v1_generation_image_prompt_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"content":{"multipart/form-data":{"schema":{"allOf":[{"$ref":"#/components/schemas/Body_img_prompt_v1_generation_image_prompt_post"}],"title":"Body"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Prompt V1 Generation Image Prompt Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v2/generation/image-prompt":{"post":{"summary":"Img Prompt","operationId":"img_prompt_v2_generation_image_prompt_post","parameters":[{"name":"accept","in":"query","required":false,"schema":{"anyOf":[{"type":"string"},{"type":"null"}],"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes","title":"Accept"},"description":"Parameter to overvide 'Accept' header, 'image/png' for output bytes"},{"name":"accept","in":"header","required":false,"schema":{"type":"string","title":"Accept"}}],"requestBody":{"required":true,"content":{"application/json":{"schema":{"$ref":"#/components/schemas/ImgPromptRequestJson"}}}},"responses":{"200":{"description":"PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON","content":{"application/json":{"schema":{"anyOf":[{"type":"array","items":{"$ref":"#/components/schemas/GeneratedImageResult"}},{"$ref":"#/components/schemas/AsyncJobResponse"}],"title":"Response Img Prompt V2 Generation Image Prompt Post"},"example":[{"base64":"...very long string...","seed":"1050625087","finish_reason":"SUCCESS"}]},"application/json async":{"example":{"job_id":1,"job_type":"Text to Image"}},"image/png":{"example":"PNG bytes, what did you expect?"}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/generation/query-job":{"get":{"summary":"Query Job","description":"Query async generation job","operationId":"query_job_v1_generation_query_job_get","parameters":[{"name":"job_id","in":"query","required":true,"schema":{"type":"string","title":"Job Id"}},{"name":"require_step_preivew","in":"query","required":false,"schema":{"type":"boolean","default":false,"title":"Require Step Preivew"}}],"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/AsyncJobResponse"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/generation/job-queue":{"get":{"summary":"Job Queue","description":"Query job queue info","operationId":"job_queue_v1_generation_job_queue_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/JobQueueInfo"}}}}}}},"/v1/generation/job-history":{"get":{"summary":"Get History","description":"Query historical job data","operationId":"get_history_v1_generation_job_history_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/JobHistoryResponse"}}}}}}},"/v1/generation/stop":{"post":{"summary":"Stop","description":"Job stoping","operationId":"stop_v1_generation_stop_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/StopResponse"}}}}}}},"/v1/tools/describe-image":{"post":{"summary":"Describe Image","operationId":"describe_image_v1_tools_describe_image_post","parameters":[{"name":"type","in":"query","required":false,"schema":{"allOf":[{"$ref":"#/components/schemas/DescribeImageType"}],"description":"Image type, 'Photo' or 'Anime'","default":"Photo","title":"Type"},"description":"Image type, 'Photo' or 'Anime'"}],"requestBody":{"required":true,"content":{"multipart/form-data":{"schema":{"$ref":"#/components/schemas/Body_describe_image_v1_tools_describe_image_post"}}}},"responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/DescribeImageResponse"}}}},"422":{"description":"Validation Error","content":{"application/json":{"schema":{"$ref":"#/components/schemas/HTTPValidationError"}}}}}}},"/v1/engines/all-models":{"get":{"summary":"All Models","description":"Get all filenames of base model and lora","operationId":"all_models_v1_engines_all_models_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/AllModelNamesResponse"}}}}}}},"/v1/engines/refresh-models":{"post":{"summary":"Refresh Models","description":"Refresh local files and get all filenames of base model and lora","operationId":"refresh_models_v1_engines_refresh_models_post","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"$ref":"#/components/schemas/AllModelNamesResponse"}}}}}}},"/v1/engines/styles":{"get":{"summary":"All Styles","description":"Get all legal Fooocus styles","operationId":"all_styles_v1_engines_styles_get","responses":{"200":{"description":"Successful Response","content":{"application/json":{"schema":{"items":{"type":"string"},"type":"array","title":"Response All Styles V1 Engines Styles Get"}}}}}}}},"components":{"schemas":{"AdvancedParams":{"properties":{"disable_preview":{"type":"boolean","title":"Disable Preview","description":"Disable preview during generation","default":false},"adm_scaler_positive":{"type":"number","maximum":3.0,"minimum":0.1,"title":"Adm Scaler Positive","description":"Positive ADM Guidance Scaler","default":1.5},"adm_scaler_negative":{"type":"number","maximum":3.0,"minimum":0.1,"title":"Adm Scaler Negative","description":"Negative ADM Guidance Scaler","default":0.8},"adm_scaler_end":{"type":"number","maximum":1.0,"minimum":0.0,"title":"Adm Scaler End","description":"ADM Guidance End At Step","default":0.3},"refiner_swap_method":{"type":"string","title":"Refiner Swap Method","description":"Refiner swap method","default":"joint"},"adaptive_cfg":{"type":"number","maximum":30.0,"minimum":1.0,"title":"Adaptive Cfg","description":"CFG Mimicking from TSNR","default":7.0},"sampler_name":{"type":"string","title":"Sampler Name","description":"Sampler","default":"dpmpp_2m_sde_gpu"},"scheduler_name":{"type":"string","title":"Scheduler Name","description":"Scheduler","default":"karras"},"overwrite_step":{"type":"integer","maximum":200.0,"minimum":-1.0,"title":"Overwrite Step","description":"Forced Overwrite of Sampling Step","default":-1},"overwrite_switch":{"type":"integer","maximum":200.0,"minimum":-1.0,"title":"Overwrite Switch","description":"Forced Overwrite of Refiner Switch Step","default":-1},"overwrite_width":{"type":"integer","maximum":2048.0,"minimum":-1.0,"title":"Overwrite Width","description":"Forced Overwrite of Generating Width","default":-1},"overwrite_height":{"type":"integer","maximum":2048.0,"minimum":-1.0,"title":"Overwrite Height","description":"Forced Overwrite of Generating Height","default":-1},"overwrite_vary_strength":{"type":"number","maximum":1.0,"minimum":-1.0,"title":"Overwrite Vary Strength","description":"Forced Overwrite of Denoising Strength of \"Vary\"","default":-1},"overwrite_upscale_strength":{"type":"number","maximum":1.0,"minimum":-1.0,"title":"Overwrite Upscale Strength","description":"Forced Overwrite of Denoising Strength of \"Upscale\"","default":-1},"mixing_image_prompt_and_vary_upscale":{"type":"boolean","title":"Mixing Image Prompt And Vary Upscale","description":"Mixing Image Prompt and Vary/Upscale","default":false},"mixing_image_prompt_and_inpaint":{"type":"boolean","title":"Mixing Image Prompt And Inpaint","description":"Mixing Image Prompt and Inpaint","default":false},"debugging_cn_preprocessor":{"type":"boolean","title":"Debugging Cn Preprocessor","description":"Debug Preprocessors","default":false},"skipping_cn_preprocessor":{"type":"boolean","title":"Skipping Cn Preprocessor","description":"Skip Preprocessors","default":false},"controlnet_softness":{"type":"number","maximum":1.0,"minimum":0.0,"title":"Controlnet Softness","description":"Softness of ControlNet","default":0.25},"canny_low_threshold":{"type":"integer","maximum":255.0,"minimum":1.0,"title":"Canny Low Threshold","description":"Canny Low Threshold","default":64},"canny_high_threshold":{"type":"integer","maximum":255.0,"minimum":1.0,"title":"Canny High Threshold","description":"Canny High Threshold","default":128},"freeu_enabled":{"type":"boolean","title":"Freeu Enabled","description":"FreeU enabled","default":false},"freeu_b1":{"type":"number","title":"Freeu B1","description":"FreeU B1","default":1.01},"freeu_b2":{"type":"number","title":"Freeu B2","description":"FreeU B2","default":1.02},"freeu_s1":{"type":"number","title":"Freeu S1","description":"FreeU B3","default":0.99},"freeu_s2":{"type":"number","title":"Freeu S2","description":"FreeU B4","default":0.95},"debugging_inpaint_preprocessor":{"type":"boolean","title":"Debugging Inpaint Preprocessor","description":"Debug Inpaint Preprocessing","default":false},"inpaint_disable_initial_latent":{"type":"boolean","title":"Inpaint Disable Initial Latent","description":"Disable initial latent in inpaint","default":false},"inpaint_engine":{"type":"string","title":"Inpaint Engine","description":"Inpaint Engine","default":"v1"},"inpaint_strength":{"type":"number","maximum":1.0,"minimum":0.0,"title":"Inpaint Strength","description":"Inpaint Denoising Strength","default":1.0},"inpaint_respective_field":{"type":"number","maximum":1.0,"minimum":0.0,"title":"Inpaint Respective Field","description":"Inpaint Respective Field","default":1.0},"invert_mask_checkbox":{"type":"boolean","title":"Invert Mask Checkbox","description":"Invert Mask","default":false},"inpaint_erode_or_dilate":{"type":"integer","maximum":64.0,"minimum":-64.0,"title":"Inpaint Erode Or Dilate","description":"Mask Erode or Dilate","default":0}},"type":"object","title":"AdvancedParams"},"AllModelNamesResponse":{"properties":{"model_filenames":{"items":{"type":"string"},"type":"array","title":"Model Filenames","description":"All available model filenames"},"lora_filenames":{"items":{"type":"string"},"type":"array","title":"Lora Filenames","description":"All available lora filenames"}},"type":"object","required":["model_filenames","lora_filenames"],"title":"AllModelNamesResponse"},"AsyncJobResponse":{"properties":{"job_id":{"type":"string","title":"Job Id","description":"Job ID"},"job_type":{"allOf":[{"$ref":"#/components/schemas/TaskType"}],"description":"Job type"},"job_stage":{"allOf":[{"$ref":"#/components/schemas/AsyncJobStage"}],"description":"Job running stage"},"job_progress":{"type":"integer","title":"Job Progress","description":"Job running progress, 100 is for finished."