image-generation

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Generate images through the Hyper MCP with the unified `images_generate` tool — text-to-image, image-to-image, and branded ad creatives — choosing the model (gpt-image-2, nano-banana, nano-banana-pro, seedream-4.5) per task. Use when the user asks to generate an image, create an ad creative, do an image-to-image edit, render text inside an image, or produce a print-quality poster.

AI & Automation 67 stars 12 forks Updated 3 days ago MIT

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Skill Content

# Image Generation Generate images with the `images_generate` tool. It handles text-to-image, image-to-image (pass `reference_images`), and multi-image composition. By default (`model="auto"`) it picks the best model for the request; set `model` to choose one. ## Requirements This skill assumes the [Hyper MCP](https://app.hyperfx.ai/mcp) is connected to your agent so the `images_generate` tool is available. For brand-consistent ad creative work, Firecrawl must also be configured under your Hyper integrations. ## Call shape ```python images_generate( requests=[{"id": "ad1", "prompt": "A polished SaaS ad, clean composition"}], aspect_ratio="16:9", # "1:1" (default), "9:16", "16:9", "4:5", "2:3", "3:2", "3:4", "4:3", "21:9", ... quality="standard", # "draft" | "standard" | "high" n=1, # 1-4 images per request model="auto", # see "Choosing a model" below ) ``` - **Image-to-image / brand references:** put files in the request: `requests=[{"prompt": "Compose into a gift basket", "reference_images": ["file1", "file2"]}]`. - **Reproducible output:** pass `seed=...`. - **Ground in real-world search:** pass `use_search=True`. - Do not display image URLs — they render automatically in chat. ## Choosing a model `model="auto"` is the right default. Override only when the task clearly calls for a specific model: | Task | `model` | |------|---------| | First-pass concepts / quick ad ideation | `gpt-image-2` | | Image-to...

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Author
hyperfx-ai
Repository
hyperfx-ai/marketing-skills
Created
3 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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