feat: comfyui integration

backend/apps/images/utils/comfyui.py

@@ -0,0 +1,228 @@
+import websocket  # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+import uuid
+import json
+import urllib.request
+import urllib.parse
+import random
+
+from pydantic import BaseModel
+
+from typing import Optional
+
+COMFYUI_DEFAULT_PROMPT = """
+{
+  "3": {
+    "inputs": {
+      "seed": 0,
+      "steps": 20,
+      "cfg": 8,
+      "sampler_name": "euler",
+      "scheduler": "normal",
+      "denoise": 1,
+      "model": [
+        "4",
+        0
+      ],
+      "positive": [
+        "6",
+        0
+      ],
+      "negative": [
+        "7",
+        0
+      ],
+      "latent_image": [
+        "5",
+        0
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "KSampler"
+    }
+  },
+  "4": {
+    "inputs": {
+      "ckpt_name": "model.safetensors"
+    },
+    "class_type": "CheckpointLoaderSimple",
+    "_meta": {
+      "title": "Load Checkpoint"
+    }
+  },
+  "5": {
+    "inputs": {
+      "width": 512,
+      "height": 512,
+      "batch_size": 1
+    },
+    "class_type": "EmptyLatentImage",
+    "_meta": {
+      "title": "Empty Latent Image"
+    }
+  },
+  "6": {
+    "inputs": {
+      "text": "Prompt",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "7": {
+    "inputs": {
+      "text": "Negative Prompt",
+      "clip": [
+        "4",
+        1
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP Text Encode (Prompt)"
+    }
+  },
+  "8": {
+    "inputs": {
+      "samples": [
+        "3",
+        0
+      ],
+      "vae": [
+        "4",
+        2
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE Decode"
+    }
+  },
+  "9": {
+    "inputs": {
+      "filename_prefix": "ComfyUI",
+      "images": [
+        "8",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "Save Image"
+    }
+  }
+}
+"""
+
+
+def queue_prompt(prompt, client_id, base_url):
+    print("queue_prompt")
+    p = {"prompt": prompt, "client_id": client_id}
+    data = json.dumps(p).encode("utf-8")
+    req = urllib.request.Request(f"{base_url}/prompt", data=data)
+    return json.loads(urllib.request.urlopen(req).read())
+
+
+def get_image(filename, subfolder, folder_type, base_url):
+    print("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    with urllib.request.urlopen(f"{base_url}/view?{url_values}") as response:
+        return response.read()
+
+
+def get_image_url(filename, subfolder, folder_type, base_url):
+    print("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    return f"{base_url}/view?{url_values}"
+
+
+def get_history(prompt_id, base_url):
+    print("get_history")
+    with urllib.request.urlopen(f"{base_url}/history/{prompt_id}") as response:
+        return json.loads(response.read())
+
+
+def get_images(ws, prompt, client_id, base_url):
+    prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
+    output_images = []
+    while True:
+        out = ws.recv()
+        if isinstance(out, str):
+            message = json.loads(out)
+            if message["type"] == "executing":
+                data = message["data"]
+                if data["node"] is None and data["prompt_id"] == prompt_id:
+                    break  # Execution is done
+        else:
+            continue  # previews are binary data
+
+    history = get_history(prompt_id, base_url)[prompt_id]
+    for o in history["outputs"]:
+        for node_id in history["outputs"]:
+            node_output = history["outputs"][node_id]
+            if "images" in node_output:
+                for image in node_output["images"]:
+                    url = get_image_url(
+                        image["filename"], image["subfolder"], image["type"], base_url
+                    )
+                    output_images.append({"url": url})
+    return {"data": output_images}
+
+
+class ImageGenerationPayload(BaseModel):
+    prompt: str
+    negative_prompt: Optional[str] = ""
+    steps: Optional[int] = None
+    seed: Optional[int] = None
+    width: int
+    height: int
+    n: int = 1
+
+
+def comfyui_generate_image(
+    model: str, payload: ImageGenerationPayload, client_id, base_url
+):
+    host = base_url.replace("http://", "").replace("https://", "")
+
+    comfyui_prompt = json.loads(COMFYUI_DEFAULT_PROMPT)
+
+    comfyui_prompt["4"]["inputs"]["ckpt_name"] = model
+    comfyui_prompt["5"]["inputs"]["batch_size"] = payload.n
+    comfyui_prompt["5"]["inputs"]["width"] = payload.width
+    comfyui_prompt["5"]["inputs"]["height"] = payload.height
+
+    # set the text prompt for our positive CLIPTextEncode
+    comfyui_prompt["6"]["inputs"]["text"] = payload.prompt
+    comfyui_prompt["7"]["inputs"]["text"] = payload.negative_prompt
+
+    if payload.steps:
+        comfyui_prompt["3"]["inputs"]["steps"] = payload.steps
+
+    comfyui_prompt["3"]["inputs"]["seed"] = (
+        payload.seed if payload.seed else random.randint(0, 18446744073709551614)
+    )
+
+    try:
+        ws = websocket.WebSocket()
+        ws.connect(f"ws://{host}/ws?clientId={client_id}")
+        print("WebSocket connection established.")
+    except Exception as e:
+        print(f"Failed to connect to WebSocket server: {e}")
+        return None
+
+    try:
+        images = get_images(ws, comfyui_prompt, client_id, base_url)
+    except Exception as e:
+        print(f"Error while receiving images: {e}")
+        images = None
+
+    ws.close()
+
+    return images