diff --git a/runner/Dockerfile b/runner/Dockerfile
index 5d00e2d2..e3605e46 100644
--- a/runner/Dockerfile
+++ b/runner/Dockerfile
@@ -54,4 +54,6 @@ COPY images/ /app/images
 COPY bench.py /app/bench.py
 COPY example_data/ /app/example_data
 
-CMD ["uvicorn", "app.main:app", "--log-config", "app/cfg/uvicorn_logging_config.json", "--host", "0.0.0.0", "--port", "8000"]
+EXPOSE 8700
+
+CMD ["uvicorn", "app.main:app", "--log-config", "app/cfg/uvicorn_logging_config.json", "--host", "0.0.0.0", "--port", "8700"]
diff --git a/runner/app/main.py b/runner/app/main.py
index b6441a04..a9d7ecb8 100644
--- a/runner/app/main.py
+++ b/runner/app/main.py
@@ -5,6 +5,9 @@
 from app.routes import health
 from fastapi import FastAPI
 from fastapi.routing import APIRoute
+from .routes import image_outpainting  
+from .pipelines.image_outpainting import ImageOutpaintingPipeline
+from app.routes.image_outpainting import router as image_router
 
 logger = logging.getLogger(__name__)
 
@@ -57,6 +60,8 @@ def load_pipeline(pipeline: str, model_id: str) -> any:
         case "llm":
             from app.pipelines.llm import LLMPipeline
             return LLMPipeline(model_id)
+        case "image-outpainting":
+            return ImageOutpaintingPipeline(model_id)
         case _:
             raise EnvironmentError(
                 f"{pipeline} is not a valid pipeline for model {model_id}"
@@ -94,6 +99,8 @@ def load_route(pipeline: str) -> any:
         case "llm":
             from app.routes import llm
             return llm.router
+        case "image-outpainting":
+            return image_router
         case _:
             raise EnvironmentError(f"{pipeline} is not a valid pipeline")
 
@@ -113,3 +120,4 @@ def use_route_names_as_operation_ids(app: FastAPI) -> None:
 
 
 app = FastAPI(lifespan=lifespan)
+app.include_router(image_router)
diff --git a/runner/app/pipelines/image_outpainting.py b/runner/app/pipelines/image_outpainting.py
new file mode 100644
index 00000000..e241bcc0
--- /dev/null
+++ b/runner/app/pipelines/image_outpainting.py
@@ -0,0 +1,54 @@
+from diffusers import AutoPipelineForInpainting
+import torch
+from PIL import Image
+import numpy as np
+
+class ImageOutpaintingPipeline:
+    def __init__(self):
+        self.device = "cuda" if torch.cuda.is_available() else "cpu"
+        try:
+            # Use AutoPipelineForInpainting to load ProPainter
+            self.pipe = AutoPipelineForInpainting.from_pretrained("ruffy369/propainter", torch_dtype=torch.float16).to(self.device)
+            print("ProPainter model loaded successfully.")
+        except Exception as e:
+            print(f"Error loading ProPainter model: {e}")
+            self.pipe = None
+
+    def __call__(
+        self,
+        image: Image.Image,
+        prompt: str,
+        negative_prompt: str = None,
+        num_inference_steps: int = 50,
+        guidance_scale: float = 7.5,
+    ):
+        if self.pipe is None:
+            print("ProPainter model is not loaded. Cannot perform outpainting.")