},"job_status":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Job Status","description":"Job running status in 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This allows for asynchronous notification of task status.","default":""},"input_image":{"type":"string","title":"Input Image","description":"Init image for inpaint or outpaint as base64"},"input_mask":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Input Mask","description":"Inpaint or outpaint mask as base64","default":""},"inpaint_additional_prompt":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Inpaint Additional Prompt","description":"Describe what you want to inpaint","default":""},"outpaint_selections":{"items":{"$ref":"#/components/schemas/OutpaintExpansion"},"type":"array","title":"Outpaint Selections","default":[]},"outpaint_distance_left":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Left","description":"Set outpaint left distance","default":-1},"outpaint_distance_right":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Right","description":"Set outpaint right distance","default":-1},"outpaint_distance_top":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Top","description":"Set outpaint top distance","default":-1},"outpaint_distance_bottom":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Bottom","description":"Set outpaint bottom distance","default":-1},"image_prompts":{"items":{"anyOf":[{"$ref":"#/components/schemas/ImagePromptJson"},{"$ref":"#/components/schemas/ImagePrompt"}]},"type":"array","title":"Image Prompts","default":[]}},"type":"object","required":["input_image"],"title":"ImgInpaintOrOutpaintRequestJson"},"ImgPromptRequestJson":{"properties":{"prompt":{"type":"string","title":"Prompt","default":""},"negative_prompt":{"type":"string","title":"Negative Prompt","default":""},"style_selections":{"items":{"type":"string"},"type":"array","title":"Style Selections","default":["Fooocus V2","Fooocus Enhance","Fooocus Sharp"]},"performance_selection":{"allOf":[{"$ref":"#/components/schemas/PerfomanceSelection"}],"default":"Speed"},"aspect_ratios_selection":{"type":"string","title":"Aspect Ratios Selection","default":"1152*896"},"image_number":{"type":"integer","maximum":32.0,"minimum":1.0,"title":"Image Number","description":"Image number","default":1},"image_seed":{"type":"integer","title":"Image Seed","description":"Seed to generate image, -1 for random","default":-1},"sharpness":{"type":"number","maximum":30.0,"minimum":0.0,"title":"Sharpness","default":2.0},"guidance_scale":{"type":"number","maximum":30.0,"minimum":1.0,"title":"Guidance Scale","default":4.0},"base_model_name":{"type":"string","title":"Base Model Name","default":"juggernautXL_version6Rundiffusion.safetensors"},"refiner_model_name":{"type":"string","title":"Refiner Model Name","default":"None"},"refiner_switch":{"type":"number","maximum":1.0,"minimum":0.1,"title":"Refiner Switch","description":"Refiner Switch At","default":0.5},"loras":{"items":{"$ref":"#/components/schemas/Lora"},"type":"array","title":"Loras","default":[{"model_name":"sd_xl_offset_example-lora_1.0.safetensors","weight":0.1}]},"advanced_params":{"anyOf":[{"$ref":"#/components/schemas/AdvancedParams"},{"type":"null"}],"default":{"adaptive_cfg":7.0,"adm_scaler_end":0.3,"adm_scaler_negative":0.8,"adm_scaler_positive":1.5,"canny_high_threshold":128,"canny_low_threshold":64,"controlnet_softness":0.25,"debugging_cn_preprocessor":false,"debugging_inpaint_preprocessor":false,"disable_preview":false,"freeu_b1":1.01,"freeu_b2":1.02,"freeu_enabled":false,"freeu_s1":0.99,"freeu_s2":0.95,"inpaint_disable_initial_latent":false,"inpaint_engine":"v1","inpaint_erode_or_dilate":0,"inpaint_respective_field":1.0,"inpaint_strength":1.0,"invert_mask_checkbox":false,"mixing_image_prompt_and_inpaint":false,"mixing_image_prompt_and_vary_upscale":false,"overwrite_height":-1,"overwrite_step":-1,"overwrite_switch":-1,"overwrite_upscale_strength":-1.0,"overwrite_vary_strength":-1.0,"overwrite_width":-1,"refiner_swap_method":"joint","sampler_name":"dpmpp_2m_sde_gpu","scheduler_name":"karras","skipping_cn_preprocessor":false}},"require_base64":{"type":"boolean","title":"Require Base64","description":"Return base64 data of generated image","default":false},"async_process":{"type":"boolean","title":"Async Process","description":"Set to true will run async and return job info for retrieve generataion result later","default":false},"webhook_url":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Webhook Url","description":"Optional URL for a webhook callback. If provided, the system will send a POST request to this URL upon task completion or failure. This allows for asynchronous notification of task status.","default":""},"input_image":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Input Image","description":"Init image for inpaint or outpaint as base64"},"input_mask":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Input Mask","description":"Inpaint or outpaint mask as base64","default":""},"inpaint_additional_prompt":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Inpaint Additional Prompt","description":"Describe what you want to inpaint","default":""},"outpaint_selections":{"items":{"$ref":"#/components/schemas/OutpaintExpansion"},"type":"array","title":"Outpaint Selections","default":[]},"outpaint_distance_left":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Left","description":"Set outpaint left distance","default":-1},"outpaint_distance_right":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Right","description":"Set outpaint right distance","default":-1},"outpaint_distance_top":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Top","description":"Set outpaint top distance","default":-1},"outpaint_distance_bottom":{"anyOf":[{"type":"integer"},{"type":"null"}],"title":"Outpaint Distance Bottom","description":"Set outpaint bottom distance","default":-1},"image_prompts":{"items":{"anyOf":[{"$ref":"#/components/schemas/ImagePromptJson"},{"$ref":"#/components/schemas/ImagePrompt"}]},"type":"array","title":"Image Prompts"}},"type":"object","required":["image_prompts"],"title":"ImgPromptRequestJson"},"ImgUpscaleOrVaryRequestJson":{"properties":{"prompt":{"type":"string","title":"Prompt","default":""},"negative_prompt":{"type":"string","title":"Negative Prompt","default":""},"style_selections":{"items":{"type":"string"},"type":"array","title":"Style Selections","default":["Fooocus V2","Fooocus Enhance","Fooocus Sharp"]},"performance_selection":{"allOf":[{"$ref":"#/components/schemas/PerfomanceSelection"}],"default":"Speed"},"aspect_ratios_selection":{"type":"string","title":"Aspect Ratios Selection","default":"1152*896"},"image_number":{"type":"integer","maximum":32.0,"minimum":1.0,"title":"Image Number","description":"Image number","default":1},"image_seed":{"type":"integer","title":"Image Seed","description":"Seed to generate image, -1 for random","default":-1},"sharpness":{"type":"number","maximum":30.0,"minimum":0.0,"title":"Sharpness","default":2.0},"guidance_scale":{"type":"number","maximum":30.0,"minimum":1.0,"title":"Guidance Scale","default":4.0},"base_model_name":{"type":"string","title":"Base Model Name","default":"juggernautXL_version6Rundiffusion.safetensors"},"refiner_model_name":{"type":"string","title":"Refiner Model Name","default":"None"},"refiner_switch":{"type":"number","maximum":1.0,"minimum":0.1,"title":"Refiner Switch","description":"Refiner Switch At","default":0.5},"loras":{"items":{"$ref":"#/components/schemas/Lora"},"type":"array","title":"Loras","default":[{"model_name":"sd_xl_offset_example-lora_1.0.safetensors","weight":0.1}]},"advanced_params":{"anyOf":[{"$ref":"#/components/schemas/AdvancedParams"},{"type":"null"}],"default":{"adaptive_cfg":7.0,"adm_scaler_end":0.3,"adm_scaler_negative":0.8,"adm_scaler_positive":1.5,"canny_high_threshold":128,"canny_low_threshold":64,"controlnet_softness":0.25,"debugging_cn_preprocessor":false,"debugging_inpaint_preprocessor":false,"disable_preview":false,"freeu_b1":1.01,"freeu_b2":1.02,"freeu_enabled":false,"freeu_s1":0.99,"freeu_s2":0.95,"inpaint_disable_initial_latent":false,"inpaint_engine":"v1","inpaint_erode_or_dilate":0,"inpaint_respective_field":1.0,"inpaint_strength":1.0,"invert_mask_checkbox":false,"mixing_image_prompt_and_inpaint":false,"mixing_image_prompt_and_vary_upscale":false,"overwrite_height":-1,"overwrite_step":-1,"overwrite_switch":-1,"overwrite_upscale_strength":-1.0,"overwrite_vary_strength":-1.0,"overwrite_width":-1,"refiner_swap_method":"joint","sampler_name":"dpmpp_2m_sde_gpu","scheduler_name":"karras","skipping_cn_preprocessor":false}},"require_base64":{"type":"boolean","title":"Require Base64","description":"Return base64 data of generated image","default":false},"async_process":{"type":"boolean","title":"Async Process","description":"Set to true will run async and return job info for retrieve generataion result later","default":false},"webhook_url":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Webhook Url","description":"Optional URL for a webhook callback. If provided, the system will send a POST request to this URL upon task completion or failure. This allows for asynchronous notification of task status.","default":""},"uov_method":{"allOf":[{"$ref":"#/components/schemas/UpscaleOrVaryMethod"}],"default":"Upscale (2x)"},"upscale_value":{"anyOf":[{"type":"number","maximum":5.0,"minimum":1.0},{"type":"null"}],"title":"Upscale Value","description":"Upscale custom value, 1.0 for default value","default":1.0},"input_image":{"type":"string","title":"Input Image","description":"Init image for upsacale or outpaint as base64"},"image_prompts":{"items":{"anyOf":[{"$ref":"#/components/schemas/ImagePromptJson"},{"$ref":"#/components/schemas/ImagePrompt"}]},"type":"array","title":"Image Prompts","default":[]}},"type":"object","required":["input_image"],"title":"ImgUpscaleOrVaryRequestJson"},"JobHistoryInfo":{"properties":{"job_id":{"type":"string","title":"Job Id"},"is_finished":{"type":"boolean","title":"Is