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feat: enhance comfyui workflow (#10085)
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6692e8c508
commit
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@ -1,5 +1,3 @@
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import base64
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import io
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import json
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import random
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import uuid
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@ -8,7 +6,7 @@ import httpx
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from websocket import WebSocket
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from yarl import URL
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from core.file.file_manager import _get_encoded_string
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from core.file.file_manager import download
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from core.file.models import File
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@ -29,8 +27,7 @@ class ComfyUiClient:
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return response.content
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def upload_image(self, image_file: File) -> dict:
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image_content = base64.b64decode(_get_encoded_string(image_file))
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file = io.BytesIO(image_content)
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file = download(image_file)
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files = {"image": (image_file.filename, file, image_file.mime_type), "overwrite": "true"}
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res = httpx.post(str(self.base_url / "upload/image"), files=files)
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return res.json()
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@ -47,12 +44,7 @@ class ComfyUiClient:
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ws.connect(ws_address)
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return ws, client_id
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def set_prompt(
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self, origin_prompt: dict, positive_prompt: str, negative_prompt: str = "", image_name: str = ""
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) -> dict:
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"""
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find the first KSampler, then can find the prompt node through it.
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"""
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def set_prompt_by_ksampler(self, origin_prompt: dict, positive_prompt: str, negative_prompt: str = "") -> dict:
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prompt = origin_prompt.copy()
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id_to_class_type = {id: details["class_type"] for id, details in prompt.items()}
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k_sampler = [key for key, value in id_to_class_type.items() if value == "KSampler"][0]
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@ -64,9 +56,20 @@ class ComfyUiClient:
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negative_input_id = prompt.get(k_sampler)["inputs"]["negative"][0]
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prompt.get(negative_input_id)["inputs"]["text"] = negative_prompt
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if image_name != "":
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image_loader = [key for key, value in id_to_class_type.items() if value == "LoadImage"][0]
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prompt.get(image_loader)["inputs"]["image"] = image_name
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return prompt
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def set_prompt_images_by_ids(self, origin_prompt: dict, image_names: list[str], image_ids: list[str]) -> dict:
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prompt = origin_prompt.copy()
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for index, image_node_id in enumerate(image_ids):
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prompt[image_node_id]["inputs"]["image"] = image_names[index]
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return prompt
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def set_prompt_images_by_default(self, origin_prompt: dict, image_names: list[str]) -> dict:
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prompt = origin_prompt.copy()
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id_to_class_type = {id: details["class_type"] for id, details in prompt.items()}
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load_image_nodes = [key for key, value in id_to_class_type.items() if value == "LoadImage"]
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for load_image, image_name in zip(load_image_nodes, image_names):
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prompt.get(load_image)["inputs"]["image"] = image_name
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return prompt
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def track_progress(self, prompt: dict, ws: WebSocket, prompt_id: str):
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@ -1,7 +1,9 @@
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import json
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from typing import Any
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from core.file import FileType
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from core.tools.entities.tool_entities import ToolInvokeMessage
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from core.tools.errors import ToolParameterValidationError
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from core.tools.provider.builtin.comfyui.tools.comfyui_client import ComfyUiClient
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from core.tools.tool.builtin_tool import BuiltinTool
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@ -10,19 +12,46 @@ class ComfyUIWorkflowTool(BuiltinTool):
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def _invoke(self, user_id: str, tool_parameters: dict[str, Any]) -> ToolInvokeMessage | list[ToolInvokeMessage]:
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comfyui = ComfyUiClient(self.runtime.credentials["base_url"])
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positive_prompt = tool_parameters.get("positive_prompt")
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negative_prompt = tool_parameters.get("negative_prompt")
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positive_prompt = tool_parameters.get("positive_prompt", "")
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negative_prompt = tool_parameters.get("negative_prompt", "")
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images = tool_parameters.get("images") or []
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workflow = tool_parameters.get("workflow_json")
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image_name = ""
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if image := tool_parameters.get("image"):
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image_names = []
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for image in images:
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if image.type != FileType.IMAGE:
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continue
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image_name = comfyui.upload_image(image).get("name")
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image_names.append(image_name)
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set_prompt_with_ksampler = True
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if "{{positive_prompt}}" in workflow:
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set_prompt_with_ksampler = False
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workflow = workflow.replace("{{positive_prompt}}", positive_prompt)
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workflow = workflow.replace("{{negative_prompt}}", negative_prompt)
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try:
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origin_prompt = json.loads(workflow)
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prompt = json.loads(workflow)
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except:
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return self.create_text_message("the Workflow JSON is not correct")
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prompt = comfyui.set_prompt(origin_prompt, positive_prompt, negative_prompt, image_name)
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if set_prompt_with_ksampler:
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try:
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prompt = comfyui.set_prompt_by_ksampler(prompt, positive_prompt, negative_prompt)
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except:
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raise ToolParameterValidationError(
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"Failed set prompt with KSampler, try replace prompt to {{positive_prompt}} in your workflow json"
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)
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if image_names:
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if image_ids := tool_parameters.get("image_ids"):
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image_ids = image_ids.split(",")
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try:
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prompt = comfyui.set_prompt_images_by_ids(prompt, image_names, image_ids)
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except:
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raise ToolParameterValidationError("the Image Node ID List not match your upload image files.")
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else:
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prompt = comfyui.set_prompt_images_by_default(prompt, image_names)
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images = comfyui.generate_image_by_prompt(prompt)
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result = []
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for img in images:
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@ -24,12 +24,12 @@ parameters:
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zh_Hans: 负面提示词
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llm_description: Negative prompt, you should describe the image you don't want to generate as a list of words as possible as detailed, the prompt must be written in English.
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form: llm
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- name: image
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type: file
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- name: images
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type: files
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label:
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en_US: Input Image
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en_US: Input Images
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zh_Hans: 输入的图片
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llm_description: The input image, used to transfer to the comfyui workflow to generate another image.
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llm_description: The input images, used to transfer to the comfyui workflow to generate another image.
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form: llm
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- name: workflow_json
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type: string
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@ -40,3 +40,15 @@ parameters:
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en_US: exported from ComfyUI workflow
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zh_Hans: 从ComfyUI的工作流中导出
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form: form
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- name: image_ids
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type: string
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label:
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en_US: Image Node ID List
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zh_Hans: 图片节点ID列表
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placeholder:
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en_US: Use commas to separate multiple node ID
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zh_Hans: 多个节点ID时使用半角逗号分隔
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human_description:
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en_US: When the workflow has multiple image nodes, enter the ID list of these nodes, and the images will be passed to ComfyUI in the order of the list.
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zh_Hans: 当工作流有多个图片节点时,输入这些节点的ID列表,图片将按列表顺序传给ComfyUI
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form: form
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