diff --git a/nodes.py b/nodes.py
index 5fb882f..af7c968 100644
--- a/nodes.py
+++ b/nodes.py
@@ -71,7 +71,98 @@ class DrawThingsTxt2Img:
             images.append(tensor_image)
         return (torch.stack(images),)
 
+class DrawThingsImg2Img:
+    def __init__(self):
+        pass
 
-NODE_CLASS_MAPPINGS = {"DrawThingsTxt2Img": DrawThingsTxt2Img}
+    CATEGORY = "DrawThingsWrapper"
 
-NODE_DISPLAY_NAME_MAPPINGS = {"DrawThingsTxt2Img": "Draw Things Txt2Img"}
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model": ("STRING", {"default": "flux_1_dev_q8p.ckpt"}),
+                "prompt": ("STRING", {"default": ""}),
+                "seed": ("INT", {"default": 42}),
+                "width": ("INT", {"default": 512}),
+                "height": ("INT", {"default": 512}),
+                "guidance_scale": ("FLOAT", {"default": 3.5}),
+                "sampler": (["UniPC","DPM++ 2M Karras","Euler Ancestral", "DPM++ SDE Karras", "PLMS", "DDIM", "LCM", "Euler A Substep", "DPM++ SDE Substep", "TCD", "DPM++ 2M Trailing", "Euler A Trailing", "DPM++ SDE Trailing", "DDIM Trailing", "DPM++ 2M AYS", "Euler A AYS", "DPM++ SDE AYS"], {"default": "Euler A Trailing"}),
+                "steps": ("INT", {"default": 20}),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    RETURN_NAMES = ("generated_image",)
+    FUNCTION = "generate_image"
+
+    def generate_image(self, model, prompt, seed, width, height, guidance_scale, sampler, steps):
+        # Call the Draw Things API
+        api_url = "http://127.0.0.1:7860/sdapi/v1/img2img"
+
+        payload = {
+            "model": model,
+            "prompt": prompt,
+            "seed": seed,
+            "width": width,
+            "height": height,
+            "guidance_scale": guidance_scale,
+            "sampler": sampler,
+            "steps": steps,
+        }
+
+#        response = requests.post(api_url, json=payload)
+#
+#        # Raise an error if the request failed
+#        response.raise_for_status()
+#
+#        # Parse the JSON response
+#        data = response.json()
+#        print("Dia duit!")
+#        #print(data)
+#        print(type(data))
+#        print(type(payload))
+
+        # Path to your PNG image file
+        image_path = "/Users/jparker/data/sd_outputs/.people/marbro/inputs/1_512sq.JPG"
+
+        # Read the image and encode it as base64
+        with open(image_path, "rb") as image_file:
+            encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
+
+        payload["init_images"] = [encoded_string]
+        #print(payload)
+
+        response = requests.post(api_url, json=payload)
+
+        #data = response.json()
+        #print(data)
+        # Raise an error if the request failed
+        response.raise_for_status()
+
+        # Parse the JSON response
+        data = response.json()
+        print(data)
+
+        # Process the images (assuming they are base64 encoded or raw binary data)
+        images = []
+        for img_data in data["images"]:
+            image_bytes = base64.b64decode(img_data)
+            # Convert the image data to a Pillow Image object
+            image = Image.open(io.BytesIO(image_bytes))
+            image_np = np.array(image)
+            # Convert to float32 tensor and normalize
+            tensor_image = torch.from_numpy(image_np.astype(np.float32) / 255.0)
+            images.append(tensor_image)
+        return (torch.stack(images),)
+
+
+NODE_CLASS_MAPPINGS = {
+  "DrawThingsTxt2Img": DrawThingsTxt2Img,
+  "DrawThingsImg2Img": DrawThingsImg2Img,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+  "DrawThingsTxt2Img": "Draw Things Txt2Img", 
+  "DrawThingsImg2Img": "Draw Things Img2Img",
+}