+            return None
+
+        # Prepare the image for outpainting
+        width, height = image.size
+        target_size = min(max(width, height) * 2, 1024)  # Double the size, but cap at 1024
+        new_image = Image.new('RGB', (target_size, target_size), (255, 255, 255))
+        new_image.paste(image, ((target_size - width) // 2, (target_size - height) // 2))
+        
+        # Create a mask for outpainting
+        mask = Image.new('L', (target_size, target_size), 255)
+        mask.paste(0, ((target_size - width) // 2, (target_size - height) // 2, 
+                       (target_size + width) // 2, (target_size + height) // 2))
+
+        try:
+            # Generate the outpainted image
+            output = self.pipe(
+                prompt=prompt,
+                image=new_image,
+                mask_image=mask,
+                negative_prompt=negative_prompt,
+                num_inference_steps=num_inference_steps,
+                guidance_scale=guidance_scale,
+            ).images[0]
+
+            return output
+        except Exception as e:
+            print(f"Error during outpainting: {e}")
+            return None
diff --git a/runner/app/routes/image_outpainting.py b/runner/app/routes/image_outpainting.py
new file mode 100644
index 00000000..c0ae090e
--- /dev/null
+++ b/runner/app/routes/image_outpainting.py
@@ -0,0 +1,57 @@
+from fastapi import APIRouter, File, UploadFile, Form, HTTPException, Query
+from PIL import Image
+import io
+from ..pipelines.image_outpainting import ImageOutpaintingPipeline
+from .util import ImageOutpaintingResponse
+
+
+router = APIRouter()
+pipeline = ImageOutpaintingPipeline()
+
+
+
+def resize_image(image: Image.Image, max_size: int = 1024) -> Image.Image:
+    """Resize image while maintaining aspect ratio if it exceeds max_size"""
+    if max(image.size) > max_size:
+        image.thumbnail((max_size, max_size))
+    return image
+
+@router.post("/out-paint", response_model=ImageOutpaintingResponse)
+async def out_paint(
+    image: UploadFile = File(...),
+    prompt: str = Form(...),
+    negative_prompt: str = Form(None),
+    num_inference_steps: int = Form(50, ge=1, le=1000),
+    guidance_scale: float = Form(7.5, ge=0, le=20),
+):
+    if len(prompt) > 1000:
+        raise HTTPException(status_code=400, detail="Prompt is too long")
+    if negative_prompt and len(negative_prompt) > 1000:
+        raise HTTPException(status_code=400, detail="Negative prompt is too long")
+    
+    try:
+        image_content = await image.read()
+        input_image = resize_image(Image.open(io.BytesIO(image_content)).convert("RGB"))
+        
+        output_image = pipeline(
+            image=input_image,
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            num_inference_steps=num_inference_steps,
+            guidance_scale=guidance_scale,
+        )
+        
+        # Convert the output image to bytes for response
+        img_byte_arr = io.BytesIO()
+        output_image.save(img_byte_arr, format='PNG')
+        img_byte_arr = img_byte_arr.getvalue()
+        
+        return ImageOutpaintingResponse(
+            image=img_byte_arr,
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            num_inference_steps=num_inference_steps,
+            guidance_scale=guidance_scale
+        )
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"An error occurred during outpainting: {str(e)}")
diff --git a/runner/app/routes/util.py b/runner/app/routes/util.py
index 2371c9e1..6976777e 100644
--- a/runner/app/routes/util.py
+++ b/runner/app/routes/util.py
@@ -181,3 +181,15 @@ def json_str_to_np_array(
             error_message += f": {e}"
             raise ValueError(error_message)
     return None
+
+
+class ImageOutpaintingResponse(BaseModel):
+    """
+    Response model for the image outpainting operation.
+    Contains the resulting outpainted image and the parameters used in the process."""
+    
+    image: bytes = Field(..., description="The outpainted image in bytes format.")
+    prompt: str = Field(..., description="The prompt used for outpainting.")
+    negative_prompt: str = Field(None, description="The negative prompt used for outpainting, if any.")
+    num_inference_steps: int = Field(..., description="The number of inference steps used.")
+    guidance_scale: float = Field(..., description="The guidance scale used for outpainting.")
