From 9d9c1a6c84654bc3efa241e86c65ae4796807796 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 12:29:01 +0800 Subject: [PATCH 01/12] update --- .gitignore | 3 +- README.md | 4 +- __init__.py | 76 ++++++-- example/image-to-image_1_Wed Dec 27 2023.json | 1 + .../text-to-image_1_Wed Dec 27 2023.json | 0 nodes/Utils.py | 13 +- web/index.html | 178 +++++++++++++++--- web/javascript/app_mixlab.js | 26 +-- 8 files changed, 232 insertions(+), 69 deletions(-) create mode 100644 example/image-to-image_1_Wed Dec 27 2023.json rename {app => example}/text-to-image_1_Wed Dec 27 2023.json (100%) diff --git a/.gitignore b/.gitignore index a43654a..cea31fe 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,5 @@ __pycache__/ https/ nodes/config.json workflow/my_workflow.json -workflow/my_workflow_app.json \ No newline at end of file +workflow/my_workflow_app.json +app/* \ No newline at end of file diff --git a/README.md b/README.md index 681722f..b801fd1 100644 --- a/README.md +++ b/README.md @@ -9,8 +9,8 @@ Example: ![APP info](./workflow/appinfo-workflow.svg) APP-JSON: -- [text-to-image](./app/text-to-image_1_Wed%20Dec%2027%202023.json) -- [image-to-image](./app/image-to-image_1_Wed%20Dec%2027%202023.json) +- [text-to-image](./example/text-to-image_1_Wed%20Dec%2027%202023.json) +- [image-to-image](./example/image-to-image_1_Wed%20Dec%2027%202023.json) - text-to-text > 暂时支持6种节点作为界面上的输入节点：Load Image、CLIPTextEncode、TextInput_、FloatSlider、CheckpointLoaderSimple、LoraLoader diff --git a/__init__.py b/__init__.py index c277074..1040796 100644 --- a/__init__.py +++ b/__init__.py @@ -162,17 +162,53 @@ def get_workflows(): workflows=read_workflow_json_files(workflow_path) return workflows -def get_my_workflow_for_app(): - # print("#####path::", current_path) - workflow_path=os.path.join(current_path, "workflow/my_workflow_app.json") - print('workflow_path: ',workflow_path) - json_data={} - try: - with open(workflow_path) as json_file: - json_data = json.load(json_file) - except: - print('-') - return json_data +def get_my_workflow_for_app(filename="my_workflow_app.json"): + app_path=os.path.join(current_path, "app") + if not os.path.exists(app_path): + os.mkdir(app_path) + + apps=[] + if filename==None: + data=read_workflow_json_files(app_path) + i=0 + for item in data: + try: + x=item["data"] + if i==0: + apps.append({ + "filename":item["filename"], + "data":x, + "date":item["date"] + }) + else: + apps.append({ + "filename":item["filename"], + "data":{ + "app":{ + "description":x['app']['description'], + "filename":(x['app']['filename'] if 'filename' in x['app'] else "") , + "icon":x['app']['icon'], + "name":x['app']['name'], + "version":x['app']['version'], + } + }, + "date":item["date"] + }) + i+=1 + except Exception as e: + print("发生异常：", str(e)) + else: + app_workflow_path=os.path.join(app_path, filename) + # print('app_workflow_path: ',app_workflow_path) + try: + with open(app_workflow_path) as json_file: + apps = [{ + 'filename':filename, + 'data':json.load(json_file) + }] + except: + print('-') + return apps def save_workflow_json(data): workflow_path=os.path.join(current_path, "workflow/my_workflow.json") @@ -180,11 +216,14 @@ def save_workflow_json(data): json.dump(data, file) return workflow_path -def save_workflow_for_app(data): - workflow_path=os.path.join(current_path, "workflow/my_workflow_app.json") - with open(workflow_path, 'w') as file: +def save_workflow_for_app(data,filename="my_workflow_app.json"): + app_path=os.path.join(current_path, "app") + if not os.path.exists(app_path): + os.mkdir(app_path) + app_workflow_path=os.path.join(app_path, filename) + with open(app_workflow_path, 'w') as file: json.dump(data, file) - return workflow_path + return app_workflow_path def get_nodes_map(): # print("#####path::", current_path) @@ -295,14 +334,17 @@ async def mixlab_workflow_hander(request): 'file_path':file_path } elif data['task']=='save_app': - file_path=save_workflow_for_app(data['data']) + file_path=save_workflow_for_app(data['data'],data['filename']) result={ 'status':'success', 'file_path':file_path } elif data['task']=='my_app': + filename=None + if 'filename' in data: + filename=data['filename'] result={ - 'data':get_my_workflow_for_app(), + 'data':get_my_workflow_for_app(filename), 'status':'success', } elif data['task']=='list': diff --git a/example/image-to-image_1_Wed Dec 27 2023.json b/example/image-to-image_1_Wed Dec 27 2023.json new file mode 100644 index 0000000..43d0766 --- /dev/null +++ b/example/image-to-image_1_Wed Dec 27 2023.json @@ -0,0 +1 @@ +{"workflow":{"last_node_id":14,"last_link_id":16,"nodes":[{"id":6,"type":"VAEDecode","pos":[1885,-2361],"size":{"0":210,"1":46},"flags":{"collapsed":false},"order":7,"mode":0,"inputs":[{"name":"samples","type":"LATENT","link":7},{"name":"vae","type":"VAE","link":8}],"outputs":[{"name":"IMAGE","type":"IMAGE","links":[9],"slot_index":0}],"properties":{"Node name for S&R":"VAEDecode"}},{"id":11,"type":"LoadImage","pos":[583,-2681],"size":{"0":315,"1":314},"flags":{},"order":0,"mode":0,"outputs":[{"name":"IMAGE","type":"IMAGE","links":[12],"shape":3,"slot_index":0},{"name":"MASK","type":"MASK","links":null,"shape":3}],"properties":{"Node name for S&R":"LoadImage"},"widgets_values":["1703572811473.png","image"]},{"id":2,"type":"CheckpointLoaderSimple","pos":[606.7134002168859,-2074.502640857575],"size":{"0":315,"1":98},"flags":{},"order":1,"mode":0,"outputs":[{"name":"MODEL","type":"MODEL","links":[1],"slot_index":0},{"name":"CLIP","type":"CLIP","links":[5,6],"slot_index":1},{"name":"VAE","type":"VAE","links":[8,13],"slot_index":2}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["deliberate_v2.safetensors"]},{"id":12,"type":"VAEEncode","pos":[1016.6295835601803,-2655.91833999939],"size":{"0":210,"1":46},"flags":{},"order":5,"mode":0,"inputs":[{"name":"pixels","type":"IMAGE","link":12},{"name":"vae","type":"VAE","link":13}],"outputs":[{"name":"LATENT","type":"LATENT","links":[14],"shape":3,"slot_index":0}],"properties":{"Node name for S&R":"VAEEncode"}},{"id":5,"type":"CLIPTextEncode","pos":[1029,-2149],"size":{"0":425.27801513671875,"1":180.6060791015625},"flags":{},"order":4,"mode":0,"inputs":[{"name":"clip","type":"CLIP","link":6}],"outputs":[{"name":"CONDITIONING","type":"CONDITIONING","links":[3],"slot_index":0}],"title":"负向prompt","properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["text, 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"}} \ No newline at end of file diff --git a/app/text-to-image_1_Wed Dec 27 2023.json b/example/text-to-image_1_Wed Dec 27 2023.json similarity index 100% rename from app/text-to-image_1_Wed Dec 27 2023.json rename to example/text-to-image_1_Wed Dec 27 2023.json diff --git a/nodes/Utils.py b/nodes/Utils.py index 65d4f61..6134c08 100644 --- a/nodes/Utils.py +++ b/nodes/Utils.py @@ -369,14 +369,14 @@ class AppInfo: @classmethod def INPUT_TYPES(s): return {"required": { - "name": ("STRING",{"multiline": False,"default": "Mixlab-App"}), + "name": ("STRING",{"multiline": False,"default": "Mixlab-App","dynamicPrompts": False}), "image": ("IMAGE",), - "input_ids":("STRING",{"multiline": True,"default": "\n".join(["1","2","3"])}), - "output_ids":("STRING",{"multiline": True,"default": "\n".join(["5","9"])}), + "input_ids":("STRING",{"multiline": True,"default": "\n".join(["1","2","3"]),"dynamicPrompts": False}), + "output_ids":("STRING",{"multiline": True,"default": "\n".join(["5","9"]),"dynamicPrompts": False}), }, "optional":{ - "description":("STRING",{"multiline": True,"default": ""}), + "description":("STRING",{"multiline": True,"default": "","dynamicPrompts": False}), "version":("INT", { "default": 1, "min": 1, @@ -384,6 +384,7 @@ class AppInfo: "step": 1, "display": "number" }), + "share_prefix":("STRING",{"multiline": False,"default": "","dynamicPrompts": False}), } } @@ -398,13 +399,13 @@ class AppInfo: INPUT_IS_LIST = False OUTPUT_IS_LIST = (False,) - def run(self,name,image,input_ids,output_ids,description,version): + def run(self,name,image,input_ids,output_ids,description,version,share_prefix): im=create_temp_file(image) # id=get_json_hash([name,im,input_ids,output_ids,description,version]) - return {"ui": {"json": [name,im,input_ids,output_ids,description,version]}, "result": (image,)} + return {"ui": {"json": [name,im,input_ids,output_ids,description,version,share_prefix]}, "result": (image,)} diff --git a/web/index.html b/web/index.html index 2e60eb6..43ab956 100644 --- a/web/index.html +++ b/web/index.html @@ -13,7 +13,63 @@ margin-left: 5%; } + .apps { + margin: 0 32px; + background: whitesmoke; + color: black; + padding: 12px; + cursor: pointer; + } + .apps .content { + display: flex; + } + + .apps .card { + width: 200px; + margin: 12px; + display: flex; + flex-direction: row; + background: #f8f8f8; + cursor: pointer; + user-select: none; + } + + .apps .selected { + box-shadow: 0px 0px 10px 10px #fbe9f0 + } + + .apps .card:hover { + box-shadow: 0px 0px 10px 10px #e9fbfa + } + + .apps .card h5 { + font-size: 14px; + margin: 10px 0; + } + + .apps .card p { + margin: 0; + padding: 0; + } + + .apps .card img { + width: 100px; + height: fit-content; + margin-right: 12px; + } + + .apps .card .item { + display: flex; + flex-direction: column; + justify-content: space-between; + align-items: flex-start; + } + + .apps .card .version { + font-size: 12px; + + } .status { background: black; @@ -138,22 +194,21 @@ .upload_btn { width: 188px; cursor: pointer; - height: 188px; - background: black; + /* height: 188px; */ + /* background: black; */ color: white; display: flex; justify-content: center; align-items: center; text-align: center; font-size: 14px; - margin-left: calc(50% - 94px); - margin-top: calc(30vh - 94px); + color: black; } - .upload_btn:hover { + /* .upload_btn:hover { outline: 4px solid yellow; color: yellow; - } + } */ .show_text { font-size: 14px; @@ -258,24 +313,34 @@ }); } - async function get_my_app() { + async function get_my_app(filename = null) { let url = get_url() const res = await fetch(`${url}/mixlab/workflow`, { method: 'POST', body: JSON.stringify({ - task: 'my_app' + task: 'my_app', + filename }) }) let result = await res.json(); + let data = []; + try { + for (const res of result.data) { + let { output, app } = res.data + data.push({ + ...app, + data: output, + date: res.date + }) + } + } catch (error) { - let { output, app } = result.data - - return { - ...app, - data: output } + + + return data } @@ -750,7 +815,7 @@ }); } - } + }, }; } @@ -758,7 +823,7 @@ // 创建一个div元素 var div = document.createElement('div'); - div.className = 'upload_btn' + div.className = 'upload_btn card' div.textContent = '点击上传JSON文件'; div.addEventListener('click', function () { document.getElementById('jsonFileInput').click(); @@ -775,10 +840,10 @@ reader.onload = function (e) { var contents = e.target.result; var jsonData = JSON.parse(contents); - setTimeout(() => { - div.remove(); - input.remove(); - }, 500); + // setTimeout(() => { + // div.remove(); + // input.remove(); + // }, 500); let { output, app } = jsonData; @@ -786,7 +851,7 @@ ...app, data: output }; - + document.body.querySelector('.app').remove() createApp(window._appData); // res(jsonData); @@ -795,10 +860,9 @@ }); // 将div和input元素添加到body中 - document.body.appendChild(div); + // document.body.appendChild(div); document.body.appendChild(input); - - + return div } @@ -886,22 +950,74 @@ api.api_base = "" api.init(); + } + // 创建app的选择菜单 + function createAppList(apps = []) { + let details = document.createElement('details'); + details.className = 'apps'; + + details.innerHTML = `APPs +
` + + let div = details.querySelector('div'); + + for (let index = 0; index < apps.length; index++) { + const app = apps[index]; + let d = document.createDocumentFragment(); + let dd = document.createElement('div'); + d.appendChild(dd); + dd.className = 'card' + (index == 0 ? ' selected' : '') + dd.innerHTML = ` +
+ +
+
+
+
${app.name}
+

${app.description}

+
+
+

version: ${app.version}

+ +
+
+ ` + + div.appendChild(d); + dd.addEventListener('click', async e => { + e.preventDefault(); + Array.from(div.querySelectorAll('.card'), c => c.classList.remove('selected')); + dd.className = 'card selected' + // console.log(app.filename) + + window._appData = (await get_my_app(app.filename))[0]; + document.body.querySelector('.app').remove() + createApp(window._appData); + + }) + // console.log(div) + }; + + let uploadApp = createUploadJson(); + div.appendChild(uploadApp); + + document.body.appendChild(details); + } async function init_app() { - let appData = {} - const type = getTypeFromUrl(location.href); if (type === 'new') { - createUploadJson(); - } else { - appData = await get_my_app(); - // console.log(appData) - window._appData = appData; - createApp(appData); + } else { + window._apps = await get_my_app(); + window._appData = window._apps[0]; + createAppList(window._apps); + createApp(window._appData); + // console.log(appData) + } diff --git a/web/javascript/app_mixlab.js b/web/javascript/app_mixlab.js index 454cdcd..c502468 100644 --- a/web/javascript/app_mixlab.js +++ b/web/javascript/app_mixlab.js @@ -81,8 +81,9 @@ function extractInputAndOutputData (jsonData, inputIds = [], outputIds = []) { if (node.type === 'CheckpointLoaderSimple') { options = node.widgets.filter(w => w.name === 'ckpt_name')[0] .options.values - }else if(node.type === 'LoraLoader'){ - options =node.widgets.filter(w=>w.name==='lora_name')[0].options.values + } else if (node.type === 'LoraLoader') { + options = node.widgets.filter(w => w.name === 'lora_name')[0] + .options.values } } catch (error) {} @@ -119,7 +120,8 @@ async function save_app (json) { method: 'POST', body: JSON.stringify({ data: json, - task: 'save_app' + task: 'save_app', + filename: json.app.filename }) }) return await res.json() @@ -170,7 +172,8 @@ async function save (json, download = false) { description, version, input, - output + output, + filename: `${name}_${version}_${new Date().toDateString()}.json` } try { @@ -180,10 +183,7 @@ async function save (json, download = false) { // let http_workflow = app.graph.serialize() if (download) { - await downloadJsonFile( - data, - `${data.app.name}_${data.app.version}_${new Date().toDateString()}.json` - ) + await downloadJsonFile(data, data.app.filename) let open = window.confirm( `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?type=new` ) @@ -208,7 +208,7 @@ app.registerExtension({ const orig_nodeCreated = nodeType.prototype.onNodeCreated nodeType.prototype.onNodeCreated = function () { orig_nodeCreated?.apply(this, arguments) - // console.log(this) + console.log('#orig_nodeCreated', this) const widget = { type: 'div', name: 'AppInfoRun', @@ -218,7 +218,7 @@ app.registerExtension({ get_position_style( ctx, widget_width, - node.widgets[4].last_y + 24, + node.size[1] - widget_height, node.size[1] ) ) @@ -236,7 +236,7 @@ app.registerExtension({ widget.div = $el('div', {}) const btn = document.createElement('button') - btn.innerText = 'Save For App' + btn.innerText = 'Save & Open' btn.style = style btn.addEventListener('click', () => { @@ -246,6 +246,7 @@ app.registerExtension({ } else { alert('Please run the workflow before saving') // app.queuePrompt(0, 1) + this.widgets.filter(w => w.name === 'version')[0].value += 1 } }) @@ -261,6 +262,7 @@ app.registerExtension({ } else { alert('Please run the workflow before saving') // app.queuePrompt(0, 1) + this.widgets.filter(w => w.name === 'version')[0].value += 1 } }) @@ -282,7 +284,7 @@ app.registerExtension({ const onExecuted = nodeType.prototype.onExecuted nodeType.prototype.onExecuted = async function (message) { onExecuted?.apply(this, arguments) - // console.log(this.widgets) + console.log(message.json) window._mixlab_app_json = message.json try { From 4153d3e5ffa5899b546c2669f23f6025e4e14945 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 12:37:03 +0800 Subject: [PATCH 02/12] 1 --- __init__.py | 6 +++--- web/index.html | 13 +++++++------ 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/__init__.py b/__init__.py index 1040796..fa502fd 100644 --- a/__init__.py +++ b/__init__.py @@ -187,7 +187,7 @@ def get_my_workflow_for_app(filename="my_workflow_app.json"): "app":{ "description":x['app']['description'], "filename":(x['app']['filename'] if 'filename' in x['app'] else "") , - "icon":x['app']['icon'], + "icon":(x['app']['icon'] if 'icon' in x['app'] else None), "name":x['app']['name'], "version":x['app']['version'], } @@ -206,8 +206,8 @@ def get_my_workflow_for_app(filename="my_workflow_app.json"): 'filename':filename, 'data':json.load(json_file) }] - except: - print('-') + except Exception as e: + print("发生异常：", str(e)) return apps def save_workflow_json(data): diff --git a/web/index.html b/web/index.html index 43ab956..001d32a 100644 --- a/web/index.html +++ b/web/index.html @@ -328,8 +328,8 @@ let data = []; try { for (const res of result.data) { - let { output, app } = res.data - data.push({ + let { output, app } = res.data; + if(app.filename) data.push({ ...app, data: output, date: res.date @@ -851,7 +851,7 @@ ...app, data: output }; - document.body.querySelector('.app').remove() + if (document.body.querySelector('.app')) document.body.querySelector('.app').remove() createApp(window._appData); // res(jsonData); @@ -867,6 +867,7 @@ async function createApp(appData) { + console.log(appData) // 使用示例： var ui = createUI(appData.input, appData.output); @@ -958,7 +959,7 @@ let details = document.createElement('details'); details.className = 'apps'; - details.innerHTML = `APPs + details.innerHTML = `APPs #${apps.length}
