fire/v-sekai.mediapipe-labeler - Generador de imágenes
Intermedio
Este es unContent Creation, AI Summarizationflujo de automatización del dominio deautomatización que contiene 15 nodos.Utiliza principalmente nodos como If, Set, Code, Wait, HttpRequest. Usar V-Sekai y Replicate para generar etiquetas de formas mixtas de MediaPipe a partir de imágenes
Requisitos previos
- •Pueden requerirse credenciales de autenticación para la API de destino
Nodos utilizados (15)
Categoría
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"meta": {
"instanceId": "e00f79fa-f64f-48e0-aae2-37081dd5270e",
"model_name": "v-sekai.mediapipe-labeler",
"model_type": "image",
"version_id": "f6cda62f5bdf02558ef9f9d23512a296db9927b2b93b6c57295f3e9d6ae696fa",
"model_owner": "fire",
"generated_at": "2025-08-01T14:50:46.345272"
},
"name": "fire/v-sekai.mediapipe-labeler - Image Generator",
"nodes": [
{
"id": "c978c865-1aa7-4ac6-8455-143ec1774522",
"name": "Activador manual",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-896,
-176
],
"parameters": {},
"typeVersion": 1
},
{
"id": "73d38bb8-80f8-411c-b658-f54147773094",
"name": "Establecer token API",
"type": "n8n-nodes-base.set",
"position": [
-608,
-80
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "api_token",
"name": "api_token",
"type": "string",
"value": "YOUR_REPLICATE_API_TOKEN"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "a1f0c0e2-249c-4546-9af3-dba177060dec",
"name": "Establecer parámetros de imagen",
"type": "n8n-nodes-base.set",
"position": [
-288,
-128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "api_token",
"name": "api_token",
"type": "string",
"value": "={{ $('Set API Token').item.json.api_token }}"
},
{
"id": "test_mode",
"name": "test_mode",
"type": "boolean",
"value": false
},
{
"id": "max_people",
"name": "max_people",
"type": "number",
"value": 100
},
{
"id": "media_path",
"name": "media_path",
"type": "string",
"value": "https://picsum.photos/512/512"
},
{
"id": "export_train",
"name": "export_train",
"type": "boolean",
"value": true
},
{
"id": "aligned_media",
"name": "aligned_media",
"type": "string",
"value": "https://picsum.photos/512/512"
},
{
"id": "frame_sample_rate",
"name": "frame_sample_rate",
"type": "number",
"value": 1
}
]
}
},
"typeVersion": 3.3
},
{
"id": "00a77e3f-63c1-4730-8544-6248e389defa",
"name": "Crear predicción de imagen",
"type": "n8n-nodes-base.httpRequest",
"position": [
-64,
-128
],
"parameters": {
"url": "https://api.replicate.com/v1/predictions",
"method": "POST",
"options": {
"response": {
"response": {
"neverError": true,
"responseFormat": "json"
}
}
},
"jsonBody": "={\n \"version\": \"fire/v-sekai.mediapipe-labeler:f6cda62f5bdf02558ef9f9d23512a296db9927b2b93b6c57295f3e9d6ae696fa\",\n \"input\": {\n \"test_mode\": {{ $json.test_mode }},\n \"max_people\": {{ $json.max_people }},\n \"media_path\": \"{{ $json.media_path }}\",\n \"export_train\": {{ $json.export_train }},\n \"aligned_media\": \"{{ $json.aligned_media }}\",\n \"frame_sample_rate\": {{ $json.frame_sample_rate }}\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $json.api_token }}"
},
{
"name": "Prefer",
"value": "wait"
}
]
}
},
"typeVersion": 4.1
},
{
"id": "7fc9899b-2ff1-46b8-a7a8-1b016d5ad5ee",
"name": "Esperar 5s",
"type": "n8n-nodes-base.wait",
"position": [
160,
-128
],
"webhookId": "d2c4ca16-0eb2-45b4-8a2d-eec2f99df89c",
"parameters": {
"unit": "seconds",
"amount": 5
},
"typeVersion": 1
},
{
"id": "54d067e2-633e-4ec2-a83f-fd5dbb47a011",
"name": "Verificar estado",
"type": "n8n-nodes-base.httpRequest",
"position": [
384,
-128
],
"parameters": {
"url": "=https://api.replicate.com/v1/predictions/{{ $('Create Image Prediction').item.json.id }}",
"options": {
"response": {
"response": {
"neverError": true,
"responseFormat": "json"
}
}