Finished","default":false}},"type":"object","required":["job_id"],"title":"JobHistoryInfo"},"JobHistoryResponse":{"properties":{"queue":{"items":{"$ref":"#/components/schemas/JobHistoryInfo"},"type":"array","title":"Queue","default":[]},"history":{"items":{"$ref":"#/components/schemas/JobHistoryInfo"},"type":"array","title":"History","default":[]}},"type":"object","title":"JobHistoryResponse"},"JobQueueInfo":{"properties":{"running_size":{"type":"integer","title":"Running Size","description":"The current running and waiting job count"},"finished_size":{"type":"integer","title":"Finished Size","description":"Finished job cound (after auto clean)"},"last_job_id":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Last Job Id","description":"Last submit generation job id"}},"type":"object","required":["running_size","finished_size","last_job_id"],"title":"JobQueueInfo"},"Lora":{"properties":{"model_name":{"type":"string","title":"Model Name"},"weight":{"type":"number","maximum":2.0,"minimum":-2.0,"title":"Weight","default":0.5}},"type":"object","required":["model_name"],"title":"Lora"},"OutpaintExpansion":{"type":"string","enum":["Left","Right","Top","Bottom"],"title":"OutpaintExpansion"},"PerfomanceSelection":{"type":"string","enum":["Speed","Quality","Extreme Speed"],"title":"PerfomanceSelection"},"StopResponse":{"properties":{"msg":{"type":"string","title":"Msg"}},"type":"object","required":["msg"],"title":"StopResponse"},"TaskType":{"type":"string","enum":["Text to Image","Image Upscale or Variation","Image Inpaint or Outpaint","Image Prompt","Not Found"],"title":"TaskType"},"Text2ImgRequest":{"properties":{"prompt":{"type":"string","title":"Prompt","default":""},"negative_prompt":{"type":"string","title":"Negative Prompt","default":""},"style_selections":{"items":{"type":"string"},"type":"array","title":"Style Selections","default":["Fooocus V2","Fooocus Enhance","Fooocus Sharp"]},"performance_selection":{"allOf":[{"$ref":"#/components/schemas/PerfomanceSelection"}],"default":"Speed"},"aspect_ratios_selection":{"type":"string","title":"Aspect Ratios Selection","default":"1152*896"},"image_number":{"type":"integer","maximum":32.0,"minimum":1.0,"title":"Image Number","description":"Image number","default":1},"image_seed":{"type":"integer","title":"Image Seed","description":"Seed to generate image, -1 for random","default":-1},"sharpness":{"type":"number","maximum":30.0,"minimum":0.0,"title":"Sharpness","default":2.0},"guidance_scale":{"type":"number","maximum":30.0,"minimum":1.0,"title":"Guidance Scale","default":4.0},"base_model_name":{"type":"string","title":"Base Model Name","default":"juggernautXL_version6Rundiffusion.safetensors"},"refiner_model_name":{"type":"string","title":"Refiner Model Name","default":"None"},"refiner_switch":{"type":"number","maximum":1.0,"minimum":0.1,"title":"Refiner Switch","description":"Refiner Switch At","default":0.5},"loras":{"items":{"$ref":"#/components/schemas/Lora"},"type":"array","title":"Loras","default":[{"model_name":"sd_xl_offset_example-lora_1.0.safetensors","weight":0.1}]},"advanced_params":{"anyOf":[{"$ref":"#/components/schemas/AdvancedParams"},{"type":"null"}],"default":{"adaptive_cfg":7.0,"adm_scaler_end":0.3,"adm_scaler_negative":0.8,"adm_scaler_positive":1.5,"canny_high_threshold":128,"canny_low_threshold":64,"controlnet_softness":0.25,"debugging_cn_preprocessor":false,"debugging_inpaint_preprocessor":false,"disable_preview":false,"freeu_b1":1.01,"freeu_b2":1.02,"freeu_enabled":false,"freeu_s1":0.99,"freeu_s2":0.95,"inpaint_disable_initial_latent":false,"inpaint_engine":"v1","inpaint_erode_or_dilate":0,"inpaint_respective_field":1.0,"inpaint_strength":1.0,"invert_mask_checkbox":false,"mixing_image_prompt_and_inpaint":false,"mixing_image_prompt_and_vary_upscale":false,"overwrite_height":-1,"overwrite_step":-1,"overwrite_switch":-1,"overwrite_upscale_strength":-1.0,"overwrite_vary_strength":-1.0,"overwrite_width":-1,"refiner_swap_method":"joint","sampler_name":"dpmpp_2m_sde_gpu","scheduler_name":"karras","skipping_cn_preprocessor":false}},"require_base64":{"type":"boolean","title":"Require Base64","description":"Return base64 data of generated image","default":false},"async_process":{"type":"boolean","title":"Async Process","description":"Set to true will run async and return job info for retrieve generataion result later","default":false},"webhook_url":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Webhook Url","description":"Optional URL for a webhook callback. If provided, the system will send a POST request to this URL upon task completion or failure. This allows for asynchronous notification of task status.","default":""}},"type":"object","title":"Text2ImgRequest"},"Text2ImgRequestWithPrompt":{"properties":{"prompt":{"type":"string","title":"Prompt","default":""},"negative_prompt":{"type":"string","title":"Negative Prompt","default":""},"style_selections":{"items":{"type":"string"},"type":"array","title":"Style Selections","default":["Fooocus V2","Fooocus Enhance","Fooocus Sharp"]},"performance_selection":{"allOf":[{"$ref":"#/components/schemas/PerfomanceSelection"}],"default":"Speed"},"aspect_ratios_selection":{"type":"string","title":"Aspect Ratios Selection","default":"1152*896"},"image_number":{"type":"integer","maximum":32.0,"minimum":1.0,"title":"Image Number","description":"Image number","default":1},"image_seed":{"type":"integer","title":"Image Seed","description":"Seed to generate image, -1 for random","default":-1},"sharpness":{"type":"number","maximum":30.0,"minimum":0.0,"title":"Sharpness","default":2.0},"guidance_scale":{"type":"number","maximum":30.0,"minimum":1.0,"title":"Guidance Scale","default":4.0},"base_model_name":{"type":"string","title":"Base Model Name","default":"juggernautXL_version6Rundiffusion.safetensors"},"refiner_model_name":{"type":"string","title":"Refiner Model Name","default":"None"},"refiner_switch":{"type":"number","maximum":1.0,"minimum":0.1,"title":"Refiner Switch","description":"Refiner Switch At","default":0.5},"loras":{"items":{"$ref":"#/components/schemas/Lora"},"type":"array","title":"Loras","default":[{"model_name":"sd_xl_offset_example-lora_1.0.safetensors","weight":0.1}]},"advanced_params":{"anyOf":[{"$ref":"#/components/schemas/AdvancedParams"},{"type":"null"}],"default":{"adaptive_cfg":7.0,"adm_scaler_end":0.3,"adm_scaler_negative":0.8,"adm_scaler_positive":1.5,"canny_high_threshold":128,"canny_low_threshold":64,"controlnet_softness":0.25,"debugging_cn_preprocessor":false,"debugging_inpaint_preprocessor":false,"disable_preview":false,"freeu_b1":1.01,"freeu_b2":1.02,"freeu_enabled":false,"freeu_s1":0.99,"freeu_s2":0.95,"inpaint_disable_initial_latent":false,"inpaint_engine":"v1","inpaint_erode_or_dilate":0,"inpaint_respective_field":1.0,"inpaint_strength":1.0,"invert_mask_checkbox":false,"mixing_image_prompt_and_inpaint":false,"mixing_image_prompt_and_vary_upscale":false,"overwrite_height":-1,"overwrite_step":-1,"overwrite_switch":-1,"overwrite_upscale_strength":-1.0,"overwrite_vary_strength":-1.0,"overwrite_width":-1,"refiner_swap_method":"joint","sampler_name":"dpmpp_2m_sde_gpu","scheduler_name":"karras","skipping_cn_preprocessor":false}},"require_base64":{"type":"boolean","title":"Require Base64","description":"Return base64 data of generated image","default":false},"async_process":{"type":"boolean","title":"Async Process","description":"Set to true will run async and return job info for retrieve generataion result later","default":false},"webhook_url":{"anyOf":[{"type":"string"},{"type":"null"}],"title":"Webhook Url","description":"Optional URL for a webhook callback. If provided, the system will send a POST request to this URL upon task completion or failure. This allows for asynchronous notification of task status.","default":""},"image_prompts":{"items":{"$ref":"#/components/schemas/ImagePromptJson"},"type":"array","title":"Image Prompts","default":[]}},"type":"object","title":"Text2ImgRequestWithPrompt"},"UpscaleOrVaryMethod":{"type":"string","enum":["Vary (Subtle)","Vary (Strong)","Upscale (1.5x)","Upscale (2x)","Upscale (Fast 2x)","Upscale (Custom)"],"title":"UpscaleOrVaryMethod"},"ValidationError":{"properties":{"loc":{"items":{"anyOf":[{"type":"string"},{"type":"integer"}]},"type":"array","title":"Location"},"msg":{"type":"string","title":"Message"},"type":{"type":"string","title":"Error Type"}},"type":"object","required":["loc","msg","type"],"title":"ValidationError"}}}}
\ No newline at end of file
diff --git a/examples/examples.ipynb b/examples/examples.ipynb
index ba4eb29..b1fc7ff 100644
--- a/examples/examples.ipynb
+++ b/examples/examples.ipynb
@@ -130,7 +130,7 @@
     "    \"\"\"\n",
     "    Partial redraw v1 interface example\n",
     "    \"\"\"\n",
-    "    response = requests.post(url=f\"{host}/v1/generation/image-inpait-outpaint\",\n",
+    "    response = requests.post(url=f\"{host}/v1/generation/image-inpaint-outpaint\",\n",
     "                        data=params,\n",
     "                        files={\"input_image\": input_image,\n",
     "                               \"input_mask\": input_mask})\n",
@@ -182,7 +182,7 @@
     "    \"\"\"\n",
     "    Partial redraw v2 interface example\n",
     "    \"\"\"\n",
-    "    response = requests.post(url=f\"{host}/v2/generation/image-inpait-outpaint\",\n",
+    "    response = requests.post(url=f\"{host}/v2/generation/image-inpaint-outpaint\",\n",
     "                        data=json.dumps(params),\n",
     "                        headers={\"Content-Type\": \"application/json\"})\n",
     "    return response.json()\n",
diff --git a/examples/examples.py b/examples/examples.py
index 5e4e26b..46e36cd 100644
--- a/examples/examples.py
+++ b/examples/examples.py
@@ -12,8 +12,8 @@ class Config():
     text2img = '/v1/generation/text-to-image'
     img_upscale = '/v2/generation/image-upscale-vary'
     img_upscale1 = '/v1/generation/image-upscale-vary'
-    inpaint_outpaint = '/v2/generation/image-inpait-outpaint'
-    inpaint_outpaint1 = '/v1/generation/image-inpait-outpaint'
+    inpaint_outpaint = '/v2/generation/image-inpaint-outpaint'
+    inpaint_outpaint1 = '/v1/generation/image-inpaint-outpaint'
     img_prompt = '/v2/generation/image-prompt'
     img_prompt1 = '/v1/generation/image-prompt'
 