` let div = details.querySelector('div'); @@ -971,7 +972,7 @@ dd.className = 'card' + (index == 0 ? ' selected' : '') dd.innerHTML = `
- +
@@ -993,7 +994,7 @@ // console.log(app.filename) window._appData = (await get_my_app(app.filename))[0]; - document.body.querySelector('.app').remove() + if (document.body.querySelector('.app')) document.body.querySelector('.app').remove() createApp(window._appData); }) From a968f08abd1251cccd9f6e67009a654277a2d048 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 14:16:44 +0800 Subject: [PATCH 03/12] update --- __init__.py | 19 ++++++++++++++++-- app/image-to-image_1_Wed Dec 27 2023.json | 1 - web/index.html | 24 +++++++++++------------ web/javascript/app_mixlab.js | 8 +++++++- 4 files changed, 35 insertions(+), 17 deletions(-) delete mode 100644 app/image-to-image_1_Wed Dec 27 2023.json diff --git a/__init__.py b/__init__.py index fa502fd..954f104 100644 --- a/__init__.py +++ b/__init__.py @@ -4,7 +4,7 @@ import subprocess import importlib.util import sys,json import urllib - +import hashlib import datetime @@ -79,6 +79,13 @@ install_openai() current_path = os.path.abspath(os.path.dirname(__file__)) + +def calculate_md5(string): + encoded_string = string.encode() + md5_hash = hashlib.md5(encoded_string).hexdigest() + return md5_hash + + def create_key(key_p,crt_p): import OpenSSL # 生成自签名证书 @@ -221,9 +228,17 @@ def save_workflow_for_app(data,filename="my_workflow_app.json"): if not os.path.exists(app_path): os.mkdir(app_path) app_workflow_path=os.path.join(app_path, filename) + + try: + output_str = json.dumps(data['output']) + data['app']['id']=calculate_md5(output_str) + # id=data['app']['id'] + except Exception as e: + print("发生异常：", str(e)) + with open(app_workflow_path, 'w') as file: json.dump(data, file) - return app_workflow_path + return filename def get_nodes_map(): # print("#####path::", current_path) diff --git a/app/image-to-image_1_Wed Dec 27 2023.json b/app/image-to-image_1_Wed Dec 27 2023.json deleted file mode 100644 index 43d0766..0000000 --- a/app/image-to-image_1_Wed Dec 27 2023.json +++ /dev/null @@ -1 +0,0 @@ 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"}} \ No newline at end of file diff --git a/web/index.html b/web/index.html index 001d32a..ffefeb4 100644 --- a/web/index.html +++ b/web/index.html @@ -329,7 +329,7 @@ try { for (const res of result.data) { let { output, app } = res.data; - if(app.filename) data.push({ + if (app.filename) data.push({ ...app, data: output, date: res.date @@ -664,16 +664,16 @@ return [div, selectElement]; } - function getTypeFromUrl(url) { + function getFilenameFromUrl(url) { const queryString = url.split('?')[1]; if (!queryString) { return null; } const params = new URLSearchParams(queryString); - const type = params.get('type'); + const filename = decodeURIComponent(params.get('filename')); - return type; + return filename; } @@ -1009,19 +1009,17 @@ async function init_app() { - const type = getTypeFromUrl(location.href); - if (type === 'new') { - + const filename = getFilenameFromUrl(location.href); + if (filename) { + window._apps = await get_my_app(filename); } else { window._apps = await get_my_app(); - window._appData = window._apps[0]; - createAppList(window._apps); - createApp(window._appData); - // console.log(appData) - } - + window._appData = window._apps[0]; + createAppList(window._apps); + createApp(window._appData); + }; init_app() diff --git a/web/javascript/app_mixlab.js b/web/javascript/app_mixlab.js index c502468..984b0d9 100644 --- a/web/javascript/app_mixlab.js +++ b/web/javascript/app_mixlab.js @@ -146,6 +146,7 @@ function downloadJsonFile (jsonData, fileName = 'mix_app.json') { async function save (json, download = false) { const name = json[0], version = json[5], + share_prefix = json[6], //用于分享的功能扩展 description = json[4], inputIds = json[2].split('\n').filter(f => f), outputIds = json[3].split('\n').filter(f => f) @@ -173,6 +174,7 @@ async function save (json, download = false) { version, input, output, + share_prefix, filename: `${name}_${version}_${new Date().toDateString()}.json` } @@ -183,11 +185,15 @@ async function save (json, download = false) { // let http_workflow = app.graph.serialize() if (download) { + const { filename } = await save_app(data) await downloadJsonFile(data, data.app.filename) let open = window.confirm( `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?type=new` ) - if (open) window.open(`${getUrl()}/mixlab/app?type=new`) + if (open) + window.open( + `${getUrl()}/mixlab/app?filename=${encodeURIComponent(filename)}` + ) } else { await save_app(data) From 3069de188af28011aaac416151465f35093471fa Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 17:02:44 +0800 Subject: [PATCH 04/12] 1 --- __init__.py | 2 +- nodes/ChatGPT.py | 10 +- web/index.html | 211 ++++++++++++++++++++++++++++++++--- web/javascript/app_mixlab.js | 6 +- 4 files changed, 206 insertions(+), 23 deletions(-) diff --git a/__init__.py b/__init__.py index 954f104..660495d 100644 --- a/__init__.py +++ b/__init__.py @@ -416,7 +416,7 @@ PromptServer.add_routes=new_add_routes # 导入节点 from .nodes.PromptNode import RandomPrompt -from .nodes.ImageNode import NoiseImage,TransparentImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,EmptyLayer,ShowLayer,NewLayer,MergeLayers,AreaToMask,SmoothMask,FeatheredMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask +from .nodes.ImageNode import NoiseImage,TransparentImage,LoadImagesFromPath,LoadImagesFromURL,ResizeImage,TextImage,SvgImage,Image3D,ShowLayer,NewLayer,MergeLayers,AreaToMask,SmoothMask,FeatheredMask,SplitLongMask,ImageCropByAlpha,EnhanceImage,FaceToMask from .nodes.Vae import VAELoader,VAEDecode from .nodes.ScreenShareNode import ScreenShareNode,FloatingVideo from .nodes.Clipseg import CLIPSeg,CombineMasks diff --git a/nodes/ChatGPT.py b/nodes/ChatGPT.py index 65a506d..5e08ee8 100644 --- a/nodes/ChatGPT.py +++ b/nodes/ChatGPT.py @@ -75,11 +75,11 @@ class ChatGPTNode: "required": { "api_key":("KEY", {"default": "", "multiline": True}), "api_url":("URL", {"default": "", "multiline": True}), - "prompt": ("STRING", {"multiline": True}), + "prompt": ("STRING", {"multiline": True,"dynamicPrompts": False}), "system_content": ("STRING", { "default": "You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible.", - "multiline": True + "multiline": True,"dynamicPrompts": False }), "model": (["gpt-3.5-turbo","gpt-35-turbo","gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-4-0613","gpt-4-1106-preview"], {"default": "gpt-3.5-turbo"}), @@ -167,7 +167,7 @@ class ShowTextForGPT: def INPUT_TYPES(s): return { "required": { - "text": ("STRING", {"forceInput": True}), + "text": ("STRING", {"forceInput": True,"dynamicPrompts": False}), } } @@ -189,8 +189,8 @@ class CharacterInText: def INPUT_TYPES(s): return { "required": { - "text": ("STRING", {"multiline": True}), - "character": ("STRING", {"multiline": True}), + "text": ("STRING", {"multiline": True,"dynamicPrompts": False}), + "character": ("STRING", {"multiline": True,"dynamicPrompts": False}), "start_index": ("INT", { "default": 1, "min": 0, #Minimum value diff --git a/web/index.html b/web/index.html index ffefeb4..5566630 100644 --- a/web/index.html +++ b/web/index.html @@ -124,13 +124,18 @@ flex-direction: column; } + .output { + width: 90%; + margin: 12px; + } + .output_card { height: 100%; width: 100%; box-shadow: 0px 0px 8px 3px #e6e7e7; display: flex; - + flex-wrap: wrap; /* justify-content: center; align-items: center; */ @@ -140,6 +145,8 @@ video { max-width: 400px; max-height: 600px; + margin: 8px; + min-width: 200px; } .card { @@ -213,8 +220,9 @@ .show_text { font-size: 14px; /* display: inline-block; */ - /* margin: 13px; */ + margin: 8px; padding: 32px; + min-width: 200px; background: #242424; color: white; } @@ -345,24 +353,69 @@ function createOutputs(outputData) { - // Array.from( window._appData.output,n=>n.id) - const container = document.createElement("div"); - container.className = 'output_card' + const container = document.createElement('div'); + container.className = "output"; + + const action = document.createElement('div'); + container.appendChild(action) + + const copyHTML = document.createElement('button'); + copyHTML.innerText = 'copy as html' + action.appendChild(copyHTML) + + const copyImages = document.createElement('button'); + copyImages.innerText = 'copy images' + action.appendChild(copyImages) + copyImages.style.marginLeft = '18px'; + + const copyText = document.createElement('button'); + copyText.innerText = 'copy text' + action.appendChild(copyText) + copyText.style.marginLeft = '18px'; + + const output_card = document.createElement("div"); + output_card.className = 'output_card' + container.appendChild(output_card) + + const success = (isSuccess, btn, text) => { + isSuccess ? btn.innerText = 'success' : text; + setTimeout(() => { + btn.innerText = text; + }, 5000) + } + + copyText.addEventListener('click', e => { + e.preventDefault(); + copyTextToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy text')) + + }) + + copyImages.addEventListener('click', e => { + e.preventDefault(); + // copyHtmlWithImagesToClipboard(output_card.outerHTML) + copyImagesToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy images')) + // copyTextToClipboard() + }) + copyHTML.addEventListener('click', e => { + e.preventDefault(); + copyHtmlWithImagesToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy as html')) + // copyImagesToClipboard(output_card.outerHTML) + }) for (const node of outputData) { - console.log('output', node) + // console.log('output', node) if (node.class_type == "ShowTextForGPT") { let div = document.createElement('div'); div.className = "show_text" div.id = `output_${node.id}`; - div.innerText = node.inputs.text[0] - container.appendChild(div); + div.innerText = Array.isArray(node.inputs.text) ? node.inputs.text[0] : node.inputs.text + output_card.appendChild(div); }; if (["SaveImage", "PreviewImage"].includes(node.class_type)) { let img = new Image(); img.id = `output_${node.id}`; img.src = base64Df; - container.appendChild(img); + output_card.appendChild(img); } // video ,gif @@ -378,7 +431,7 @@ v.appendChild(video); v.appendChild(img); - container.appendChild(v); + output_card.appendChild(v); } } @@ -427,6 +480,134 @@ } } + + function copyHtmlWithImagesToClipboard(data, cb) { + // 创建一个临时div元素 + const tempDiv = document.createElement('div'); + + // 将HTML字符串赋值给div的innerHTML属性 + tempDiv.innerHTML = data; + + // 获取div中的所有图像元素 + const images = tempDiv.getElementsByTagName('img'); + + // 遍历图像元素，并将图像数据转换为Base64编码 + for (let i = 0; i < images.length; i++) { + const image = images[i]; + const canvas = document.createElement('canvas'); + const context = canvas.getContext('2d'); + + // 设置canvas尺寸与图像尺寸相同 + canvas.width = image.width; + canvas.height = image.height; + + // 在canvas上绘制图像 + context.drawImage(image, 0, 0); + + // 将canvas转换为Base64编码 + const imageData = canvas.toDataURL(); + + // 将Base64编码替换图像元素的src属性 + image.src = imageData; + } + + + let richText = tempDiv.innerHTML; + + // 创建一个新的Blob对象，并将富文本字符串作为数据传递进去 + const blob = new Blob([richText], { type: 'text/html' }); + + // 创建一个ClipboardItem对象，并将Blob对象添加到其中 + const clipboardItem = new ClipboardItem({ 'text/html': blob }); + + // 使用Clipboard API将内容复制到剪贴板 + navigator.clipboard.write([clipboardItem]) + .then(() => { + console.log('富文本已成功复制到剪贴板'); + tempDiv.remove() + if (cb) cb(true) + }) + .catch((error) => { + console.error('复制到剪贴板失败:', error); + tempDiv.remove() + if (cb) cb(false) + }); + + } + + // const htmlWithImages = "

这是要复制的HTML内容

" + // copyHtmlWithImagesToClipboard(htmlWithImages); + + function copyImagesToClipboard(html, cb) { + const tempDiv = document.createElement('div'); + tempDiv.innerHTML = html; + const images = tempDiv.querySelectorAll('img'); + const promises = Array.from(images).map((image) => { + return new Promise((resolve) => { + const img = new Image(); + img.src = image.src; + img.onload = () => { + const canvas = document.createElement('canvas'); + const context = canvas.getContext('2d'); + canvas.width = img.width; + canvas.height = img.height; + context.drawImage(img, 0, 0); + canvas.toBlob((blob) => { + const clipboardItem = new ClipboardItem({ 'image/png': blob }); + navigator.clipboard.write([clipboardItem]) + .then(() => { + resolve(); + tempDiv.remove() + if (cb) cb(true) + }) + .catch((error) => { + reject(error); + tempDiv.remove() + if (cb) cb(false) + }); + }); + }; + }); + }); + Promise.all([...promises]) + .then(() => { + console.log('所有图片已成功复制到剪贴板'); + if (cb) cb(true) + tempDiv.remove() + }) + .catch((error) => { + console.error('复制到剪贴板失败:', error); + if (cb) cb(false) + tempDiv.remove() + }); + } + + function copyTextToClipboard(html, cb) { + const tempDiv = document.createElement('div'); + tempDiv.innerHTML = html; + + const text = tempDiv.innerText; + const textData = new ClipboardItem({ 'text/plain': new Blob([text], { type: 'text/plain' }) }); + + navigator.clipboard.write([textData]) + .then(() => { + console.log('所有文本已成功复制到剪贴板', text); + if (cb) cb(true) + tempDiv.remove() + }) + .catch((error) => { + console.error('复制到剪贴板失败:', error); + if (cb) cb(false) + tempDiv.remove() + }); + } + + + // const htmlString = "

这是要复制的HTML内容

"; + // copyImagesToClipboard(htmlString); + + + function createInputs(inputData) { // Assuming you have an HTML element with the id "container" to hold the UI const container = document.createElement("div"); @@ -924,8 +1105,8 @@ // if (!images) return; const src = `${get_url()}/view?filename=${encodeURIComponent(images[0].filename)}&type=${images[0].type}&subfolder=${encodeURIComponent(images[0].subfolder)}&t=${+new Date()}`; show(src, detail.node, 'image'); - } else if (text && text[0]) { - ui.output.update("text", text[0], detail.node) + } else if (text) { + ui.output.update("text", Array.isArray(text) ? text[0] : text, detail.node) } else if (gifs && gifs[0]) { // if (!images) return; const src = `${get_url()}/view?filename=${encodeURIComponent(gifs[0].filename)}&type=${gifs[0].type}&subfolder=${encodeURIComponent(gifs[0].subfolder) @@ -1017,9 +1198,11 @@ } window._appData = window._apps[0]; - createAppList(window._apps); + + if (!filename) { createAppList(window._apps); } + createApp(window._appData); - + }; init_app() diff --git a/web/javascript/app_mixlab.js b/web/javascript/app_mixlab.js index 984b0d9..c5427d6 100644 --- a/web/javascript/app_mixlab.js +++ b/web/javascript/app_mixlab.js @@ -185,14 +185,14 @@ async function save (json, download = false) { // let http_workflow = app.graph.serialize() if (download) { - const { filename } = await save_app(data) + await save_app(data) await downloadJsonFile(data, data.app.filename) let open = window.confirm( - `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?type=new` + `You can now access the standalone application on a new page!\n${getUrl()}/mixlab/app?filename=${encodeURIComponent(data.app.filename)}` ) if (open) window.open( - `${getUrl()}/mixlab/app?filename=${encodeURIComponent(filename)}` + `${getUrl()}/mixlab/app?filename=${encodeURIComponent(data.app.filename)}` ) } else { await save_app(data) From b941b12f129b92f1b8559c9cd764e1db81d0cd05 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 17:40:28 +0800 Subject: [PATCH 05/12] update --- web/index.html | 18 +++++++++--------- web/javascript/app_mixlab.js | 2 +- workflow/appinfo-workflow.svg | 2 +- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/web/index.html b/web/index.html index 5566630..7303d24 100644 --- a/web/index.html +++ b/web/index.html @@ -363,13 +363,13 @@ copyHTML.innerText = 'copy as html' action.appendChild(copyHTML) - const copyImages = document.createElement('button'); - copyImages.innerText = 'copy images' - action.appendChild(copyImages) - copyImages.style.marginLeft = '18px'; + const copyImage = document.createElement('button'); + copyImage.innerText = 'copy image' + action.appendChild(copyImage) + copyImage.style.marginLeft = '18px'; const copyText = document.createElement('button'); - copyText.innerText = 'copy text' + copyText.innerText = 'copy text for share' action.appendChild(copyText) copyText.style.marginLeft = '18px'; @@ -386,19 +386,19 @@ copyText.addEventListener('click', e => { e.preventDefault(); - copyTextToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy text')) + copyTextToClipboard((window._appData.share_prefix||'')+" "+output_card.outerHTML, (r) => success(r, copyText, 'copy text for share')) }) - copyImages.addEventListener('click', e => { + copyImage.addEventListener('click', e => { e.preventDefault(); // copyHtmlWithImagesToClipboard(output_card.outerHTML) - copyImagesToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy images')) + copyImagesToClipboard(output_card.outerHTML, (r) => success(r, copyImage, 'copy