Convertisseur de prompt + Veo3
Ceci est unContent Creation, Multimodal AIworkflow d'automatisation du domainecontenant 6 nœuds.Utilise principalement des nœuds comme ChainLlm, ChatTrigger, GoogleGemini, LmChatOpenRouter, LmChatAzureOpenAi. Utiliser GPT et Gemini pour convertir le langage naturel en invites JSON vidéo pour Veo 3
- •Clé API OpenAI
Nœuds utilisés (6)
Catégorie
{
"id": "WCgbgxpfV91txCUx",
"meta": {
"instanceId": "c2650793f644091dc80fb900fe63448ad1f4b774008de9608064d67294f8307c",
"templateCredsSetupCompleted": true
},
"name": "Prompt converter + Veo3",
"tags": [],
"nodes": [
{
"id": "f3ab3272-fe32-4691-bbf2-cfe654b2f7d5",
"name": "Générer une vidéo",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
624,
0
],
"parameters": {
"prompt": "={{ JSON.stringify($json.output) }}",
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/veo-2.0-generate-001",
"cachedResultName": "models/veo-2.0-generate-001"
},
"options": {
"aspectRatio": "16:9",
"sampleCount": 1
},
"resource": "video"
},
"credentials": {
"googlePalmApi": {
"id": "7ZkDDnjsiPRXf6eh",
"name": "project gcp: n8n-khmuhtadin"
}
},
"typeVersion": 1
},
{
"id": "b3227853-e2ba-424b-99b8-b93221f725bb",
"name": "Analyseur Json",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
416,
176
],
"parameters": {
"jsonSchemaExample": "{\n \"prompt\": \"detailed scene description\",\n \"negative_prompt\": \"elements to avoid\",\n \"aspect_ratio\": \"width:height ratio\",\n \"camera_movement\": \"camera motion type\",\n \"style\": \"visual style/genre\",\n \"quality\": \"output quality setting\",\n \"motion_intensity\": \"low/medium/high\",\n \"seed\": \"random seed for reproducibility\",\n \"fps\": \"frames per second\",\n \"resolution\": \"video resolution\",\n \"lighting\": \"lighting conditions\",\n \"mood\": \"overall mood/atmosphere\",\n \"color_palette\": \"dominant colors\",\n \"subject_focus\": \"main subject details\",\n \"background\": \"background description\",\n \"effects\": \"special effects to include\"\n}"
},
"typeVersion": 1.3
},
{
"id": "c0d14df0-b1eb-4cc3-bd97-be5fffbb4f62",
"name": "Openai",
"type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
"position": [
256,
176
],
"parameters": {
"model": "gpt",
"options": {}
},
"credentials": {
"azureOpenAiApi": {
"id": "IJKdD72VLSmWGj9g",
"name": "GPT-4.1"
}
},
"typeVersion": 1
},
{
"id": "f5acc743-42d0-4cfa-b202-7d836c57a881",
"name": "Entrée de prompt",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
0,
0
],
"webhookId": "a1610267-dc93-4a62-9cf3-d26af6073824",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "4cafc8f1-7936-4138-a49c-593ebf47e6f5",
"name": "Convertisseur de prompt",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
224,
0
],
"parameters": {
"batching": {},
"messages": {
"messageValues": [
{
"message": "=# Veo 3 Video Generation JSON Converter System Prompt\n\nYou are a specialized AI assistant that converts natural language descriptions into structured JSON format optimized for Veo 3 video generation. Your primary function is to transform user input into a comprehensive JSON prompt that maximizes the quality and accuracy of generated videos.\n\n## Core Instructions\n\n1. **Always respond in valid JSON format only**\n2. **Never include explanatory text outside the JSON structure**\n3. **Extract and structure all relevant video generation parameters from user input**\n4. **Fill in reasonable defaults for missing parameters**\n5. **Ensure all JSON keys and values follow Veo 3 specifications**\n\n## JSON Structure Template\n\n```json\n{\n \"prompt\": \"detailed scene description\",\n \"negative_prompt\": \"elements to avoid\",\n \"aspect_ratio\": \"width:height ratio\",\n \"camera_movement\": \"camera motion type\",\n \"style\": \"visual style/genre\",\n \"quality\": \"output quality setting\",\n \"motion_intensity\": \"low/medium/high\",\n \"seed\": \"random seed for reproducibility\",\n \"fps\": \"frames per second\",\n \"resolution\": \"video resolution\",\n \"lighting\": \"lighting conditions\",\n \"mood\": \"overall mood/atmosphere\",\n \"color_palette\": \"dominant colors\",\n \"subject_focus\": \"main subject details\",\n \"background\": \"background description\",\n \"effects\": \"special effects to include\"\n}\n```\n\n## Parameter Guidelines\n\n### Prompt Construction\n- Create detailed, cinematic descriptions\n- Include specific visual elements, actions, and compositions\n- Use descriptive adjectives for style and mood\n- Specify camera angles and movements when relevant\n- Include temporal elements (time of day, season, etc.)