@@ -131,5 +131,5 @@ def image_prompt_with_inpaint(img_prompt: list, input_image: str, input_mask: st
 ]
 # 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(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))
diff --git a/fooocus_api_version.py b/fooocus_api_version.py
index 289b636..624fc9c 100644
--- a/fooocus_api_version.py
+++ b/fooocus_api_version.py
@@ -1 +1 @@
-version = '0.3.29'
+version = '0.3.30'
diff --git a/fooocusapi/api.py b/fooocusapi/api.py
index 88dc47a..0bc4d34 100644
--- a/fooocusapi/api.py
+++ b/fooocusapi/api.py
@@ -1,7 +1,6 @@
 import uvicorn
 
 from typing import List, Optional
-from fastapi.responses import JSONResponse
 from fastapi import Depends, FastAPI, Header, Query, Response, UploadFile
 from fastapi.params import File
 from fastapi.staticfiles import StaticFiles
@@ -12,12 +11,11 @@
 from fooocusapi.api_utils import req_to_params, generate_async_output, generate_streaming_output, generate_image_result_output
 import fooocusapi.file_utils as file_utils
 from fooocusapi.parameters import GenerationFinishReason, ImageGenerationResult
-from fooocusapi.task_queue import QueueTask, TaskType
-from fooocusapi.worker import process_generate, task_queue, process_top
+from fooocusapi.task_queue import TaskType
+from fooocusapi.worker import worker_queue, process_top, blocking_get_task_result
 from fooocusapi.models_v2 import *
 from fooocusapi.img_utils import base64_to_stream, read_input_image
 
