Mit GPT-5 und Google Veo-3 aus Text-Prompts Videos generieren

• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich

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        "content": "Set API Key created in Step 2"
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        "content": "## Get and download your video"
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        "content": "### Start and Prompt Enhancing"
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        "content": "# Generate Video via VEO-3"
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        "prompt": "=You are a creative video prompt engineer.\n\nTurn the idea below into a short, visually rich description for Veo‑3 image‑to‑video.\nKeep it flexible and cinematic.\n\nGuidelines (use loosely):\n- mention camera movement / lens hints\n- time of day, mood, color palette\n- pacing / motion style\n- framing and composition\n\nKeep it to 2–4 sentences (under 120 words). If the input is just one word, expand it sensibly.\n\nIdea:\n{{ $('When chat message received').item.json.chatInput }}\n\nRespond with only the prompt text.",
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        "content": "## STEP 1: CHAT INPUT → MINIMAL PROMPT\n\nThis workflow starts from the **Chat Trigger**. You can send even **one word** (e.g., “sunset”, “cyberpunk”, “ocean”).\n\n**Expected fields** (flexible):\n- **chatInput** – your idea/keyword/short brief (required)\n- **image_url** – a source image for image‑to‑video (required for i2v)\n- **duration** – seconds (optional, default 5)\n- **aspect_ratio** – e.g. `16:9` (optional)\n\nThe chat message is expanded by **GPT‑5** into a Veo‑3‑friendly prompt."
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        "content": "## STEP 4: MAIN FLOW (END‑TO‑END)\n\n**How it runs**\n- Trigger via **Chat** (or attach a **Schedule Trigger** if you want batch runs).\n\n**Pipeline**\n1) Read chat input (idea/keyword)\n2) **GPT‑5** expands it into a concise cinematic prompt\n3) **Create Veo‑3 (image‑to‑video)** with image_url + prompt\n4) **Poll status** until `completed`\n5) On success → fetch **video_url** and (optionally) generate a short **title** with GPT‑5\n6) Return results to chat / continue with your own save or publish steps\n\nTweak polling interval based on your SLA and quota."
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        "content": "## STEP 2: AI/ML API CREDENTIALS\n\n1) Get your key: https://aimlapi.com/app/keys\n2) In n8n, create **AI/ML account** credentials (Bearer token)\n3) Use that credential in:\n   - **GPT‑5** node (text expansion)\n   - **Create Video** (Veo‑3 generation)\n   - **Get Status** (polling)\n\n**Headers** (handled by credentials):\n- Authorization: `Bearer YOUR_API_KEY`\n- Content‑Type: `application/json`\n\nKeep keys in Credentials/ENV — never hard‑code in nodes."
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        "content": "## STEP 3 (OPTIONAL): SAVE & PUBLISH\n\nAfter you obtain `video_url`, you can extend the flow with:\n\n- **Save to Google Drive**: HTTP → upload file from `video_url`\n- **Generate SEO Title**: GPT‑5 short title (≤60 chars)\n- **Publish to YouTube**: your preferred uploader or API wrapper\n- **Log to a Sheet/DB**: store `prompt`, `generation_id`, `video_url`, `title`\n\nThese are optional and not required for the core Veo‑3 image‑to‑video path."
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        "content": "**Veo‑3 Image‑to‑Video with GPT‑5 (Chat‑First)**\n\n**What this workflow does**\n- Accepts a minimal chat idea (even one word)\n- Uses **GPT‑5** to craft a Veo‑3‑ready prompt\n- Creates a **Google Veo‑3** image‑to‑video generation\n- Polls until completion and fetches the **final video URL**\n\n**Why it’s robust**\n- Soft prompt: expands short inputs sensibly\n- Fallbacks: if GPT output is empty, uses chat input\n- Safe polling: completed / failed split, adjustable wait\n\n**Where to extend**\n- Save to Drive, generate thumbnails, add subtitles, upload to YouTube, log analytics"
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