\n\n### Default Values\n- **duration**: \"5\" (seconds)\n- **aspect_ratio**: \"16:9\"\n- **quality**: \"high\"\n- **fps**: \"24\"\n- **resolution**: \"1080p\"\n- **motion_intensity**: \"medium\"\n\n### Camera Movements\n- static, pan_left, pan_right, tilt_up, tilt_down, zoom_in, zoom_out, dolly_forward, dolly_backward, orbit, handheld, smooth_tracking\n\n### Style Options\n- cinematic, documentary, animation, vintage, modern, artistic, realistic, stylized, noir, vibrant, minimalist\n\n### Aspect Ratios\n- 16:9 (landscape), 9:16 (portrait), 1:1 (square), 21:9 (ultra-wide), 4:3 (classic)\n\n## Processing Rules\n\n1. **Analyze Input**: Extract key elements like subjects, actions, settings, mood, style preferences\n2. **Enhance Description**: Expand brief descriptions into detailed, cinematic prompts\n3. **Set Parameters**: Choose appropriate technical settings based on content type\n4. **Optimize for Veo 3**: Structure prompt for maximum model comprehension\n5. **Include Negatives**: Add relevant negative prompts to avoid unwanted elements\n\n## Example Transformations\n\n**User Input**: \"A cat playing in the garden\"\n**Output**:\n```json\n{\n \"prompt\": \"A playful orange tabby cat chasing a butterfly in a sunlit garden, lush green grass, colorful flowers blooming, warm golden hour lighting, shallow depth of field, natural movement\",\n \"negative_prompt\": \"blurry, low quality, distorted, unnatural movement\",\n \"aspect_ratio\": \"16:9\",\n \"camera_movement\": \"smooth_tracking\",\n \"style\": \"cinematic\",\n \"quality\": \"high\",\n \"motion_intensity\": \"medium\",\n \"fps\": \"24\",\n \"resolution\": \"1080p\",\n \"lighting\": \"golden_hour\",\n \"mood\": \"cheerful\",\n \"color_palette\": \"warm_natural_tones\"\n}\n```\n\n## Important Notes\n\n- Always output valid JSON only\n- Never explain your reasoning outside the JSON\n- If input is unclear, make reasonable assumptions\n- Prioritize visual storytelling in prompt construction\n- Consider technical limitations of video generation\n- Optimize for realistic and achievable results\n\n## Quality Checklist\n\nBefore outputting JSON, ensure:\n- [ ] Prompt is detailed and descriptive\n- [ ] All technical parameters are appropriate\n- [ ] Negative prompt prevents common issues\n- [ ] JSON syntax is valid\n- [ ] All required fields are present\n- [ ] Values match expected formats"
}
]
},
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "ef3a1e96-5bf0-4190-b42a-762fb954ecb2",
"name": "Alternative",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
128,
176
],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "DPrHlBN0s5WFDxi9",
"name": "OpenRouter account"
}
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ebc10653-9e6e-4b46-b62c-c3d0360997b1",
"connections": {
"c0d14df0-b1eb-4cc3-bd97-be5fffbb4f62": {
"ai_languageModel": [
[
{
"node": "4cafc8f1-7936-4138-a49c-593ebf47e6f5",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"b3227853-e2ba-424b-99b8-b93221f725bb": {
"ai_outputParser": [
[
{
"node": "4cafc8f1-7936-4138-a49c-593ebf47e6f5",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"f5acc743-42d0-4cfa-b202-7d836c57a881": {
"main": [
[
{
"node": "4cafc8f1-7936-4138-a49c-593ebf47e6f5",
"type": "main",
"index": 0
}
]
]
},
"4cafc8f1-7936-4138-a49c-593ebf47e6f5": {
"main": [
[
{
"node": "f3ab3272-fe32-4691-bbf2-cfe654b2f7d5",
"type": "main",
"index": 0
}
]
]
}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Création de contenu, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
Workflows recommandés
Khairul Muhtadin
@khmuhtadinPartager ce workflow