-from concurrent.futures import ThreadPoolExecutor
 from modules.util import HWC3
 
 app = FastAPI()
@@ -30,9 +28,6 @@
     allow_headers=["*"],  # Allow all request headers
 )
 
-work_executor = ThreadPoolExecutor(
-    max_workers=task_queue.queue_size * 2, thread_name_prefix="worker_")
-
 img_generate_responses = {
     "200": {
         "description": "PNG bytes if request's 'Accept' header is 'image/png', otherwise JSON",
@@ -64,43 +59,29 @@ def get_task_type(req: Text2ImgRequest) -> TaskType:
     elif isinstance(req, ImgPromptRequest) or isinstance(req, ImgPromptRequestJson):
         return TaskType.img_prompt
     elif isinstance(req, ImgInpaintOrOutpaintRequest) or isinstance(req, ImgInpaintOrOutpaintRequestJson):
-        return TaskType.img_inpaint_outpaint
+        return TaskType.img_inpaint_outpaiFnt
     else:
         return TaskType.text_2_img
 
 
-def call_worker(req: Text2ImgRequest, accept: str) -> Tuple[QueueTask | None, List[ImageGenerationResult] | None]:
-    task_type = get_task_type(req)
-    params = req_to_params(req)
-    queue_task = task_queue.add_task(
-        task_type, {'params': params.__dict__, 'accept': accept, 'require_base64': req.require_base64},
-        webhook_url=req.webhook_url)
-
-    if queue_task is None:
-        print("[Task Queue] The task queue has reached limit")
-        return None, [ImageGenerationResult(im=None, seed='',
-                                         finish_reason=GenerationFinishReason.queue_is_full)]
-    elif req.async_process:
-        work_executor.submit(process_generate, queue_task, params)
-        return queue_task, None
+def call_worker(req: Text2ImgRequest, accept: str) -> Response | AsyncJobResponse | List[GeneratedImageResult]:
+    if accept == 'image/png':
+        streaming_output = True
+        # image_number auto set to 1 in streaming mode
+        req.image_number = 1
     else:
-        results = process_generate(queue_task, params)
-        return queue_task, results
-
-
-def build_generation_response(req: Text2ImgRequest,
-                 streaming_output: bool,
-                 task: QueueTask | None,
-                 results: List[ImageGenerationResult] | None) -> Response | AsyncJobResponse | List[GeneratedImageResult]:
-    if streaming_output:
-        return generate_streaming_output([] if results is None else results)
+        streaming_output = False
 
-    job_result: List[GeneratedImageResult] = []
-    if results is not None:
-        job_result = generate_image_result_output(results, req.require_base64)
+    task_type = get_task_type(req)
+    params = req_to_params(req)
+    async_task = worker_queue.add_task(task_type, params, req.webhook_url)
 
-    if task is None:
+    if async_task is None:
         # add to worker queue failed
+        failure_results = [ImageGenerationResult(im=None, seed='', finish_reason=GenerationFinishReason.queue_is_full)]
+
+        if streaming_output:
+            return generate_streaming_output(failure_results)
         if req.async_process:
             return AsyncJobResponse(job_id='',
                                     job_type=get_task_type(req),
@@ -108,13 +89,21 @@ def build_generation_response(req: Text2ImgRequest,
                                     job_progress=0,
                                     job_status=None,
                                     job_step_preview=None,
-                                    job_result=job_result)
-        return job_result
+                                    job_result=failure_results)
+        else:
+            return generate_image_result_output(failure_results, False)
 
     if req.async_process:
-        return generate_async_output(task)
+        # return async response directly
+        return generate_async_output(async_task)
+    
+    # blocking get generation result
+    results = blocking_get_task_result(async_task.job_id)
+
+    if streaming_output:
+        return generate_streaming_output(results)
     else:
-        return job_result
+        return generate_image_result_output(results, req.require_base64)
 
 
 def stop_worker():
@@ -137,15 +126,7 @@ def text2img_generation(req: Text2ImgRequest, accept: str = Header(None),
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.post("/v2/generation/text-to-image-with-ip", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
@@ -155,13 +136,6 @@ def text_to_img_with_ip(req: Text2ImgRequestWithPrompt,
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
     default_image_promt = ImagePrompt(cn_img=None)
     image_prompts_files: List[ImagePrompt] = []
     for img_prompt in req.image_prompts:
@@ -177,8 +151,7 @@ def text_to_img_with_ip(req: Text2ImgRequestWithPrompt,
 
     req.image_prompts = image_prompts_files
 
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.post("/v1/generation/image-upscale-vary", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
@@ -188,15 +161,7 @@ def img_upscale_or_vary(input_image: UploadFile, req: ImgUpscaleOrVaryRequest =
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.post("/v2/generation/image-upscale-vary", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
@@ -206,12 +171,6 @@ def img_upscale_or_vary_v2(req: ImgUpscaleOrVaryRequestJson,
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
     req.input_image = base64_to_stream(req.input_image)
 
     default_image_promt = ImagePrompt(cn_img=None)
@@ -227,42 +186,26 @@ def img_upscale_or_vary_v2(req: ImgUpscaleOrVaryRequestJson,
         image_prompts_files.append(default_image_promt)
     req.image_prompts = image_prompts_files
 