diff --git a/runner/dl_checkpoints.sh b/runner/dl_checkpoints.sh
index 5a241fdf..6b1c24a3 100755
--- a/runner/dl_checkpoints.sh
+++ b/runner/dl_checkpoints.sh
@@ -43,6 +43,16 @@ function download_beta_models() {
     # Download image-to-video models (token-gated).
     check_hf_auth
     huggingface-cli download stabilityai/stable-video-diffusion-img2vid-xt-1-1 --include "*.fp16.safetensors" "*.json" --cache-dir models ${TOKEN_FLAG:+"$TOKEN_FLAG"}
+
+    # Download ProPainter and stable-outpainting models
+    printf "\nDownloading outpainting models...\n"
+    huggingface-cli download ruffy369/propainter --cache-dir models
+    # Only download stable-outpainting if ProPainter fails
+    if [ $? -ne 0 ]; then
+        printf "Failed to download ProPainter model. Downloading stable-outpainting as backup...\n"
+        huggingface-cli download Brvcket/stable-outpainting-xl-0.1 --cache-dir models
+    fi
+
 }
 
 # Download all models.
diff --git a/runner/gateway.openapi.yaml b/runner/gateway.openapi.yaml
index a8bba1b1..754c746b 100644
--- a/runner/gateway.openapi.yaml
+++ b/runner/gateway.openapi.yaml
@@ -2,17 +2,17 @@ openapi: 3.1.0
 info:
   title: Livepeer AI Runner
   description: An application to run AI pipelines
-  version: ''
+  version: ""
 servers:
-- url: https://dream-gateway.livepeer.cloud
-  description: Livepeer Cloud Community Gateway
-- url: https://livepeer.studio/api/beta/generate
-  description: Livepeer Studio Gateway
+  - url: https://dream-gateway.livepeer.cloud
+    description: Livepeer Cloud Community Gateway
+  - url: https://livepeer.studio/api/beta/generate
+    description: Livepeer Studio Gateway
 paths:
   /text-to-image:
     post:
       tags:
-      - generate
+        - generate
       summary: Text To Image
       description: Generate images from text prompts.
       operationId: genTextToImage
@@ -20,47 +20,47 @@ paths:
         content:
           application/json:
             schema:
-              $ref: '#/components/schemas/TextToImageParams'
+              $ref: "#/components/schemas/TextToImageParams"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ImageResponse'
+                $ref: "#/components/schemas/ImageResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: textToImage
   /image-to-image:
     post:
       tags:
-      - generate
+        - generate
       summary: Image To Image
       description: Apply image transformations to a provided image.
       operationId: genImageToImage
@@ -68,47 +68,47 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_genImageToImage'
+              $ref: "#/components/schemas/Body_genImageToImage"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ImageResponse'
+                $ref: "#/components/schemas/ImageResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: imageToImage
   /image-to-video:
     post:
       tags:
-      - generate
+        - generate
       summary: Image To Video
       description: Generate a video from a provided image.
       operationId: genImageToVideo
@@ -116,47 +116,47 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_genImageToVideo'
+              $ref: "#/components/schemas/Body_genImageToVideo"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/VideoResponse'
+                $ref: "#/components/schemas/VideoResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: imageToVideo
   /upscale:
     post:
       tags:
-      - generate
+        - generate
       summary: Upscale
       description: Upscale an image by increasing its resolution.
       operationId: genUpscale
@@ -164,47 +164,47 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_genUpscale'
+              $ref: "#/components/schemas/Body_genUpscale"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/ImageResponse'
+                $ref: "#/components/schemas/ImageResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: upscale
   /audio-to-text:
     post:
       tags:
-      - generate
+        - generate
       summary: Audio To Text
       description: Transcribe audio files to text.
       operationId: genAudioToText
@@ -212,53 +212,53 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_genAudioToText'
+              $ref: "#/components/schemas/Body_genAudioToText"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/TextResponse'
+                $ref: "#/components/schemas/TextResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '413':
+                $ref: "#/components/schemas/HTTPError"
+        "413":
           description: Request Entity Too Large
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: audioToText
   /segment-anything-2:
     post:
       tags:
-      - generate
+        - generate
       summary: Segment Anything 2
       description: Segment objects in an image.
       operationId: genSegmentAnything2
@@ -266,47 +266,47 @@ paths:
         content:
           multipart/form-data:
             schema:
-              $ref: '#/components/schemas/Body_genSegmentAnything2'
+              $ref: "#/components/schemas/Body_genSegmentAnything2"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/MasksResponse'
+                $ref: "#/components/schemas/MasksResponse"
                 x-speakeasy-name-override: data
-        '400':
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: segmentAnything2
   /llm:
     post:
       tags:
-      - generate
+        - generate
       summary: LLM
       description: Generate text using a language model.