image')) // copyTextToClipboard() }) copyHTML.addEventListener('click', e => { e.preventDefault(); - copyHtmlWithImagesToClipboard(output_card.outerHTML, (r) => success(r, copyText, 'copy as html')) + copyHtmlWithImagesToClipboard((window._appData.share_prefix||'')+" "+output_card.outerHTML, (r) => success(r, copyHTML, 'copy as html')) // 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S&R":"CLIPTextEncode"},"widgets_values":["hair,girl"]}],"links":[[1,2,0,1,0,"MODEL"],[2,4,0,1,1,"CONDITIONING"],[3,5,0,1,2,"CONDITIONING"],[5,2,1,4,0,"CLIP"],[6,2,1,5,0,"CLIP"],[7,1,0,6,0,"LATENT"],[8,2,2,6,1,"VAE"],[9,6,0,7,0,"IMAGE"],[12,11,0,12,0,"IMAGE"],[13,2,2,12,1,"VAE"],[14,12,0,1,3,"LATENT"],[16,14,0,1,4,"FLOAT"],[18,15,0,16,0,"IMAGE"],[25,7,0,15,0,"IMAGE"]],"groups":[],"config":{},"extra":{},"version":0.4} \ No newline at end of file From 9edae81fee7f7b035c7d7971e6a8ea8ce132fa80 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 17:48:59 +0800 Subject: [PATCH 06/12] update --- workflow/3D-workflow.json | 1276 +++++++++++++++++-------------------- 1 file changed, 592 insertions(+), 684 deletions(-) diff --git a/workflow/3D-workflow.json b/workflow/3D-workflow.json index 54ba842..00389a6 100644 --- a/workflow/3D-workflow.json +++ b/workflow/3D-workflow.json @@ -1,6 +1,6 @@ { - "last_node_id": 60, - "last_link_id": 118, + "last_node_id": 65, + "last_link_id": 143, "nodes": [ { "id": 9, @@ -52,7 +52,7 @@ "1": 246 }, "flags": {}, - "order": 31, + "order": 29, "mode": 0, "inputs": [ { @@ -77,7 +77,7 @@ "1": 26 }, "flags": {}, - "order": 20, + "order": 18, "mode": 0, "inputs": [ { @@ -168,8 +168,7 @@ "name": "VAE", "type": "VAE", "links": [ - 11, - 23 + 11 ], "slot_index": 2 } @@ -219,70 +218,6 @@ " a metallic sash-like shoe,render by ue5,and blender,8k,detailed" ] }, - { - "id": 2, - "type": "PreviewImage", - "pos": [ - 673.0796203613281, - 734.9191284179688 - ], - "size": { - "0": 210, - "1": 246 - }, - "flags": {}, - "order": 8, - "mode": 0, - "inputs": [ - { - "name": "images", - "type": "IMAGE", - "link": 76 - } - ], - "properties": { - "Node name for S&R": "PreviewImage" - } - }, - { - "id": 17, - "type": "VAEEncode", - "pos": [ - 673.0796203613281, - 1110.9191284179688 - ], - "size": { - "0": 210, - "1": 46 - }, - "flags": {}, - "order": 9, - "mode": 0, - "inputs": [ - { - "name": "pixels", - "type": "IMAGE", - "link": 77 - }, - { - "name": "vae", - "type": "VAE", - "link": 23 - } - ], - "outputs": [ - { - "name": "LATENT", - "type": "LATENT", - "links": [], - "shape": 3, - "slot_index": 0 - } - ], - "properties": { - "Node name for S&R": "VAEEncode" - } - }, { "id": 43, "type": "IPAdapterModelLoader", @@ -328,7 +263,7 @@ "flags": { "collapsed": false }, - "order": 35, + "order": 33, "mode": 0, "inputs": [ { @@ -368,13 +303,13 @@ "1": 106 }, "flags": {}, - "order": 15, + "order": 13, "mode": 0, "inputs": [ { "name": "width", "type": "INT", - "link": 26, + "link": 120, "widget": { "name": "width" }, @@ -383,7 +318,7 @@ { "name": "height", "type": "INT", - "link": 27, + "link": 121, "widget": { "name": "height" } @@ -420,7 +355,7 @@ "1": 26 }, "flags": {}, - "order": 26, + "order": 24, "mode": 0, "inputs": [ { @@ -454,7 +389,7 @@ "1": 58 }, "flags": {}, - "order": 21, + "order": 19, "mode": 0, "inputs": [ { @@ -494,18 +429,18 @@ "1": 130 }, "flags": {}, - "order": 17, + "order": 15, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", - "link": 82 + "link": 137 }, { "name": "width", "type": "INT", - "link": 46, + "link": 124, "widget": { "name": "width" } @@ -513,7 +448,7 @@ { "name": "height", "type": "INT", - "link": 47, + "link": 125, "widget": { "name": "height" } @@ -550,7 +485,7 @@ "1": 246 }, "flags": {}, - "order": 25, + "order": 23, "mode": 0, "inputs": [ { @@ -575,13 +510,13 @@ "1": 130 }, "flags": {}, - "order": 18, + "order": 16, "mode": 0, "inputs": [ { "name": "width", "type": "INT", - "link": 102, + "link": 126, "widget": { "name": "width" } @@ -589,7 +524,7 @@ { "name": "height", "type": "INT", - "link": 97, + "link": 127, "widget": { "name": "height" } @@ -615,199 +550,6 @@ 0 ] }, - { - "id": 50, - "type": "PreviewImage", - "pos": [ - 673.0796203613281, - 1698.9191284179688 - ], - "size": { - "0": 210, - "1": 246 - }, - "flags": {}, - "order": 12, - "mode": 0, - "inputs": [ - { - "name": "images", - "type": "IMAGE", - "link": 87 - } - ], - "properties": { - "Node name for S&R": 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"size": { + "0": 315, + "1": 106 + }, + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 134 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 40 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "CannyEdgePreprocessor" + }, + "widgets_values": [ + 126, + 200, + 512 + ] + }, + { + "id": 63, + "type": "3DImage", + "pos": [ + -707, + 963 + ], + "size": [ + 315, + 486 + ], + "flags": {}, "order": 5, "mode": 0, "inputs": [ @@ -1472,12 +1297,10 @@ "name": "IMAGE", "type": "IMAGE", "links": [ - 74, - 76, - 77, - 78, - 79, - 87 + 131, + 132, + 133, + 134 ], "shape": 3, "slot_index": 0 @@ -1486,8 +1309,8 @@ "name": "MASK", "type": "MASK", "links": [ - 75, - 80 + 135, + 136 ], "shape": 3, "slot_index": 1 @@ -1496,9 +1319,9 @@ "name": "BG_IMAGE", "type": "IMAGE", "links": [ - 82, - 83, - 108 + 137, + 138, + 139 ], "shape": 3, "slot_index": 2 @@ -1514,19 +1337,61 @@ "Node name for S&R": "3DImage" } }, + { + "id": 65, + "type": "MergeLayers", + "pos": [ + 1651, + 674 + ], + "size": { + "0": 210, + "1": 46 + }, + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "layers", + "type": "LAYER", + "link": 140 + }, + { + "name": "images", + "type": "IMAGE", + "link": 141 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 142, + 143 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "MergeLayers" + } + }, { "id": 15, "type": "PreviewImage", "pos": [ -456, - 1945 + 1756 ], "size": { "0": 439.2066345214844, "1": 539.8549194335938 }, "flags": {}, - "order": 36, + "order": 34, "mode": 0, "inputs": [ { @@ -1538,6 +1403,73 @@ "properties": { "Node name for S&R": "PreviewImage" } + }, + { + "id": 42, + "type": "IPAdapterApply", + "pos": [ + 658, + 2189 + ], + "size": { + "0": 315, + "1": 258 + }, + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "ipadapter", + "type": "IPADAPTER", + "link": 67, + "slot_index": 0 + }, + { + "name": "clip_vision", + "type": "CLIP_VISION", + "link": 68, + "slot_index": 1 + }, + { + "name": "image", + "type": "IMAGE", + "link": 139, + "slot_index": 2 + }, + { + "name": "model", + "type": "MODEL", + "link": 70 + }, + { + "name": "attn_mask", + "type": "MASK", + "link": null + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 71 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "IPAdapterApply" + }, + "widgets_values": [ + 0.9, + 0, + "linear", + 0, + 0.886, + false + ] } ], "links": [ @@ -1605,14 +1537,6 @@ 1, "CONTROL_NET" ], - [ - 23, - 6, - 2, - 17, - 1, - "VAE" - ], [ 25, 19, @@ -1621,54 +1545,6 @@ 3, "LATENT" ], - [ - 26, - 18, - 0, - 19, - 0, - "INT" - ], - [ - 27, - 18, - 1, - 19, - 1, - "INT" - ], - [ - 30, - 18, - 0, - 22, - 3, - "INT" - ], - [ - 31, - 18, - 1, - 22, - 4, - "INT" - ], - [ - 34, - 20, - 0, - 14, - 0, - "IMAGE" - ], - [ - 36, - 20, - 0, - 24, - 0, - "IMAGE" - ], [ 40, 26, @@ -1685,22 +1561,6 @@ 0, "CONDITIONING" ], - [ - 46, - 18, - 0, - 29, - 1, - "INT" - ], - [ - 47, - 18, - 1, - 29, - 2, - "INT" - ], [ 50, 32, @@ -1789,78 +1649,6 @@ 0, "MODEL" ], - [ - 74, - 45, - 0, - 22, - 0, - "IMAGE" - ], - [ - 75, - 45, - 1, - 22, - 1, - "MASK" - ], - [ - 76, - 45, - 0, - 2, - 0, - "IMAGE" - ], - [ - 77, - 45, - 0, - 17, - 0, - "IMAGE" - ], - [ - 78, - 45, - 0, - 18, - 0, - "IMAGE" - ], - [ - 79, - 45, - 0, - 26, - 0, - "IMAGE" - ], - [ - 80, - 45, - 1, - 25, - 0, - "MASK" - ], - [ - 82, - 45, - 2, - 29, - 0, - "IMAGE" - ], - [ - 83, - 45, - 2, - 42, - 2, - "IMAGE" - ], [ 85, 10, @@ -1869,14 +1657,6 @@ 0, "IMAGE" ], - [ - 87, - 45, - 0, - 50, - 0, - "IMAGE" - ], [ 95, 53, @@ -1885,14 +1665,6 @@ 0, "IMAGE" ], - [ - 97, - 18, - 1, - 53, - 1, - "INT" - ], [ 99, 52, @@ -1901,46 +1673,6 @@ 0, "MASK" ], - [ - 102, - 18, - 0, - 53, - 0, - "INT" - ], - [ - 103, - 22, - 0, - 20, - 0, - "LAYER" - ], - [ - 106, - 18, - 0, - 56, - 1, - "INT" - ], - [ - 107, - 18, - 1, - 56, - 2, - "INT" - ], - [ - 108, - 45, - 2, - 56, - 0, - "IMAGE" - ], [ 109, 56, @@ -1949,14 +1681,6 @@ 0, "IMAGE" ], - [ - 110, - 56, - 0, - 20, - 1, - "IMAGE" - ], [ 115, 60, @@ -1988,6 +1712,190 @@ 27, 1, "CONTROL_NET" + ], + [ + 120, + 61, + 0, + 19, + 0, + "INT" + ], + [ + 121, + 61, + 1, + 19, + 1, + "INT" + ], + [ + 122, + 61, + 0, + 22, + 3, + "INT" + ], + [ + 123, + 61, + 1, + 22, + 4, + "INT" + ], + [ + 124, + 61, + 0, + 29, + 1, + "INT" + ], + [ + 125, + 61, + 1, + 29, + 2, + "INT" + ], + [ + 126, + 61, + 0, + 53, + 0, + "INT" + ], + [ + 127, + 61, + 1, + 53, + 1, + "INT" + ], + [ + 128, + 61, + 0, + 56, + 1, + "INT" + ], + [ + 129, + 61, + 1, + 56, + 2, + "INT" + ], + [ + 131, + 63, + 0, + 64, + 0, + "IMAGE" + ], + [ + 132, + 63, + 0, + 22, + 0, + "IMAGE" + ], + [ + 133, + 63, + 0, + 61, + 0, + "IMAGE" + ], + [ + 134, + 63, + 0, + 26, + 0, + "IMAGE" + ], + [ + 135, + 63, + 1, + 22, + 1, + "MASK" + ], + [ + 136, + 63, + 1, + 25, + 0, + "MASK" + ], + [ + 137, + 63, + 2, + 29, + 0, + "IMAGE" + ], + [ + 138, + 63, + 2, + 56, + 0, + "IMAGE" + ], + [ + 139, + 63, + 2, + 42, + 2, + "IMAGE" + ], + [ + 140, + 22, + 0, + 65, + 0, + "LAYER" + ], + [ + 141, + 56, + 0, + 65, + 1, + "IMAGE" + ], + [ + 142, + 65, + 0, + 24, + 0, + "IMAGE" + ], + [ + 143, + 65, + 0, + 14, + 0, + "IMAGE" ] ], "groups": [], From a9ec3af06614a83360f944cf9eee7aacbccdb8db Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 18:07:43 +0800 Subject: [PATCH 07/12] =?UTF-8?q?