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
-@app.post("/v1/generation/image-inpait-outpaint", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
+@app.post("/v1/generation/image-inpaint-outpaint", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
 def img_inpaint_or_outpaint(input_image: UploadFile, req: ImgInpaintOrOutpaintRequest = Depends(ImgInpaintOrOutpaintRequest.as_form),
                             accept: str = Header(None),
                             accept_query: str | None = Query(None, alias='accept', description="Parameter to overvide 'Accept' header, 'image/png' for output bytes")):
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
-@app.post("/v2/generation/image-inpait-outpaint", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
+@app.post("/v2/generation/image-inpaint-outpaint", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
 def img_inpaint_or_outpaint_v2(req: ImgInpaintOrOutpaintRequestJson,
                                accept: str = Header(None),
                                accept_query: str | None = Query(None, alias='accept', description="Parameter to overvide 'Accept' header, 'image/png' for output bytes")):
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
     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)
@@ -279,8 +222,7 @@ def img_inpaint_or_outpaint_v2(req: ImgInpaintOrOutpaintRequestJson,
         image_prompts_files.append(default_image_promt)
     req.image_prompts = image_prompts_files
 
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.post("/v1/generation/image-prompt", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
@@ -291,15 +233,7 @@ def img_prompt(cn_img1: Optional[UploadFile] = File(None),
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    else:
-        streaming_output = False
-
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.post("/v2/generation/image-prompt", response_model=List[GeneratedImageResult] | AsyncJobResponse, responses=img_generate_responses)
@@ -309,13 +243,6 @@ def img_prompt(req: ImgPromptRequestJson,
     if accept_query is not None and len(accept_query) > 0:
         accept = accept_query
 
-    if accept == 'image/png':
-        streaming_output = True
-        # image_number auto set to 1 in streaming mode
-        req.image_number = 1
-    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:
@@ -336,13 +263,12 @@ def img_prompt(req: ImgPromptRequestJson,
 
     req.image_prompts = image_prompts_files
 
-    task, results = call_worker(req, accept)
-    return build_generation_response(req, streaming_output, task, results)
+    return call_worker(req, accept)
 
 
 @app.get("/v1/generation/query-job", response_model=AsyncJobResponse, description="Query async generation job")
 def query_job(req: QueryJobRequest = Depends()):
-    queue_task = task_queue.get_task(req.job_id, True)
+    queue_task = worker_queue.get_task(req.job_id, True)
     if queue_task is None:
         result = AsyncJobResponse(job_id="",
                                  job_type=TaskType.not_found,
@@ -351,20 +277,20 @@ def query_job(req: QueryJobRequest = Depends()):
                                  job_status="Job not found")
         content = result.model_dump_json()
         return Response(content=content, media_type='application/json', status_code=404)
-    return generate_async_output(queue_task)
+    return generate_async_output(queue_task, req.require_step_preview)
 
 
 @app.get("/v1/generation/job-queue", response_model=JobQueueInfo, description="Query job queue info")
 def job_queue():
-    return JobQueueInfo(running_size=len(task_queue.queue), finished_size=len(task_queue.history), last_job_id=task_queue.last_job_id)
+    return JobQueueInfo(running_size=len(worker_queue.queue), finished_size=len(worker_queue.history), last_job_id=worker_queue.last_job_id)
 
 
 @app.get("/v1/generation/job-history", response_model=JobHistoryResponse | dict, description="Query historical job data")
 def get_history(job_id: str = None, page: int = 0, page_size: int = 20):
     # Fetch and return the historical tasks
-    queue = [JobHistoryInfo(job_id=item.job_id, is_finished=item.is_finished) for item in task_queue.queue]
+    queue = [JobHistoryInfo(job_id=item.job_id, is_finished=item.is_finished) for item in worker_queue.queue]
     if not args.persistent:
-        history = [JobHistoryInfo(job_id=item.job_id, is_finished=item.is_finished) for item in task_queue.history]
+        history = [JobHistoryInfo(job_id=item.job_id, is_finished=item.is_finished) for item in worker_queue.history]
         return JobHistoryResponse(history=history, queue=queue)
     else:
         from fooocusapi.sql_client import query_history
diff --git a/fooocusapi/api_utils.py b/fooocusapi/api_utils.py
index 1ae6888..d53c5c3 100644
--- a/fooocusapi/api_utils.py
+++ b/fooocusapi/api_utils.py
@@ -156,10 +156,11 @@ def req_to_params(req: Text2ImgRequest) -> ImageGenerationParams:
                                  inpaint_additional_prompt=inpaint_additional_prompt,
                                  image_prompts=image_prompts,
                                  advanced_params=advanced_params,
+                                 require_base64=req.require_base64,
                                  )
 
 
-def generate_async_output(task: QueueTask) -> AsyncJobResponse:
+def generate_async_output(task: QueueTask, require_step_preview: bool = False) -> AsyncJobResponse:
     job_stage = AsyncJobStage.running
     job_result = None
 
@@ -171,17 +172,13 @@ def generate_async_output(task: QueueTask) -> AsyncJobResponse:
             job_stage = AsyncJobStage.error
         elif task.task_result != None:
             job_stage = AsyncJobStage.success
-            task_result_require_base64 = False
-            if 'require_base64' in task.req_param and task.req_param['require_base64']:
-                task_result_require_base64 = True
-
-            job_result = generate_image_result_output(task.task_result, task_result_require_base64)
+            job_result = generate_image_result_output(task.task_result, task.req_param.require_base64)
     return AsyncJobResponse(job_id=task.job_id,
                             job_type=task.type,
                             job_stage=job_stage,
                             job_progress=task.finish_progress,
                             job_status=task.task_status,
-                            job_step_preview=task.task_step_preview,
+                            job_step_preview= task.task_step_preview if require_step_preview else None,
                             job_result=job_result)
 
 
diff --git a/fooocusapi/base_args.py b/fooocusapi/base_args.py
index 0a16a64..0c6e104 100644
--- a/fooocusapi/base_args.py
+++ b/fooocusapi/base_args.py
@@ -11,7 +11,7 @@ def add_base_args(parser: ArgumentParser, before_prepared: bool):
     parser.add_argument("--sync-repo", default=None, help="Sync dependent git repositories to local, 'skip' for skip sync action, 'only' for only do the sync action and not launch app")
     parser.add_argument("--skip-pip", default=False, action="store_true", help="Skip automatic pip install when setup")
     parser.add_argument("--preload-pipeline", default=False, action="store_true", help="Preload pipeline before start http server")
-    parser.add_argument("--queue-size", type=int, default=3, help="Working queue size, default: 3, generation requests exceeding working queue size will return failure")
+    parser.add_argument("--queue-size", type=int, default=100, help="Working queue size, default: 3, generation requests exceeding working queue size will return failure")
     parser.add_argument("--queue-history", type=int, default=0, help="Finished jobs reserve size, tasks exceeding the limit will be deleted, including output image files, default: 0, means no limit")
     parser.add_argument('--webhook-url', type=str, default=None, help='The URL to send a POST request when a job is finished')
     parser.add_argument('--persistent', default=False, action="store_true", help="Store history to db")
\ No newline at end of file
diff --git a/fooocusapi/models.py b/fooocusapi/models.py
index b88578d..d4af980 100644
--- a/fooocusapi/models.py
+++ b/fooocusapi/models.py
@@ -405,7 +405,7 @@ class AsyncJobStage(str, Enum):
 
