From fb3cb96349e175bd237c3a3e7f3edcaedab5fe56 Mon Sep 17 00:00:00 2001 From: toto Date: Thu, 2 Nov 2023 15:30:34 +0800 Subject: [PATCH] init commit --- .gitignore | 2 + LICENSE.txt | 201 +++++++++++++++++++++++++++++++++++++ __init__.py | 37 +++++++ comfyui/__init__.py | 58 +++++++++++ comfyui/nodes.py | 56 +++++++++++ comfyui/utils/__init__.py | 0 comfyui/utils/img_utils.py | 49 +++++++++ 7 files changed, 403 insertions(+) create mode 100644 .gitignore create mode 100644 LICENSE.txt create mode 100644 __init__.py create mode 100644 comfyui/__init__.py create mode 100644 comfyui/nodes.py create mode 100644 comfyui/utils/__init__.py create mode 100644 comfyui/utils/img_utils.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..083d732 --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +__pycache__ +.idea diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..7339592 --- /dev/null +++ b/__init__.py @@ -0,0 +1,37 @@ +import os +import subprocess +import sys +import threading + +root_path = os.path.dirname(__file__) +parent_dir = os.path.dirname(root_path) +sys.path.append(root_path) +from .comfyui.nodes import * + +NODE_CLASS_MAPPINGS = { + "FC_LoraMerge": FCLoraMerge, +} +NODE_DISPLAY_NAME_MAPPINGS = { + "FC_LoraMerge": "FC LoraMerge", +} +__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS'] +install_model = ["python-slugify==8.0.1", "modelscope", "controlnet_aux==0.0.6", "onnxruntime==1.15.1", "mmcv==1.7.0", "mmdet==2.26.0", "mediapipe==0.10.3", "edge_tts"] + +def handle_stream(stream, prefix): + for line in stream: + print(prefix, line, end="") + +def run_script(cmd, cwd='.'): + process = subprocess.Popen(cmd, cwd=cwd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1) + stdout_thread = threading.Thread(target=handle_stream, args=(process.stdout, "")) + stderr_thread = threading.Thread(target=handle_stream, args=(process.stderr, "[!]")) + stdout_thread.start() + stderr_thread.start() + stdout_thread.join() + stderr_thread.join() + return process.wait() + +if os.path.basename(parent_dir) == "custom_nodes": + print("## installing facechain dependencies") + for model in install_model: + run_script([sys.executable, '-s', '-m', 'pip', 'install', '-q', model]) diff --git a/comfyui/__init__.py b/comfyui/__init__.py new file mode 100644 index 0000000..d15239e --- /dev/null +++ b/comfyui/__init__.py @@ -0,0 +1,58 @@ + +# Copyright (c) Alibaba, Inc. and its affiliates. +import json +import os + +import cv2 +import numpy as np +import torch +from PIL import Image +from diffusers import StableDiffusionPipeline, StableDiffusionControlNetPipeline, ControlNetModel, \ + UniPCMultistepScheduler +from modelscope.outputs import OutputKeys +from modelscope.pipelines import pipeline +from modelscope.utils.constant import Tasks +from torch import multiprocessing +from transformers import pipeline as tpipeline +from ..facechain.data_process.preprocessing import Blipv2 +from ..facechain.merge_lora import merge_lora + +class FCLoraMerge: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "merge_lora_first": ("MODEL",), + "merge_lora_second": ("MODEL",), + "multiplier": ("FLOAT", {"default": 0.5, "min": 0, "max": 1, "step": 0.1}) + } + } + + RETURN_TYPES = ("MODEL",) + RETURN_NAMES = ("lora",) + FUNCTION = "merge_lora" + CATEGORY = "facechain/lora" + + def retain_face(self, merge_lora_first, merge_lora_second): + + pipe = StableDiffusionPipeline.from_pretrained(base_model_path, safety_checker=None, torch_dtype=torch.float32) + + merge_lora() + return (image,) + +class FCLoraStyle: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "merge_lora_first": ("MODEL",), + } + } + + RETURN_TYPES = ("MODEL",) + RETURN_NAMES = ("style_lora",) + FUNCTION = "lora_style" + CATEGORY = "facechain/lora" + + def lora_style(self, image): + return (image,) diff --git a/comfyui/nodes.py b/comfyui/nodes.py new file mode 100644 index 0000000..1ecea38 --- /dev/null +++ b/comfyui/nodes.py @@ -0,0 +1,56 @@ + +# Copyright (c) Alibaba, Inc. and its affiliates. +import json +import os + +import cv2 +import numpy as np +import torch +from PIL import Image +from diffusers import StableDiffusionPipeline, StableDiffusionControlNetPipeline, ControlNetModel, \ + UniPCMultistepScheduler +from modelscope.outputs import OutputKeys +from modelscope.pipelines import pipeline +from modelscope.utils.constant import Tasks +from torch import multiprocessing +from transformers import pipeline as tpipeline + +class FCLoraMerge: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "merge_lora_first": ("MODEL",), + "merge_lora_second": ("MODEL",), + "multiplier": ("FLOAT", {"default": 0.5, "min": 0, "max": 1, "step": 0.1}) + } + } + + RETURN_TYPES = ("MODEL",) + RETURN_NAMES = ("lora",) + FUNCTION = "merge_lora" + CATEGORY = "facechain/lora" + + def retain_face(self, merge_lora_first, merge_lora_second): + + pipe = StableDiffusionPipeline.from_pretrained(base_model_path, safety_checker=None, torch_dtype=torch.float32) + + merge_lora() + return (image,) + +class FCLoraStyle: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "merge_lora_first": ("MODEL",), + } + } + + RETURN_TYPES = ("MODEL",) + RETURN_NAMES = ("style_lora",) + FUNCTION = "lora_style" + CATEGORY = "facechain/lora" + + def lora_style(self, image): + return (image,) diff --git a/comfyui/utils/__init__.py b/comfyui/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/comfyui/utils/img_utils.py b/comfyui/utils/img_utils.py new file mode 100644 index 0000000..3dbfda1 --- /dev/null +++ b/comfyui/utils/img_utils.py @@ -0,0 +1,49 @@ +import numpy as np +import torch +from PIL import ImageOps +from PIL import Image + +# import pydevd_pycharm +# pydevd_pycharm.settrace('49.7.62.197', port=10090, stdoutToServer=True, stderrToServer=True) + +def img_to_tensor(input): + i = ImageOps.exif_transpose(input) + image = i.convert("RGB") + image = np.array(image).astype(np.float32) / 255.0 + tensor = torch.from_numpy(image)[None,] + return tensor + +def img_to_np(input): + i = ImageOps.exif_transpose(input) + image = i.convert("RGB") + image_np = np.array(image).astype(np.float32) + return image_np + +def img_to_mask(input): + i = ImageOps.exif_transpose(input) + image = i.convert("RGB") + new_np = np.array(image).astype(np.float32) / 255.0 + mask_tensor = torch.from_numpy(new_np).permute(2, 0, 1)[0:1, :, :] + return mask_tensor + +def np_to_tensor(input): + image = input.astype(np.float32) / 255.0 + tensor = torch.from_numpy(image)[None,] + return tensor + +def tensor_to_img(image): + image = image[0] + i = 255. * image.cpu().numpy() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)).convert("RGB") + return img + +def tensor_to_np(image): + image = image[0] + i = 255. * image.cpu().numpy() + result = np.clip(i, 0, 255).astype(np.uint8) + return result + +def np_to_mask(input): + new_np = input.astype(np.float32) / 255.0 + tensor = torch.from_numpy(new_np).permute(2, 0, 1)[0:1, :, :] + return tensor