=E6=94=B9=E8=BF=9Binput=20range?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- web/index.html | 35 +++++++++++++++++++++++++++-------- 1 file changed, 27 insertions(+), 8 deletions(-) diff --git a/web/index.html b/web/index.html index 7303d24..8199555 100644 --- a/web/index.html +++ b/web/index.html @@ -233,6 +233,17 @@ font-size: 12px; font-weight: 300; } + + label::after { + content: attr(data-content); + /* Set the initial content using the data-content attribute */ + /* position: absolute; */ + /* top: 100%; + left: 0; */ + margin-left: 4px; + font-size: 12px; + color: #555; + } @@ -386,7 +397,7 @@ copyText.addEventListener('click', e => { e.preventDefault(); - copyTextToClipboard((window._appData.share_prefix||'')+" "+output_card.outerHTML, (r) => success(r, copyText, 'copy text for share')) + copyTextToClipboard((window._appData.share_prefix || '') + " " + output_card.outerHTML, (r) => success(r, copyText, 'copy text for share')) }) @@ -398,7 +409,7 @@ }) copyHTML.addEventListener('click', e => { e.preventDefault(); - copyHtmlWithImagesToClipboard((window._appData.share_prefix||'')+" "+output_card.outerHTML, (r) => success(r, copyHTML, 'copy as html')) + copyHtmlWithImagesToClipboard((window._appData.share_prefix || '') + " " + output_card.outerHTML, (r) => success(r, copyHTML, 'copy as html')) // copyImagesToClipboard(output_card.outerHTML) }) @@ -715,9 +726,14 @@ if (['FloatSlider', 'IntNumber'].includes(data.class_type)) { // 滑块输入 - let silde = createFloatSlide(data.title, data.inputs.number, (v) => { - window._appData.data[data.id].inputs.number = v; - }) + let silde = createNumSlide(data.title, + data.inputs.number, + (v) => { + window._appData.data[data.id].inputs.number = v; + }, + 0, + data.class_type === 'IntNumber' ? 6000 : 1, + data.class_type === 'IntNumber' ? 'int' : 'float') container.appendChild(silde); } @@ -783,19 +799,20 @@ return container } - function createFloatSlide(labelText, value = 0, callback, minValue = 0, maxValue = 1) { + function createNumSlide(labelText, value = 0, callback, minValue = 0, maxValue = 1, type = 'float') { // 创建滑块输入元素 var slider = document.createElement("input"); slider.type = "range"; slider.min = minValue; slider.max = maxValue; - slider.step = 0.01 + slider.step = type == 'float' ? 0.01 : 1 slider.value = value; // 创建标签元素 var label = document.createElement("label"); label.innerHTML = labelText; + label.setAttribute('data-content',value); // 创建容器元素，并将滑块输入和标签添加到容器中 var container = document.createElement("div"); @@ -804,9 +821,11 @@ container.className = 'card' // 添加change事件监听器 - slider.addEventListener("change", function (event) { + slider.addEventListener("input", function (event) { var value = event.target.value; + value=type == 'float' ? value : Math.round(value) console.log("滑块输入的值为：" + value); + label.setAttribute('data-content',value); // 在这里可以执行其他操作，根据需要进行相应的处理 callback && callback(value) }); From 4afc8f6083d6e2bc44fdb7d3206d2e2dac941574 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 18:16:06 +0800 Subject: [PATCH 08/12] =?UTF-8?q?Support=20multiple=20web=20app=20switchin?= =?UTF-8?q?g.=20=20=E6=94=AF=E6=8C=81=E5=A4=9A=E4=B8=AAweb=20app=20?= =?UTF-8?q?=E5=88=87=E6=8D=A2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + web/index.html | 15 +- workflow/Text-to-Image-app.json | 717 ++++++++++++++++++++++++++++++++ 3 files changed, 726 insertions(+), 7 deletions(-) create mode 100644 workflow/Text-to-Image-app.json diff --git a/README.md b/README.md index b801fd1..ba70012 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,7 @@ v0.6.0 🚀🚗🚚🏃‍ Workflow-to-APP Example: - workflow ![APP info](./workflow/appinfo-workflow.svg) +![text-to-image](./workflow/Text-to-Image-app.json) APP-JSON: - [text-to-image](./example/text-to-image_1_Wed%20Dec%2027%202023.json) diff --git a/web/index.html b/web/index.html index 8199555..3e4ed9c 100644 --- a/web/index.html +++ b/web/index.html @@ -1019,12 +1019,12 @@ }; } - function createUploadJson() { + function createUploadJson(detail) { // 创建一个div元素 var div = document.createElement('div'); div.className = 'upload_btn card' - div.textContent = '点击上传JSON文件'; + div.textContent = '上传并运行你的JSON文件'; div.addEventListener('click', function () { document.getElementById('jsonFileInput').click(); }); @@ -1040,10 +1040,11 @@ reader.onload = function (e) { var contents = e.target.result; var jsonData = JSON.parse(contents); - // setTimeout(() => { - // div.remove(); - // input.remove(); - // }, 500); + + + Array.from(detail.querySelectorAll('.card'), c => c.classList.remove('selected')); + div.className = 'upload_btn card selected' + let { output, app } = jsonData; @@ -1201,7 +1202,7 @@ // console.log(div) }; - let uploadApp = createUploadJson(); + let uploadApp = createUploadJson(details); div.appendChild(uploadApp); document.body.appendChild(details); diff --git a/workflow/Text-to-Image-app.json b/workflow/Text-to-Image-app.json new file mode 100644 index 0000000..1bcdf95 --- /dev/null +++ b/workflow/Text-to-Image-app.json @@ -0,0 +1,717 @@ +{ + "last_node_id": 25, + "last_link_id": 32, + "nodes": [ + { + "id": 5, + "type": "CLIPTextEncode", + "pos": [ + 1029, + -2149 + ], + "size": { + "0": 425.27801513671875, + "1": 180.6060791015625 + }, + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 6 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 3 + ], + "slot_index": 0 + } + ], + "title": "负向prompt", + "properties": { + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "text, watermark" + ] + }, + { + "id": 6, + "type": "VAEDecode", + "pos": [ + 1867, + -2378 + ], + "size": { + "0": 210, + "1": 46 + }, + "flags": { + "collapsed": false + }, + "order": 10, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 7 + }, + { + "name": "vae", + "type": "VAE", + "link": 8 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 9 + ], + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "VAEDecode" + } + }, + { + "id": 15, + "type": "EnhanceImage", + "pos": [ + 2591, + -2531 + ], + "size": { + "0": 315, + "1": 58 + }, + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 25 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 18 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "EnhanceImage" + }, + "widgets_values": [ + 1.1 + ] + }, + { + "id": 21, + "type": "EmptyLatentImage", + "pos": [ + 998, + -2674 + ], + "size": [ + 315, + 106 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [ + { + "name": "width", + "type": "INT", + "link": 30, + "widget": { + "name": "width" + } + }, + { + "name": "height", + "type": "INT", + "link": 32, + "widget": { + "name": "height" + } + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 26 + ], + "shape": 3 + } + ], + "properties": { + "Node name for S&R": "EmptyLatentImage" + }, + "widgets_values": [ + 512, + 512, + 1 + ] + }, + { + "id": 24, + "type": "LimitNumber", + "pos": [ + 665, + -2958 + ], + "size": { + "0": 315, + "1": 82 + }, + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [ + { + "name": "number", + "type": "*", + "link": 29 + } + ], + "outputs": [ + { + "name": "number", + "type": "*", + "links": [ + 30 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "LimitNumber" + }, + "widgets_values": [ + 512, + 4089 + ] + }, + { + "id": 25, + "type": "LimitNumber", + "pos": [ + 648, + -2659 + ], + "size": { + "0": 315, + "1": 82 + }, + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [ + { + "name": "number", + "type": "*", + "link": 31 + } + ], + "outputs": [ + { + "name": "number", + "type": "*", + "links": [ + 32 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "LimitNumber" + }, + "widgets_values": [ + 512, + 4089 + ] + }, + { + "id": 22, + "type": "IntNumber", + "pos": [ + 302, + -2758 + ], + "size": { + "0": 315, + "1": 58 + }, + "flags": {}, + "order": 0, + "mode": 0, + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 29 + ], + "shape": 3, + "slot_index": 0 + } + ], + "title": "Width", + "properties": { + "Node name for S&R": "IntNumber" + }, + "widgets_values": [ + 512 + ] + }, + { + "id": 23, + "type": "IntNumber", + "pos": [ + 299, + -2601 + ], + "size": { + "0": 315, + "1": 58 + }, + "flags": {}, + "order": 1, + "mode": 0, + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 31 + ], + "shape": 3, + "slot_index": 0 + } + ], + "title": "Height", + "properties": { + "Node name for S&R": "IntNumber" + }, + "widgets_values": [ + 512 + ] + }, + { + "id": 2, + "type": "CheckpointLoaderSimple", + "pos": [ + 567, + -2422 + ], + "size": { + "0": 315, + "1": 98 + }, + "flags": {}, + "order": 2, + "mode": 0, + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 1 + ], + "slot_index": 0 + }, + { + "name": "CLIP", + "type": "CLIP", + "links": [ + 5, + 6 + ], + "slot_index": 1 + }, + { + "name": "VAE", + "type": "VAE", + "links": [ + 8 + ], + "slot_index": 2 + } + ], + "title": "Model", + "properties": { + "Node name for S&R": "CheckpointLoaderSimple" + }, + "widgets_values": [ + "deliberate_v2.safetensors" + ] + }, + { + "id": 1, + "type": "KSampler", + "pos": [ + 1509, + -2394 + ], + "size": { + "0": 315, + "1": 262 + }, + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 1 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 2 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 3 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 26, + "slot_index": 3 + }, + { + "name": "denoise", + "type": "FLOAT", + "link": 16, + "widget": { + "name": "denoise" + }, + "slot_index": 4 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 7 + ], + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 730250870715434, + "randomize", + 15, + 6.9, + "euler", + "karras", + 0.59 + ] + }, + { + "id": 14, + "type": "FloatSlider", + "pos": [ + 1007, + -2819 + ], + "size": { + "0": 315, + "1": 58 + }, + "flags": {}, + "order": 3, + "mode": 0, + "outputs": [ + { + "name": "FLOAT", + "type": "FLOAT", + "links": [ + 16 + ], + "shape": 3, + "slot_index": 0 + } + ], + "title": "denoise", + "properties": { + "Node name for S&R": "FloatSlider" + }, + "widgets_values": [ + 1 + ] + }, + { + "id": 16, + "type": "PreviewImage", + "pos": [ + 2949, + -2615 + ], + "size": { + "0": 210, + "1": 246 + }, + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 18 + } + ], + "properties": { + "Node name for S&R": "PreviewImage" + } + }, + { + "id": 4, + "type": "CLIPTextEncode", + "pos": [ + 1022, + -2375 + ], + "size": { + "0": 422.84503173828125, + "1": 164.31304931640625 + }, + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 5 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 2 + ], + "slot_index": 0 + } + ], + "title": "prompt", + "properties": { + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "superman,fat cat" + ] + }, + { + "id": 7, + "type": "AppInfo", + "pos": [ + 2134, + -2528 + ], + "size": { + "0": 408.4201965332031, + "1": 406.9195861816406 + }, + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [ + { + "name": "image", + "type": "IMAGE", + "link": 9 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 25 + ], + "shape": 3, + "slot_index": 0 + } + ], + "properties": { + "Node name for S&R": "AppInfo" + }, + "widgets_values": [ + "Text-to-Image", + "4\n22\n23\n2\n\n\n", + "16", + "演示基本的文生图流程", + 1, + "#comfyui-mixlab-nodes# ", + null + ] + } + ], + "links": [ + [ + 1, + 2, + 0, + 1, + 0, + "MODEL" + ], + [ + 2, + 4, + 0, + 1, + 1, + "CONDITIONING" + ], + [ + 3, + 5, + 0, + 1, + 2, + "CONDITIONING" + ], + [ + 5, + 2, + 1, + 4, + 0, + "CLIP" + ], + [ + 6, + 2, + 1, + 5, + 0, + "CLIP" + ], + [ + 7, + 1, + 0, + 6, + 0, + "LATENT" + ], + [ + 8, + 2, + 2, + 6, + 1, + "VAE" + ], + [ + 9, + 6, + 0, + 7, + 0, + "IMAGE" + ], + [ + 16, + 14, + 0, + 1, + 4, + "FLOAT" + ], + [ + 18, + 15, + 0, + 16, + 0, + "IMAGE" + ], + [ + 25, + 7, + 0, + 15, + 0, + "IMAGE" + ], + [ + 26, + 21, + 0, + 1, + 3, + "LATENT" + ], + [ + 29, + 22, + 0, + 24, + 0, + "*" + ], + [ + 30, + 24, + 0, + 21, + 0, + "INT" + ], + [ + 31, + 23, + 0, + 25, + 0, + "*" + ], + [ + 32, + 25, + 0, + 21, + 1, + "INT" + ] + ], + "groups": [], + "config": {}, + "extra": {}, + "version": 0.4 +} \ No newline at end of file From 119d7cce1571b0e8f5cd290136e3a02383854095 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 18:19:18 +0800 Subject: [PATCH 09/12] 0.7.0 --- README.md | 11 ++++++++--- assets/0-m-app.png | Bin 0 -> 103623 bytes web/javascript/checkVersion_mixlab.js | 2 +- 3 files changed, 9 insertions(+), 4 deletions(-) create mode 100644 assets/0-m-app.png diff --git a/README.md b/README.md index ba70012..213bfd9 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,25 @@ ## -v0.6.0 🚀🚗🚚🏃‍ Workflow-to-APP +v0.7.0 🚀🚗🚚🏃‍ Workflow-to-APP +- 支持多个web app 切换 - 新增AppInfo节点，可以通过简单的配置，把workflow转变为一个Web APP。 +- Support multiple web app switching. - Add the AppInfo node, which allows you to transform the workflow into a web app by simple configuration. +![](./assets/0-m-app.png) + ![](./assets/appinfo-readme.png) + Example: - workflow ![APP info](./workflow/appinfo-workflow.svg) -![text-to-image](./workflow/Text-to-Image-app.json) +[text-to-image](./workflow/Text-to-Image-app.json) APP-JSON: - [text-to-image](./example/text-to-image_1_Wed%20Dec%2027%202023.json) - [image-to-image](./example/image-to-image_1_Wed%20Dec%2027%202023.json) - text-to-text -> 暂时支持6种节点作为界面上的输入节点：Load Image、CLIPTextEncode、TextInput_、FloatSlider、CheckpointLoaderSimple、LoraLoader +> 暂时支持6种节点作为界面上的输入节点：Load Image、CLIPTextEncode、TextInput_、FloatSlider、IntNumber、CheckpointLoaderSimple、LoraLoader > 输出节点：PreviewImage 、SaveImage、ShowTextForGPT、VHS_VideoCombine diff --git a/assets/0-m-app.png b/assets/0-m-app.png new file mode 100644 index 0000000000000000000000000000000000000000..c36f856b99e2e8621b88b7681b595026424cea35 GIT binary patch literal 103623 zcmeFYXH-*P7bk2%ihvXaB`8gr(t9xk>Am+Z(m}fPrc@C^5P{H(^e(-FfD#}y2~9#Z z6e0A`Au!=z=6UARyWX{CKFyq!z)EiJId`AE_ixt|t*Nd+dKYl_#*G`KN{X`DH*VYx 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b/web/javascript/checkVersion_mixlab.js @@ -3,7 +3,7 @@ import { app } from '../../../scripts/app.js' const repoOwner = 'shadowcz007' // 替换为仓库的所有者 const repoName = 'comfyui-mixlab-nodes' // 替换为仓库的名称 -const version = 'v0.6.0' +const version = 'v0.7.0' fetch(`https://api.github.com/repos/${repoOwner}/${repoName}/releases/latest`) .then(response => response.json()) From 1c238f7697f14617fbf7699b0880b7c5246f9940 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 20:16:51 +0800 Subject: [PATCH 10/12] sharebutton --- web/index.html | 97 +++++++++++++++++++++++++++++++++++++------------- 1 file changed, 73 insertions(+), 24 deletions(-) diff --git a/web/index.html b/web/index.html index 3e4ed9c..a12b29a 100644 --- a/web/index.html +++ b/web/index.html @@ -25,6 +25,7 @@ display: flex; } + .apps .card { width: 200px; margin: 12px; @@ -54,9 +55,10 @@ } .apps .card img { - width: 100px; - height: fit-content; - margin-right: 12px; + width: auto; + height: 100%; + + margin: 0px; } .apps .card .item { @@ -66,6 +68,17 @@ align-items: flex-start; } + .apps .card .icon { + width: 120px; + height: 120px; + overflow: hidden; + background: #e3e3e3; + display: flex; + justify-content: center; + align-items: center; + } + + .apps .card .version { font-size: 12px; @@ -98,17 +111,24 @@ display: flex; flex-direction: column; min-width: 400px; - background: #eee; + /* background: #eee; */ margin: 24px; flex: 1; align-items: center; /* justify-content: center; */ } + .panel .header { + margin-bottom: 8px; + display: flex; + justify-content: center; + align-items: center; + + } + .panel h1 { padding: 0 12px; - margin-top: 12px; - margin-bottom: 0; + margin: 0; } .panel img, @@ -132,8 +152,8 @@ .output_card { height: 100%; width: 100%; - box-shadow: 0px 0px 8px 3px #e6e7e7; - + box-shadow: 0px 0px 20px 7px #e6e7e7; + margin-top: 24px; display: flex; flex-wrap: wrap; /* justify-content: center; @@ -188,7 +208,7 @@ border: 3px solid; } - .run_btn:hover { + button:hover { border-color: yellow; color: yellow; } @@ -244,6 +264,17 @@ font-size: 12px; color: #555; } + + select, + button, + input { + height: 32px; + cursor: pointer; + background: #5c5c5c; + color: white; + outline: none; + border: none; + } @@ -332,6 +363,14 @@ }); } + + function success(isSuccess, btn, text) { + isSuccess ? btn.innerText = 'success' : text; + setTimeout(() => { + btn.innerText = text; + }, 5000) + } + async function get_my_app(filename = null) { let url = get_url() @@ -388,12 +427,7 @@ output_card.className = 'output_card' container.appendChild(output_card) - const success = (isSuccess, btn, text) => { - isSuccess ? btn.innerText = 'success' : text; - setTimeout(() => { - btn.innerText = text; - }, 5000) - } + copyText.addEventListener('click', e => { e.preventDefault(); @@ -812,7 +846,7 @@ // 创建标签元素 var label = document.createElement("label"); label.innerHTML = labelText; - label.setAttribute('data-content',value); + label.setAttribute('data-content', value); // 创建容器元素，并将滑块输入和标签添加到容器中 var container = document.createElement("div"); @@ -823,9 +857,9 @@ // 添加change事件监听器 slider.addEventListener("input", function (event) { var value = event.target.value; - value=type == 'float' ? value : Math.round(value) + value = type == 'float' ? value : Math.round(value) console.log("滑块输入的值为：" + value); - label.setAttribute('data-content',value); + label.setAttribute('data-content', value); // 在这里可以执行其他操作，根据需要进行相应的处理 callback && callback(value) }); @@ -896,9 +930,24 @@ // top: 12px;flex:0.6` // 创建标题 + let titleDiv = document.createElement('div'); + titleDiv.className = 'header' + var title = document.createElement('h1'); title.textContent = 'My Application'; + const shareBtn = document.createElement('button'); + shareBtn.innerText = 'share'; + shareBtn.addEventListener('click', e => { + e.preventDefault(); + let url = `${get_url}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`; + copyTextToClipboard(url,success(e,shareBtn,'share')); + }) + + titleDiv.appendChild(title); + titleDiv.appendChild(shareBtn); + + let iconDes = document.createElement('div'); // 创建应用图标 var icon = document.createElement('img'); @@ -928,7 +977,7 @@ submitButton.className = 'run_btn' // 将所有UI元素添加到页面中 - leftDiv.appendChild(title); + leftDiv.appendChild(titleDiv); leftDiv.appendChild(iconDes); // leftDiv.appendChild(des); leftDiv.appendChild(status); @@ -1040,8 +1089,8 @@ reader.onload = function (e) { var contents = e.target.result; var jsonData = JSON.parse(contents); - - + + Array.from(detail.querySelectorAll('.card'), c => c.classList.remove('selected')); div.className = 'upload_btn card selected' @@ -1160,7 +1209,7 @@ let details = document.createElement('details'); details.className = 'apps'; - details.innerHTML = `

APPs #${apps.length} + details.innerHTML = `ComfyUI APP Store / ${apps.length}
` let div = details.querySelector('div'); @@ -1172,10 +1221,10 @@ d.appendChild(dd); dd.className = 'card' + (index == 0 ? ' selected' : '') dd.innerHTML = ` -
+
-
+
${app.name}

${app.description}

From 727f5f2e48d1fc53cde2468b80b70eefdcf798f0 Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 20:37:09 +0800 Subject: [PATCH 11/12] upate --- __init__.py | 21 +++++++++++++++++++++ web/index.html | 32 +++++++++++++++----------------- 2 files changed, 36 insertions(+), 17 deletions(-) diff --git a/__init__.py b/__init__.py index 660495d..34b1f51 100644 --- a/__init__.py +++ b/__init__.py @@ -215,6 +215,27 @@ def get_my_workflow_for_app(filename="my_workflow_app.json"): }] except Exception as e: print("发生异常：", str(e)) + + if len(apps)==1: + data=read_workflow_json_files(app_path) + + for item in data: + x=item["data"] + if apps[0]['filename']!=item["filename"]: + apps.append({ + "filename":item["filename"], + "data":{ + "app":{ + "description":x['app']['description'], + "filename":(x['app']['filename'] if 'filename' in x['app'] else "") , + "icon":(x['app']['icon'] if 'icon' in x['app'] else None), + "name":x['app']['name'], + "version":x['app']['version'], + } + }, + "date":item["date"] + }) + return apps def save_workflow_json(data): diff --git a/web/index.html b/web/index.html index a12b29a..a7f613f 100644 --- a/web/index.html +++ b/web/index.html @@ -23,6 +23,7 @@ .apps .content { display: flex; + flex-wrap: wrap; } @@ -270,20 +271,22 @@ input { height: 32px; cursor: pointer; - background: #5c5c5c; + background: #000000bf; color: white; outline: none; border: none; + border-radius: 4px; } -
Explore your creative potential with Explore your creative potential with mixlab-nodes / 尽情发挥你的创意
ComfyUI中文爱好者社区推荐 @@ -684,6 +687,7 @@ // Create a label for the upload control const nameLabel = document.createElement("label"); nameLabel.textContent = data.title || "LoadImage: "; + nameLabel.style.marginBottom='12px' uploadContainer.appendChild(nameLabel); let actionDiv = document.createElement('div'); @@ -699,9 +703,7 @@ actionDiv.appendChild(uploadImageInputHide); const btnFromClipboard = document.createElement("button"); - btnFromClipboard.style = `width: 156px; - height: 24px; - margin-left: 18px;` + btnFromClipboard.style = `width: 156px; margin-left: 18px;` btnFromClipboard.innerText = 'paste from clipboard' actionDiv.appendChild(btnFromClipboard); @@ -937,11 +939,11 @@ title.textContent = 'My Application'; const shareBtn = document.createElement('button'); - shareBtn.innerText = 'share'; + shareBtn.innerText = 'copy url'; shareBtn.addEventListener('click', e => { e.preventDefault(); - let url = `${get_url}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`; - copyTextToClipboard(url,success(e,shareBtn,'share')); + let url = `${get_url()}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`; + copyTextToClipboard(url,success(e,shareBtn,'copy url')); }) titleDiv.appendChild(title); @@ -1260,15 +1262,11 @@ async function init_app() { const filename = getFilenameFromUrl(location.href); - if (filename) { - window._apps = await get_my_app(filename); - } else { - window._apps = await get_my_app(); - } + window._apps = await get_my_app(filename); window._appData = window._apps[0]; - if (!filename) { createAppList(window._apps); } + createAppList(window._apps); createApp(window._appData); From 5c9dd80370dde3950562eb98158f203699d5c4bb Mon Sep 17 00:00:00 2001 From: shadowcz007 Date: Sat, 30 Dec 2023 20:51:31 +0800 Subject: [PATCH 12/12] fixbug --- __init__.py | 1 + web/index.html | 33 ++++++++++++++++++--------------- 2 files changed, 19 insertions(+), 15 deletions(-) diff --git a/__init__.py b/__init__.py index 34b1f51..f53cc05 100644 --- a/__init__.py +++ b/__init__.py @@ -221,6 +221,7 @@ def get_my_workflow_for_app(filename="my_workflow_app.json"): for item in data: x=item["data"] + print(apps[0]['filename'] ,item["filename"]) if apps[0]['filename']!=item["filename"]: apps.append({ "filename":item["filename"], diff --git a/web/index.html b/web/index.html index a7f613f..05afdc8 100644 --- a/web/index.html +++ b/web/index.html @@ -687,7 +687,7 @@ // Create a label for the upload control const nameLabel = document.createElement("label"); nameLabel.textContent = data.title || "LoadImage: "; - nameLabel.style.marginBottom='12px' + nameLabel.style.marginBottom = '12px' uploadContainer.appendChild(nameLabel); let actionDiv = document.createElement('div'); @@ -914,7 +914,7 @@ - function createUI(inputData, outputData) { + function createUI(inputData, outputData, share = true) { let mainDiv = document.createElement('div'); let leftDiv = document.createElement('div'); @@ -937,17 +937,20 @@ var title = document.createElement('h1'); title.textContent = 'My Application'; - - const shareBtn = document.createElement('button'); - shareBtn.innerText = 'copy url'; - shareBtn.addEventListener('click', e => { - e.preventDefault(); - let url = `${get_url()}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`; - copyTextToClipboard(url,success(e,shareBtn,'copy url')); - }) - titleDiv.appendChild(title); - titleDiv.appendChild(shareBtn); + + if (share) { + const shareBtn = document.createElement('button'); + shareBtn.innerText = 'copy url'; + shareBtn.addEventListener('click', e => { + e.preventDefault(); + let url = `${get_url()}/mixlab/app?filename=${encodeURIComponent(window._appData.filename)}`; + copyTextToClipboard(url, success(e, shareBtn, 'copy url')); + }) + + titleDiv.appendChild(shareBtn); + } + let iconDes = document.createElement('div'); @@ -1104,7 +1107,7 @@ data: output }; if (document.body.querySelector('.app')) document.body.querySelector('.app').remove() - createApp(window._appData); + createApp(window._appData, false); // res(jsonData); }; @@ -1118,10 +1121,10 @@ } - async function createApp(appData) { + async function createApp(appData, share = true) { console.log(appData) // 使用示例： - var ui = createUI(appData.input, appData.output); + var ui = createUI(appData.input, appData.output, share); // 更新标题 ui.title.update(appData.name || 'Mixlab APP');