 class QueryJobRequest(BaseModel):
     job_id: str = Field(description="Job ID to query")
-    require_step_preivew: bool = Field(False, description="Set to true will return preview image of generation steps at current time")
+    require_step_preview: bool = Field(False, description="Set to true will return preview image of generation steps at current time")
 
 
 class AsyncJobResponse(BaseModel):
diff --git a/fooocusapi/parameters.py b/fooocusapi/parameters.py
index 9c735fe..1c456e5 100644
--- a/fooocusapi/parameters.py
+++ b/fooocusapi/parameters.py
@@ -100,7 +100,8 @@ def __init__(self, prompt: str,
                  inpaint_input_image: Dict[str, np.ndarray] | None,
                  inpaint_additional_prompt: str | None,
                  image_prompts: List[Tuple[np.ndarray, float, float, str]],
-                 advanced_params: List[any] | None):
+                 advanced_params: List[any] | None,
+                 require_base64: bool):
         self.prompt = prompt
         self.negative_prompt = negative_prompt
         self.style_selections = style_selections
@@ -125,6 +126,7 @@ def __init__(self, prompt: str,
         self.inpaint_input_image = inpaint_input_image
         self.inpaint_additional_prompt = inpaint_additional_prompt
         self.image_prompts = image_prompts
+        self.require_base64 = require_base64
         
         if advanced_params is None:
             disable_preview = False
diff --git a/fooocusapi/task_queue.py b/fooocusapi/task_queue.py
index 764a94c..88d42a5 100644
--- a/fooocusapi/task_queue.py
+++ b/fooocusapi/task_queue.py
@@ -8,7 +8,7 @@
 
 from fooocusapi.file_utils import delete_output_file, get_file_serve_url
 from fooocusapi.img_utils import narray_to_base64img
-from fooocusapi.parameters import ImageGenerationResult, GenerationFinishReason
+from fooocusapi.parameters import ImageGenerationParams, ImageGenerationResult, GenerationFinishReason
 
 class TaskType(str, Enum):
     text_2_img = 'Text to Image'
@@ -20,8 +20,11 @@ class TaskType(str, Enum):
 
 class QueueTask(object):
     job_id: str
+    type: TaskType
+    req_param: ImageGenerationParams
     is_finished: bool = False
     finish_progress: int = 0
+    in_queue_millis: int
     start_millis: int = 0
     finish_millis: int = 0
     finish_with_error: bool = False
@@ -31,7 +34,7 @@ class QueueTask(object):
     error_message: str | None = None
     webhook_url: str | None = None  # attribute for individual webhook_url
 
-    def __init__(self, job_id: str, type: TaskType, req_param: dict, in_queue_millis: int,
+    def __init__(self, job_id: str, type: TaskType, req_param: ImageGenerationParams, in_queue_millis: int,
                  webhook_url: str | None = None):
         self.job_id = job_id
         self.type = type
@@ -70,7 +73,7 @@ def __init__(self, queue_size: int, hisotry_size: int, webhook_url: str | None =
         self.webhook_url = webhook_url
         self.persistent = False if persistent is None else persistent
 
-    def add_task(self, type: TaskType, req_param: dict, webhook_url: str | None = None) -> QueueTask | None:
+    def add_task(self, type: TaskType, req_param: ImageGenerationParams, webhook_url: str | None = None) -> QueueTask | None:
         """
         Create and add task to queue
         :returns: The created task's job_id, or None if reach the queue size limit
@@ -104,6 +107,13 @@ def is_task_ready_to_start(self, job_id: str) -> bool:
             return False
 
         return self.queue[0].job_id == job_id
+    
+    def is_task_finished(self, job_id: str) -> bool:
+        task = self.get_task(job_id, True)
+        if task is None:
+            return False
+        
+        return task.is_finished
 
     def start_task(self, job_id: str):
         task = self.get_task(job_id)
diff --git a/fooocusapi/worker.py b/fooocusapi/worker.py
index ad12598..a55af3f 100644
--- a/fooocusapi/worker.py
+++ b/fooocusapi/worker.py
@@ -8,10 +8,10 @@
 
 from typing import List
 from fooocusapi.file_utils import save_output_file
-from fooocusapi.parameters import GenerationFinishReason, ImageGenerationParams, ImageGenerationResult
+from fooocusapi.parameters import GenerationFinishReason, ImageGenerationResult
 from fooocusapi.task_queue import QueueTask, TaskQueue, TaskOutputs
 
-task_queue: TaskQueue
+worker_queue: TaskQueue = None
 
 def process_top():
     import ldm_patched.modules.model_management
@@ -20,13 +20,45 @@ def process_top():
 
 @torch.no_grad()
 @torch.inference_mode()
-def process_generate(async_task: QueueTask, params: ImageGenerationParams) -> List[ImageGenerationResult]:
+def task_schedule_loop():
+    while True:
+        if len(worker_queue.queue) == 0:
+            time.sleep(0.05)
+            continue
+        
+        current_task = worker_queue.queue[0]
+        if current_task.start_millis == 0:
+            process_generate(current_task)
+
+
+@torch.no_grad()
+@torch.inference_mode()
+def blocking_get_task_result(job_id: str) -> List[ImageGenerationResult]:
+    waiting_sleep_steps: int = 0
+    waiting_start_time = time.perf_counter()
+    while not worker_queue.is_task_finished(job_id):
+        if waiting_sleep_steps == 0:
+            print(f"[Task Queue] Waiting for task finished, job_id={job_id}")
+        delay = 0.05
+        time.sleep(delay)
+        waiting_sleep_steps += 1
+        if waiting_sleep_steps % int(10 / delay) == 0:
+            waiting_time = time.perf_counter() - waiting_start_time
+            print(f"[Task Queue] Already waiting for {round(waiting_time, 1)} seconds, job_id={job_id}")
+
+    task = worker_queue.get_task(job_id, True)
+    return task.task_result
+
+
+@torch.no_grad()
+@torch.inference_mode()
+def process_generate(async_task: QueueTask):
     try:
         import modules.default_pipeline as pipeline
     except Exception as e:
         print('Import default pipeline error:', e)
         if not async_task.is_finished:
-            task_queue.finish_task(async_task.job_id)
+            worker_queue.finish_task(async_task.job_id)
             async_task.set_result([], True, str(e))
             print(f"[Task Queue] Finish task with error, seq={async_task.job_id}")
         return []
@@ -78,35 +110,20 @@ def yield_result(_, imgs, tasks):
             img_filename = save_output_file(im)
             results.append(ImageGenerationResult(im=img_filename, seed=str(seed), finish_reason=GenerationFinishReason.success))
         async_task.set_result(results, False)
-        task_queue.finish_task(async_task.job_id)
+        worker_queue.finish_task(async_task.job_id)
         print(f"[Task Queue] Finish task, job_id={async_task.job_id}")
 
         outputs.append(['results', imgs])
         pipeline.prepare_text_encoder(async_call=True)
-        return results
 
     try:
-        waiting_sleep_steps: int = 0
-        waiting_start_time = time.perf_counter()
-        while not task_queue.is_task_ready_to_start(async_task.job_id):
-            if waiting_sleep_steps == 0:
-                print(
-                    f"[Task Queue] Waiting for task queue become free, job_id={async_task.job_id}")
-            delay = 0.1
-            time.sleep(delay)
-            waiting_sleep_steps += 1
-            if waiting_sleep_steps % int(10 / delay) == 0:
-                waiting_time = time.perf_counter() - waiting_start_time
-                print(
-                    f"[Task Queue] Already waiting for {waiting_time}S, seq={async_task.job_id}")
-
-        print(f"[Task Queue] Task queue is free, start task, job_id={async_task.job_id}")
-
-        task_queue.start_task(async_task.job_id)
+        print(f"[Task Queue] Task queue start task, job_id={async_task.job_id}")
+        worker_queue.start_task(async_task.job_id)
 
         execution_start_time = time.perf_counter()
 