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $('Set API Token').item.json.api_token }}"
}
]
}
},
"typeVersion": 4.1
},
{
"id": "97dd6913-5352-4dbf-af7e-203f165eb52f",
"name": "¿Está completo?",
"type": "n8n-nodes-base.if",
"position": [
528,
-240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "c93d7ba1-0ef9-4087-aa10-389cb2a2c6bd",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "succeeded"
}
]
}
},
"typeVersion": 2
},
{
"id": "9a2dcfb9-a05a-49b7-8ac8-7f6526d195a0",
"name": "¿Ha fallado?",
"type": "n8n-nodes-base.if",
"position": [
848,
-80
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "d1bfd044-3a07-4c18-b55f-72d192596139",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "failed"
}
]
}
},
"typeVersion": 2
},
{
"id": "82f97696-0367-4cea-b0af-cfa930c35086",
"name": "Esperar 10s",
"type": "n8n-nodes-base.wait",
"position": [
720,
128
],
"webhookId": "51a05aef-e220-406d-8c2c-e59c82c3e26e",
"parameters": {
"unit": "seconds",
"amount": 10
},
"typeVersion": 1
},
{
"id": "1228b6aa-51af-4556-bc41-c2ca46065ae9",
"name": "Respuesta de éxito",
"type": "n8n-nodes-base.set",
"position": [
832,
-320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "success-response",
"name": "response",
"type": "object",
"value": "={{ { success: true, image_url: $json.output, prediction_id: $json.id, status: $json.status, message: 'Image generated successfully' } }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "6920eb95-f2a8-4ff7-80ec-cc7d13c1ebc6",
"name": "Respuesta de error",
"type": "n8n-nodes-base.set",
"position": [
1344,
144
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "error-response",
"name": "response",
"type": "object",
"value": "={{ { success: false, error: $json.error || 'Image generation failed', prediction_id: $json.id, status: $json.status, message: 'Failed to generate image' } }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "ee9329a3-b8ec-4848-8a99-a307c9889f02",
"name": "Mostrar resultado",
"type": "n8n-nodes-base.set",
"position": [
1552,
-144
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "final-result",
"name": "final_result",
"type": "object",
"value": "={{ $json.response }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "415c003f-5e20-4abb-8a29-638a3f98a337",
"name": "Registrar solicitud",
"type": "n8n-nodes-base.code",
"position": [
160,
-320
],
"parameters": {
"jsCode": "// Log generation details for monitoring\nconst data = $input.all()[0].json;\n\nconsole.log('fire/v-sekai.mediapipe-labeler Request:', {\n timestamp: new Date().toISOString(),\n prediction_id: data.id,\n model_type: 'image'\n});\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "07885145-e9e1-44d1-b5e5-367b98f89ab0",
"name": "Nota adhesiva9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1536,
-304
],
"parameters": {
"color": 4,
"width": 580,
"height": 320,
"content": "=======================================\n V-SEKAI.MEDIAPIPE-LABELER GENERATOR\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n======================================="
},
"typeVersion": 1
},
{
"id": "fb59c407-0e49-407f-9f91-71b614a0b870",
"name": "Nota adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1536,
48
],
"parameters": {
"color": 4,
"width": 589,
"height": 1958,
"content": "## 🤖 **FIRE/V-SEKAI.MEDIAPIPE-LABELER - IMAGE GENERATION WORKFLOW**\n\n**🔥 Powered by Replicate API and n8n Automation**\n\n---\n\n### 📝 **Model Overview**\n\n- **Owner**: fire\n- **Model**: v-sekai.mediapipe-labeler\n- **Type**: Image Generation\n- **API Endpoint**: https://api.replicate.com/v1/predictions\n\n**🎯 What This Model Does:**\nMediapipe Blendshape Labeler - Predicts the blend shapes of an image.\n\n---\n\n### 📋 **Parameter Reference**\n\n**🔴 Required Parameters:** media_path\n**🔵 Optional Parameters:** test_mode, max_people, export_train, aligned_media, frame_sample_rate\n\n**📖 Detailed Parameter Guide:**\n- **test_mode** (boolean): Enable test mode for quick verification (Default: False)\n- **max_people** (integer): Maximum number of people to detect (1-100) (Default: 100)\n- **media_path** (string): Input image, video, or training zip file\n- **export_train** (boolean): Export training zip containing json annotations and frame pngs (Default: True)\n- **aligned_media** (string): Optional video that is aligned with the input video's annotations\n- **frame_sample_rate** (integer): Process every nth frame for video input (Default: 1)\n\n---\n\n### 🔧 **Workflow Components Explained**\n\n**🎯 Manual Trigger**\n- Starts the workflow execution\n- Click to begin image generation process\n\n**🔐 Set API Token** \n- Configures your Replicate API authentication\n- Replace 'YOUR_REPLICATE_API_TOKEN' with your actual token\n- Essential for accessing the fire/v-sekai.mediapipe-labeler model\n\n**⚙️ Set Image Parameters**\n- Configures all input parameters for the model\n- Includes both required and optional parameters\n- Pre-filled with sensible defaults for testing\n\n**🚀 Create Image Prediction**\n- Sends the generation request to Replicate API\n- Uses the image parameters you configured\n- Returns a prediction ID for status tracking\n\n**⏳ Wait & Status Checking Loop**\n- Waits 5 seconds then checks prediction status\n- Continues checking until completion or failure\n- Implements intelligent retry logic with 10-second delays\n\n**✅ Success/Error Handling**\n- Routes successful completions to success response\n- Handles failures gracefully with error details\n- Returns structured JSON response with URLs/errors\n\n**📊 Logging & Monitoring**\n- Logs all requests for debugging and monitoring\n- Tracks timestamps and prediction IDs\n- Helps identify issues during development\n\n---\n\n### 🌟 **Key Benefits**\n\n- **🎨 Instant Image Generation**: Transform ideas into images using state-of-the-art AI\n- **🔄 Automated Workflow**: Handles the complete generation pipeline automatically\n- **🛡️ Error Resilience**: Built-in retry logic and comprehensive error handling\n- **📈 Production Ready**: Includes logging, monitoring, and structured responses\n- **🔧 Customizable**: Easy to modify parameters and extend functionality\n- **⚡ Efficient Processing**: Optimized API calls with intelligent status checking\n\n---\n\n### 🚀 **Quick Start Instructions**\n\n1. **🔑 Get Your API Key**\n - Sign up at https://replicate.com\n - Navigate to your account settings\n - Copy your API token\n\n2. **🔧 Configure the Workflow**\n - Replace 'YOUR_REPLICATE_API_TOKEN' with your actual token\n - Adjust parameters in the 'Set Image Parameters' node\n - Customize the prompt or other inputs as needed\n\n3. **▶️ Execute the Workflow**\n - Click the 'Manual Trigger' to start\n - Monitor the execution in the n8n interface\n - Check logs for detailed execution information\n\n4. **📥 Get Your Results**\n - Successful generations return a URL to your image\n - Download or use the generated content as needed\n - Results are available immediately upon completion\n\n---\n\n### 🔍 **Troubleshooting Guide**\n\n**Common Issues:**\n- **Invalid API Token**: Ensure your Replicate token is valid and has sufficient credits\n- **Parameter Validation**: Check that required parameters match expected types\n- **Generation Timeout**: Some images take longer - monitor the logs\n- **Output Format**: Verify the model returns the expected output format\n\n**Best Practices:**\n- Test with default parameters first\n- Monitor your Replicate usage and billing\n- Keep API tokens secure and never commit them to code\n- Use appropriate parameter values for your use case\n\n---\n\n**🔗 Additional Resources:**\n- Model Documentation: https://replicate.com/fire/v-sekai.mediapipe-labeler\n- Replicate API Docs: https://replicate.com/docs\n- n8n Documentation: https://docs.n8n.io\n\n---"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"versionId": "1",
"connections": {
"7fc9899b-2ff1-46b8-a7a8-1b016d5ad5ee": {
"main": [
[
{
"node": "54d067e2-633e-4ec2-a83f-fd5dbb47a011",
"type": "main",
"index": 0
}
]
]
},
"82f97696-0367-4cea-b0af-cfa930c35086": {
"main": [
[
{
"node": "54d067e2-633e-4ec2-a83f-fd5dbb47a011",
"type": "main",
"index": 0
}
]
]
},
"9a2dcfb9-a05a-49b7-8ac8-7f6526d195a0": {
"main": [
[
{
"node": "6920eb95-f2a8-4ff7-80ec-cc7d13c1ebc6",
"type": "main",
"index": 0
}
],
[
{
"node": "82f97696-0367-4cea-b0af-cfa930c35086",
"type": "main",
"index": 0
}
]
]
},
"415c003f-5e20-4abb-8a29-638a3f98a337": {
"main": [
[
{
"node": "7fc9899b-2ff1-46b8-a7a8-1b016d5ad5ee",
"type": "main",
"index": 0
}
]
]
},
"54d067e2-633e-4ec2-a83f-fd5dbb47a011": {
"main": [
[
{
"node": "97dd6913-5352-4dbf-af7e-203f165eb52f",
"type": "main",
"index": 0
}
]
]
},
"97dd6913-5352-4dbf-af7e-203f165eb52f": {
"main": [
[
{
"node": "1228b6aa-51af-4556-bc41-c2ca46065ae9",
"type": "main",
"index": 0
}
],
[
{
"node": "9a2dcfb9-a05a-49b7-8ac8-7f6526d195a0",
"type": "main",
"index": 0
}
]
]
},
"73d38bb8-80f8-411c-b658-f54147773094": {
"main": [
[
{
"node": "a1f0c0e2-249c-4546-9af3-dba177060dec",
"type": "main",
"index": 0
}
]
]
},
"6920eb95-f2a8-4ff7-80ec-cc7d13c1ebc6": {
"main": [
[
{
"node": "ee9329a3-b8ec-4848-8a99-a307c9889f02",
"type": "main",
"index": 0
}
]
]
},
"c978c865-1aa7-4ac6-8455-143ec1774522": {
"main": [
[
{
"node": "73d38bb8-80f8-411c-b658-f54147773094",
"type": "main",
"index": 0
}
]
]
},
"1228b6aa-51af-4556-bc41-c2ca46065ae9": {
"main": [
[
{
"node": "ee9329a3-b8ec-4848-8a99-a307c9889f02",
"type": "main",
"index": 0
}
]
]
},
"a1f0c0e2-249c-4546-9af3-dba177060dec": {
"main": [
[
{
"node": "00a77e3f-63c1-4730-8544-6248e389defa",
"type": "main",
"index": 0
}
]
]
},
"00a77e3f-63c1-4730-8544-6248e389defa": {
"main": [
[
{
"node": "415c003f-5e20-4abb-8a29-638a3f98a337",
"type": "main",
"index": 0
}
]
]
}
}
}Preguntas frecuentes
¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio - Creación de contenido, Resumen de IA
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
Flujos de trabajo relacionados recomendados
Generador de etiquetas de Fire V Sekai.mediapipe
Analizar imágenes con el etiquetador Blendshape de Mediapipe a través de la API de Replicate
If
Set
Code
+
If
Set
Code
9 NodosYaron Been
Creación de contenido
ByteDance/Seedream-3 - Generador de imágenes
ByteDance Seedream 3: plantilla de conversión de texto a imagen
If
Set
Code
+
If
Set
Code
15 NodosYaron Been
Creación de contenido
Generador de texto Dessix Moss Ttsd
Convertir guiones de diálogo en voz natural con Replicate Moss-TTSD
If
Set
Code
+
If
Set
Code
9 NodosYaron Been
Creación de contenido
ibm-granite/granite-speech-3.3-8b - Generador de texto
Convertir voz a texto utilizando el modelo IBM Granite 3.3 8B a través de la API de Replicate
If
Set
Code
+
If
Set
Code
15 NodosYaron Been
Creación de contenido
moicarmonas/2ndmoises_generator - Otros generadores
Crear imágenes a partir de indicaciones de texto utilizando el generador 2nd Moises y Replicate
If
Set
Code
+
If
Set
Code
15 NodosYaron Been
Creación de contenido
moicarmonas/3rdmoises_generator_oldversion - Otros generadores
Crear imágenes a partir de indicaciones de texto utilizando el generador 3rd Moises y Replicate
If
Set
Code
+
If
Set
Code
15 NodosYaron Been
Creación de contenido
Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos15
Categoría2
Tipos de nodos7
Descripción de la dificultad
Autor
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos
Enlaces externos
Ver en n8n.io →
Compartir este flujo de trabajo