       operationId: genLLM
@@ -314,42 +314,79 @@ paths:
         content:
           application/x-www-form-urlencoded:
             schema:
-              $ref: '#/components/schemas/Body_genLLM'
+              $ref: "#/components/schemas/Body_genLLM"
         required: true
       responses:
-        '200':
+        "200":
           description: Successful Response
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/LLMResponse'
-        '400':
+                $ref: "#/components/schemas/LLMResponse"
+        "400":
           description: Bad Request
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '401':
+                $ref: "#/components/schemas/HTTPError"
+        "401":
           description: Unauthorized
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '500':
+                $ref: "#/components/schemas/HTTPError"
+        "500":
           description: Internal Server Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPError'
-        '422':
+                $ref: "#/components/schemas/HTTPError"
+        "422":
           description: Validation Error
           content:
             application/json:
               schema:
-                $ref: '#/components/schemas/HTTPValidationError'
+                $ref: "#/components/schemas/HTTPValidationError"
       security:
-      - HTTPBearer: []
+        - HTTPBearer: []
       x-speakeasy-name-override: llm
+  /out-paint:
+    post:
+      summary: Outpaint an image
+      operationId: outPaintImage
+      tags:
+        - image outpainting
+      requestBody:
+        content:
+          multipart/form-data:
+            schema:
+              type: object
+              properties:
+                image:
+                  type: string
+                  format: binary
+                prompt:
+                  type: string
+                negative_prompt:
+                  type: string
+                controlnet_conditioning_scale:
+                  type: number
+                  format: float
+                num_inference_steps:
+                  type: integer
+                guidance_scale:
+                  type: number
+                  format: float
+              required:
+                - image
+                - prompt
+      responses:
+        "200":
+          description: Successful response
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ImageOutpaintingResponse"
 components:
   schemas:
     APIError:
@@ -360,7 +397,7 @@ components:
           description: The error message.
       type: object
       required:
-      - msg
+        - msg
       title: APIError
       description: API error response model.
     Body_genAudioToText:
@@ -374,11 +411,11 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for transcription.
-          default: ''
+          default: ""
       type: object
       required:
-      - audio
-      - model_id
+        - audio
+        - model_id
       title: Body_genAudioToText
     Body_genImageToImage:
       properties:
@@ -395,42 +432,48 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for image generation.
-          default: ''
+          default: ""
         loras:
           type: string
           title: Loras
-          description: 'A LoRA (Low-Rank Adaptation) model and its corresponding weight
+          description:
+            'A LoRA (Low-Rank Adaptation) model and its corresponding weight
             for image generation. Example: { "latent-consistency/lcm-lora-sdxl": 1.0,
             "nerijs/pixel-art-xl": 1.2}.'
-          default: ''
+          default: ""
         strength:
           type: number
           title: Strength
-          description: Degree of transformation applied to the reference image (0
+          description:
+            Degree of transformation applied to the reference image (0
             to 1).
           default: 0.8
         guidance_scale:
           type: number
           title: Guidance Scale
-          description: Encourages model to generate images closely linked to the text
+          description:
+            Encourages model to generate images closely linked to the text
             prompt (higher values may reduce image quality).
           default: 7.5
         image_guidance_scale:
           type: number
           title: Image Guidance Scale
-          description: Degree to which the generated image is pushed towards the initial
+          description:
+            Degree to which the generated image is pushed towards the initial
             image.
           default: 1.5
         negative_prompt:
           type: string
           title: Negative Prompt
-          description: Text prompt(s) to guide what to exclude from image generation.
+          description:
+            Text prompt(s) to guide what to exclude from image generation.
             Ignored if guidance_scale < 1.
-          default: ''
+          default: ""
         safety_check:
           type: boolean
           title: Safety Check
-          description: Perform a safety check to estimate if generated images could
+          description:
+            Perform a safety check to estimate if generated images could
             be offensive or harmful.
           default: true
         seed:
@@ -440,7 +483,8 @@ components:
         num_inference_steps:
           type: integer
           title: Num Inference Steps
-          description: Number of denoising steps. More steps usually lead to higher
+          description:
+            Number of denoising steps. More steps usually lead to higher
             quality images but slower inference. Modulated by strength.
           default: 100
         num_images_per_prompt:
@@ -450,9 +494,9 @@ components:
           default: 1
       type: object
       required:
-      - prompt
-      - image
-      - model_id
+        - prompt
+        - image
+        - model_id
       title: Body_genImageToImage
     Body_genImageToVideo:
       properties:
@@ -465,7 +509,7 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for video generation.