         # Transform parameters
+        params = async_task.req_param
         prompt = params.prompt
         negative_prompt = params.negative_prompt
         style_selections = params.style_selections
@@ -530,7 +547,8 @@ def yield_result(_, imgs, tasks):
             if direct_return:
                 d = [('Upscale (Fast)', '2x')]
                 log(uov_input_image, d)
-                return yield_result(async_task, uov_input_image, tasks)
+                yield_result(async_task, uov_input_image, tasks)
+                return
 
             tiled = True
             denoising_strength = 0.382
@@ -611,8 +629,9 @@ def yield_result(_, imgs, tasks):
             )
 
             if advanced_parameters.debugging_inpaint_preprocessor:
-                return yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
+                yield_result(async_task, inpaint_worker.current_task.visualize_mask_processing(),
                              do_not_show_finished_images=True)
+                return
 
             progressbar(async_task, 13, 'VAE Inpaint encoding ...')
 
@@ -674,7 +693,8 @@ def yield_result(_, imgs, tasks):
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
                 if advanced_parameters.debugging_cn_preprocessor:
-                    return yield_result(async_task, cn_img, tasks)
+                    yield_result(async_task, cn_img, tasks)
+                    return
             for task in cn_tasks[flags.cn_cpds]:
                 cn_img, cn_stop, cn_weight = task
                 cn_img = resize_image(HWC3(cn_img), width=width, height=height)
@@ -685,7 +705,8 @@ def yield_result(_, imgs, tasks):
                 cn_img = HWC3(cn_img)
                 task[0] = core.numpy_to_pytorch(cn_img)
                 if advanced_parameters.debugging_cn_preprocessor:
-                    return yield_result(async_task, cn_img, tasks)
+                    yield_result(async_task, cn_img, tasks)
+                    return
             for task in cn_tasks[flags.cn_ip]:
                 cn_img, cn_stop, cn_weight = task
                 cn_img = HWC3(cn_img)
@@ -695,7 +716,8 @@ def yield_result(_, imgs, tasks):
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_path)
                 if advanced_parameters.debugging_cn_preprocessor:
-                    return yield_result(async_task, cn_img, tasks)
+                    yield_result(async_task, cn_img, tasks)
+                    return
             for task in cn_tasks[flags.cn_ip_face]:
                 cn_img, cn_stop, cn_weight = task
                 cn_img = HWC3(cn_img)
@@ -708,7 +730,8 @@ def yield_result(_, imgs, tasks):
 
                 task[0] = ip_adapter.preprocess(cn_img, ip_adapter_path=ip_adapter_face_path)
                 if advanced_parameters.debugging_cn_preprocessor:
-                    return yield_result(async_task, cn_img, tasks)
+                    yield_result(async_task, cn_img, tasks)
+                    return
 
             all_ip_tasks = cn_tasks[flags.cn_ip] + cn_tasks[flags.cn_ip_face]
 
@@ -852,15 +875,15 @@ def callback(step, x0, x, total_steps, y):
             print(f'Generating and saving time: {execution_time:.2f} seconds')
 
         if async_task.finish_with_error:
-            task_queue.finish_task(async_task.job_id)
+            worker_queue.finish_task(async_task.job_id)
             return async_task.task_result
-        return yield_result(None, results, tasks)
+        yield_result(None, results, tasks)
+        return
     except Exception as e:
         print('Worker error:', e)
         logging.exception(e)
 
         if not async_task.is_finished:
             async_task.set_result([], True, str(e))
-            task_queue.finish_task(async_task.job_id)
+            worker_queue.finish_task(async_task.job_id)
             print(f"[Task Queue] Finish task with error, job_id={async_task.job_id}")
-        return []
diff --git a/main.py b/main.py
index b58f0a7..28a5fec 100644
--- a/main.py
+++ b/main.py
@@ -320,7 +320,7 @@ def prepare_environments(args) -> bool:
     # Init task queue
     import fooocusapi.worker as worker
     from fooocusapi.task_queue import TaskQueue
-    worker.task_queue = TaskQueue(queue_size=args.queue_size, hisotry_size=args.queue_history, webhook_url=args.webhook_url, persistent=args.persistent)
+    worker.worker_queue = TaskQueue(queue_size=args.queue_size, hisotry_size=args.queue_history, webhook_url=args.webhook_url, persistent=args.persistent)
     print(f"[Fooocus-API] Task queue size: {args.queue_size}, queue history size: {args.queue_history}, webhook url: {args.webhook_url}")
 
     return True
@@ -342,7 +342,7 @@ class Args(object):
         disable_image_log = False
         skip_pip = False
         preload_pipeline = False
-        queue_size = 3
+        queue_size = 100
         queue_history = 0
         preset = None
         webhook_url = None
@@ -410,8 +410,13 @@ def preplaod_pipeline():
         sys.argv = [sys.argv[0]]
 
         # Load pipeline in new thread
-        t = Thread(target=preplaod_pipeline, daemon=True)
-        t.start()
+        preload_pipeline_thread = Thread(target=preplaod_pipeline, daemon=True)
+        preload_pipeline_thread.start()
+
+        # Start task schedule thread
+        from fooocusapi.worker import task_schedule_loop
+        task_schedule_thread = Thread(target=task_schedule_loop, daemon=True)
+        task_schedule_thread.start()
 
         # Start api server
         from fooocusapi.api import start_app
diff --git a/predict.py b/predict.py
index f98afda..ffa816b 100644
--- a/predict.py
+++ b/predict.py
@@ -102,7 +102,7 @@ def predict(
         """Run a single prediction on the model"""
         import modules.flags as flags
         from modules.sdxl_styles import legal_style_names
-        from fooocusapi.worker import process_generate, task_queue
+        from fooocusapi.worker import blocking_get_task_result, worker_queue
 
         base_model_name = default_base_model_name
         refiner_model_name = default_refiner_model_name
@@ -178,18 +178,19 @@ def predict(
                                         outpaint_distance_left=outpaint_distance_left,
                                         outpaint_distance_top=outpaint_distance_top,
                                         outpaint_distance_right=outpaint_distance_right,
-                                        outpaint_distance_bottom=outpaint_distance_bottom
+                                        outpaint_distance_bottom=outpaint_distance_bottom,
+                                        require_base64=False,
                                        )
 
         print(f"[Predictor Predict] Params: {params.__dict__}")
 
-        queue_task = task_queue.add_task(TaskType.text_2_img, {'params': params.__dict__, 'require_base64': False})
-        if queue_task is None:
+        async_task = worker_queue.add_task(TaskType.text_2_img, {'params': params.__dict__, 'require_base64': False})
+        if async_task is None:
             print("[Task Queue] The task queue has reached limit")
             raise Exception(
                 f"The task queue has reached limit."
             )
-        results = process_generate(queue_task, params)
+        results = blocking_get_task_result(async_task.job_id)
 
         output_paths: List[Path] = []
         for r in results: