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image-generation

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-2.5-flare, gpt-image-2.5-sunburst, 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.

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hyperfx-ai/marketing-skills
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13 de septiembre de 2026 a las 18:50
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SKILL.md
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name
image-generation
description
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-2.5-flare, gpt-image-2.5-sunburst, 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.
metadata
{"version":"1.0.0"}
requires_toolkits
["image_gen"]
icon
image_gen
short_description
Generate and edit images with one tool and a model choice, from ad creatives to product shots.
# 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. ### How to run the tools in this skill Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you: | Surface | Find a tool | Run it | | --- | --- | --- | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` | | Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` | If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect. ## 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", "5:4", "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 / everyday generation | `gpt-image-2.5-flare` | | Precise edits and branded compositions from reference images, production creative | `gpt-image-2.5-sunburst` | | Cheap iteration, image-to-image, the widest aspect ratios (adds 1:4, 1:8, 4:1, 8:1) | `nano-banana` | | Readable text inside the image (posters, labels, infographics) or search-grounded scenes | `nano-banana-pro` | | Product photography, material/fabric fidelity, accurate spatial depth | `seedream-4.5` | See [references/image-prompting.md](references/image-prompting.md) for per-model prompt-writing tips. ## Branded / website ad creatives — extract branding first If the user gives a website URL and wants on-brand creatives: 1. Call `firecrawl_branding_extract` with the URL → returns brand colors, fonts, personality/tone, and saved image files (logo, favicon, og_image). 2. Optionally `firecrawl_urls_scrape` with `formats=["screenshot"]` for visual context. 3. Write the prompt using the actual hex colors, font names, and tone, and pass the logo `file_id` in `reference_images`. The branding result's `file` field is a JSON data file, NOT an image — never pass it as a reference. Only `logo.file_id` and `images.*.file_id` are usable images. ## Higher-level workflows For multi-shot product or marketplace work, prefer the workflow tools — they preserve product identity and return structured results: - `images_product_photoshoots_create` — multi-shot product photography (studio, lifestyle, hero, carousel, ad pack). See [references/product-photoshoot.md](references/product-photoshoot.md). - `images_marketplace_cards_create` — marketplace listing image sets (Amazon main + secondary, A+ modules, Shopify). See [references/marketplace-cards.md](references/marketplace-cards.md). ## Reminders - Do NOT display image URLs to the user — they show automatically in chat. - Refine vague prompts unless the user wants verbatim generation. - Match `aspect_ratio` to intent (social, print, web). - Use `quality="high"` for production, `"draft"`/`"standard"` while iterating. - Generated `file_id`s can be reused as `reference_images` in later calls. - For website brand work, call `firecrawl_branding_extract` before generating.
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