-          default: ''
+          default: ""
         height:
           type: integer
           title: Height
@@ -484,19 +528,22 @@ components:
         motion_bucket_id:
           type: integer
           title: Motion Bucket Id
-          description: Used for conditioning the amount of motion for the generation.
+          description:
+            Used for conditioning the amount of motion for the generation.
             The higher the number the more motion will be in the video.
           default: 127
         noise_aug_strength:
           type: number
           title: Noise Aug Strength
-          description: Amount of noise added to the conditioning image. Higher values
+          description:
+            Amount of noise added to the conditioning image. Higher values
             reduce resemblance to the conditioning image and increase motion.
           default: 0.02
         safety_check:
           type: boolean
           title: Safety Check
-          description: Perform a safety check to estimate if generated images could
+          description:
+            Perform a safety check to estimate if generated images could
             be offensive or harmful.
           default: true
         seed:
@@ -506,13 +553,14 @@ components:
         num_inference_steps:
           type: integer
           title: Num Inference Steps
-          description: Number of denoising steps. More steps usually lead to higher
+          description:
+            Number of denoising steps. More steps usually lead to higher
             quality images but slower inference. Modulated by strength.
           default: 25
       type: object
       required:
-      - image
-      - model_id
+        - image
+        - model_id
       title: Body_genImageToVideo
     Body_genLLM:
       properties:
@@ -522,11 +570,11 @@ components:
         model_id:
           type: string
           title: Model Id
-          default: ''
+          default: ""
         system_msg:
           type: string
           title: System Msg
-          default: ''
+          default: ""
         temperature:
           type: number
           title: Temperature
@@ -538,15 +586,15 @@ components:
         history:
           type: string
           title: History
-          default: '[]'
+          default: "[]"
         stream:
           type: boolean
           title: Stream
           default: false
       type: object
       required:
-      - prompt
-      - model_id
+        - prompt
+        - model_id
       title: Body_genLLM
     Body_genSegmentAnything2:
       properties:
@@ -559,49 +607,56 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for image generation.
-          default: ''
+          default: ""
         point_coords:
           type: string
           title: Point Coords
-          description: Nx2 array of point prompts to the model, where each point is
+          description:
+            Nx2 array of point prompts to the model, where each point is
             in (X,Y) in pixels.
         point_labels:
           type: string
           title: Point Labels
-          description: Labels for the point prompts, where 1 indicates a foreground
+          description:
+            Labels for the point prompts, where 1 indicates a foreground
             point and 0 indicates a background point.
         box:
           type: string
           title: Box
-          description: A length 4 array given as a box prompt to the model, in XYXY
+          description:
+            A length 4 array given as a box prompt to the model, in XYXY
             format.
         mask_input:
           type: string
           title: Mask Input
-          description: A low-resolution mask input to the model, typically from a
+          description:
+            A low-resolution mask input to the model, typically from a
             previous prediction iteration, with the form 1xHxW (H=W=256 for SAM).
         multimask_output:
           type: boolean
           title: Multimask Output
-          description: If true, the model will return three masks for ambiguous input
+          description:
+            If true, the model will return three masks for ambiguous input
             prompts, often producing better masks than a single prediction.
           default: true
         return_logits:
           type: boolean
           title: Return Logits
-          description: If true, returns un-thresholded mask logits instead of a binary
+          description:
+            If true, returns un-thresholded mask logits instead of a binary
             mask.
           default: true
         normalize_coords:
           type: boolean
           title: Normalize Coords
-          description: If true, the point coordinates will be normalized to the range
+          description:
+            If true, the point coordinates will be normalized to the range
             [0,1], with point_coords expected to be with respect to image dimensions.
           default: true
       type: object
       required:
-      - image
-      - model_id
+        - image
+        - model_id
       title: Body_genSegmentAnything2
     Body_genUpscale:
       properties:
@@ -618,11 +673,12 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for upscaled image generation.
-          default: ''
+          default: ""
         safety_check:
           type: boolean
           title: Safety Check
-          description: Perform a safety check to estimate if generated images could
+          description:
+            Perform a safety check to estimate if generated images could
             be offensive or harmful.
           default: true
         seed:
@@ -632,31 +688,32 @@ components:
         num_inference_steps:
           type: integer
           title: Num Inference Steps
-          description: Number of denoising steps. More steps usually lead to higher
+          description:
+            Number of denoising steps. More steps usually lead to higher
             quality images but slower inference. Modulated by strength.
           default: 75
       type: object
       required:
-      - prompt
-      - image
-      - model_id
+        - prompt
+        - image
+        - model_id
       title: Body_genUpscale
     HTTPError:
       properties:
         detail:
           allOf:
-          - $ref: '#/components/schemas/APIError'
+            - $ref: "#/components/schemas/APIError"
           description: Detailed error information.
       type: object
       required:
-      - detail
+        - detail
       title: HTTPError
       description: HTTP error response model.
     HTTPValidationError:
       properties:
         detail:
           items:
-            $ref: '#/components/schemas/ValidationError'
+            $ref: "#/components/schemas/ValidationError"
           type: array
           title: Detail
       type: object
@@ -665,13 +722,13 @@ components:
       properties:
         images:
           items:
-            $ref: '#/components/schemas/Media'
+            $ref: "#/components/schemas/Media"
           type: array
           title: Images
           description: The generated images.
       type: object
       required:
-      - images
+        - images
       title: ImageResponse
       description: Response model for image generation.
     LLMResponse:
@@ -684,8 +741,8 @@ components:
           title: Tokens Used
       type: object
       required:
-      - response
-      - tokens_used
+        - response
+        - tokens_used
       title: LLMResponse
     MasksResponse:
       properties:
@@ -703,9 +760,9 @@ components:
           description: The raw, unnormalized predictions (logits) for the masks.
       type: object
       required:
-      - masks
-      - scores
-      - logits
+        - masks
+        - scores
+        - logits
       title: MasksResponse
       description: Response model for object segmentation.
     Media:
@@ -724,9 +781,9 @@ components:
           description: Whether the media was flagged as NSFW.
       type: object
       required:
-      - url
-      - seed
-      - nsfw
+        - url
+        - seed
+        - nsfw
       title: Media
       description: A media object containing information about the generated media.
     TextResponse:
@@ -737,14 +794,14 @@ components:
           description: The generated text.
         chunks:
           items:
-            $ref: '#/components/schemas/chunk'
+            $ref: "#/components/schemas/chunk"
           type: array
           title: Chunks
           description: The generated text chunks.
       type: object
       required:
-      - text
-      - chunks
+        - text
+        - chunks
       title: TextResponse
       description: Response model for text generation.
     TextToImageParams:
@@ -753,18 +810,20 @@ components:
           type: string
           title: Model Id
           description: Hugging Face model ID used for image generation.
-          default: ''
+          default: ""
         loras:
           type: string
           title: Loras
-          description: 'A LoRA (Low-Rank Adaptation) model and its corresponding weight
+          description:
+            'A LoRA (Low-Rank Adaptation) model and its corresponding weight
             for image generation. Example: { "latent-consistency/lcm-lora-sdxl": 1.0,
             "nerijs/pixel-art-xl": 1.2}.'
-          default: ''
+          default: ""
         prompt:
           type: string
           title: Prompt
-          description: Text prompt(s) to guide image generation. Separate multiple
+          description:
+            Text prompt(s) to guide image generation. Separate multiple
             prompts with '|' if supported by the model.
         height:
           type: integer
@@ -779,19 +838,22 @@ components:
         guidance_scale:
           type: number
           title: Guidance Scale
-          description: Encourages model to generate images closely linked to the text
+          description:
+            Encourages model to generate images closely linked to the text
             prompt (higher values may reduce image quality).
           default: 7.5
         negative_prompt:
           type: string
           title: Negative Prompt
-          description: Text prompt(s) to guide what to exclude from image generation.
+          description:
+            Text prompt(s) to guide what to exclude from image generation.
             Ignored if guidance_scale < 1.
-          default: ''
+          default: ""
         safety_check:
           type: boolean
           title: Safety Check
-          description: Perform a safety check to estimate if generated images could
+          description:
+            Perform a safety check to estimate if generated images could
             be offensive or harmful.
           default: true
         seed:
@@ -801,7 +863,8 @@ components:
         num_inference_steps:
           type: integer
           title: Num Inference Steps
-          description: Number of denoising steps. More steps usually lead to higher
+          description:
+            Number of denoising steps. More steps usually lead to higher
             quality images but slower inference. Modulated by strength.
           default: 50
         num_images_per_prompt:
@@ -811,16 +874,16 @@ components:
           default: 1
       type: object
       required:
-      - prompt
-      - model_id
+        - prompt
+        - model_id
       title: TextToImageParams
     ValidationError:
       properties:
         loc:
           items:
             anyOf:
-            - type: string
-            - type: integer
+              - type: string
+              - type: integer
           type: array
           title: Location
         msg:
@@ -831,21 +894,21 @@ components:
           title: Error Type
       type: object
       required:
-      - loc
-      - msg
-      - type
+        - loc
+        - msg
+        - type
       title: ValidationError
     VideoResponse:
       properties:
         images:
           items:
-            $ref: '#/components/schemas/Media'
+            $ref: "#/components/schemas/Media"
           type: array
           title: Images
           description: The generated images.
       type: object
       required:
-      - images
+        - images
       title: VideoResponse
       description: Response model for image generation.
     chunk:
@@ -861,10 +924,21 @@ components:
           description: The text of the chunk.
       type: object
       required:
-      - timestamp
-      - text
+        - timestamp
+        - text
       title: chunk
       description: A chunk of text with a timestamp.
+    ImageOutpaintingResponse:
+      properties:
+        image:
+          type: string
+          format: binary
+          title: Image
+          description: The outpainted image.
+      type: object
+      required:
+        - image
+      title: ImageOutpaintingResponse
   securitySchemes:
     HTTPBearer:
       type: http
diff --git a/runner/gen_openapi.py b/runner/gen_openapi.py
index 6f557055..e3697957 100644
--- a/runner/gen_openapi.py
+++ b/runner/gen_openapi.py
@@ -12,7 +12,8 @@
     segment_anything_2,
     text_to_image,
     upscale,
-    llm
+    llm,
+    image_outpainting
 )
 from fastapi.openapi.utils import get_openapi
 import subprocess
@@ -125,6 +126,7 @@ def write_openapi(fname: str, entrypoint: str = "runner", version: str = "0.0.0"
     app.include_router(audio_to_text.router)
     app.include_router(segment_anything_2.router)
     app.include_router(llm.router)
+    app.include_router(image_outpainting.router, tags=["image outpainting"])  
 
     logger.info(f"Generating OpenAPI schema for '{entrypoint}' entrypoint...")
     openapi = get_openapi(
diff --git a/runner/requirements.txt b/runner/requirements.txt
index 87f72e43..9b0edef3 100644
--- a/runner/requirements.txt
+++ b/runner/requirements.txt
@@ -6,16 +6,20 @@ pydantic==2.7.2
 Pillow==10.3.0
 python-multipart==0.0.9
 uvicorn==0.30.0
-huggingface_hub==0.23.2
+huggingface_hub[cli]==0.23.2
 xformers==0.0.23
 triton>=2.1.0
 peft==0.11.1
 deepcache==0.1.1
 safetensors==0.4.3
 scipy==1.13.0
-numpy==1.26.4
+numpy==2.1.2
 av==12.1.0
-sentencepiece== 0.2.0
+sentencepiece==0.2.0
 protobuf==5.27.2
 bitsandbytes==0.43.3
 psutil==6.0.0
+controlnet_aux==0.0.7
+opencv-python-headless==4.8.0.74
+torch==2.1.1
+torchvision==0.16.1
\ No newline at end of file