# Image Prompt > Write prompts for 14+ frontier AI image generators (Midjourney V8.1, Flux 2/Kontext, Nano Banana Pro/2, gpt-image-2, Ideogram 4/3, Recraft V3, Seedream 5, Qwen, HiDream, Krea, SDXL). Modes: T2I, edit, multi-ref, text-in-image. Use when: 'prompt for an image', 'Midjourney prompt', 'edit with Kontext', 'character consistency', 'poster with text'. - **Type:** Skill - **Install:** `agentstack add skill-mikefluff-skills-image-prompt` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [Mikefluff](https://agentstack.voostack.com/s/mikefluff) - **Installs:** 0 - **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [Mikefluff](https://github.com/Mikefluff) - **Source:** https://github.com/Mikefluff/skills/tree/main/skills/image-prompt - **Website:** https://www.npmjs.com/package/@mikefluff/skills ## Install ```sh agentstack add skill-mikefluff-skills-image-prompt ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About Generate a tight, model-aware prompt for AI image generation. Output: one well-formed prompt string (optionally + a negativePrompt, reference list, or edit instruction). This skill does NOT call the image model — it produces the text you paste into Midjourney / Flux / Imagen / Nano Banana / gpt-image-2 / Ideogram / Recraft / Seedream / Qwen-Image / HiDream / Krea / SD. Use when the user wants an image for a specific scene, post cover, product mock, portrait, hero illustration, abstract background, OR wants to edit an existing image with character preserved, OR wants a multi-reference composite (character + style + palette), OR wants legible text inside an image. The skill picks the right model + mode + vocabulary that produces sharp, coherent output instead of generic "AI image". This skill does NOT: - generate the image itself (that's the model) - design layouts or multi-frame compositions (use a design tool) - write video prompts (use `video-prompt`) ## ROLE Read the request → identify subject + intent (generate / edit / multi-ref / text-heavy) → pick target model from `references/model-picker.md` → assemble the prompt using the 6-part formula plus the conditional 7th block (references) → add lighting + camera + texture hints → return the prompt + optional negative or reference list. ## PIPELINE 1. **Clarify if needed.** If the user gave only a topic ("cover for a post about cold-emails"), pick a sensible default subject ("close-up of an empty mailbox at dawn") and check before committing. If they gave a full scene, skip. 2. **Mode select.** Pick one: - `t2i` — text-to-image (default). - `edit` — modify an existing image; preserve identity / lighting / pose, change one thing. - `multi-ref` — compose from multiple reference images (character + product + style). - `text-heavy` — legible text is the subject (poster, book cover, signage). 3. **Pick model.** Default by intent — see `references/model-picker.md`: - Editorial / fashion / "vibes" → Midjourney V8.1 - Photoreal portrait / product → Flux 2 Pro or Nano Banana Pro - Text-heavy → Ideogram 3 Quality or Nano Banana Pro - Edit → Flux Kontext or Nano Banana Pro or gpt-image-2 - Multi-ref composite → Seedream 5.0 (weighted roles, layered output) or Flux 2 Pro or gpt-image-2 - Self-host / open-weights → Flux 2 [dev], SD 3.5, Qwen-Image 2.0 (CJK), HiDream-O1 - Cheap iteration → Flux Schnell / Nano Banana 2 Lite / Ideogram 3 Turbo 4. **Build the prompt** — see `references/prompt-formula.md`: ``` {subject + action} + {setting} + {style} + {lighting} + {camera/lens} + {texture/realism} ``` When mode is `edit` or `multi-ref`, the 7th conditional block fires — see `references/editing-prompting.md`. 5. **Load model-specific syntax** from `references/models/.md` and apply (flags / NL phrasing / weighted refs / preserve-change grammar). 6. **Add negative prompt** if useful (mainly SDXL / Flux). Standard set: `text, watermark, logo, distorted anatomy, extra fingers, blurry, low resolution`. 7. **Output.** Return: - The prompt as one fence-block (paste-ready) - Optional negative as a second fence-block - For multi-ref: an annotated list of refs with roles + weights - 1-line note: which model + mode + key conventions applied - If `--variants N` requested — N alternatives with different style / lighting / camera 8. **(Optional) Execute via API.** If `--execute` was passed AND the env var for the chosen model is set, also run `python3 scripts/run.py --model --prompt-file `. This calls the vendor API and saves a real PNG to `./generated/image/`. On any failure, fall back to prompt-only and print the reason. See `references/execute.md`. ## MODES - `image-prompt ` — generate default prompt (intent-routed model) - `image-prompt --model ` — target a specific model. Valid: `midjourney-v8`, `flux-2-pro`, `flux-2-dev`, `flux-1-1-pro-ultra`, `flux-kontext`, `flux-schnell`, `flux-krea`, `nano-banana-pro`, `nano-banana-2`, `nano-banana-2-lite`, `gpt-image-2`, `ideogram-3`, `recraft-v3`, `seedream-5`, `qwen-image`, `hidream-o1`, `krea-1`, `sd-3-5`, `sdxl` - `image-prompt --style ` — force a style (`photorealistic`, `editorial`, `3d-render`, `illustration`, `product-shot`, `cinematic`, `minimalist`, `no-ai-look`) - `image-prompt --edit` — edit mode; expects a source image (URL or path). Generates preserve/change instruction. - `image-prompt --reference [@:]` — attach a reference. Repeatable. Roles: `character`, `style`, `palette`, `layout`. Weights 0-1. Triggers multi-ref mode. - `image-prompt --variants 3` — 3 alternatives with different style or lighting - `image-prompt --improve` — user provides a weak prompt + the bad output description; skill rewrites - `image-prompt --execute` — also call the API if the env var for `--model` is set; save PNG to `./generated/image/` - `image-prompt --execute --output ` — custom output dir - `image-prompt --execute --yes` — skip cost confirmation - `image-prompt --check --model ` — verify env + connectivity, no generation - `image-prompt --list-providers` — list executable providers given current env (image modality) ## REFERENCES (load on demand) | File | When to load | |---|---| | [references/model-picker.md](references/model-picker.md) | Always at step 3 — intent → model → which model-file to load | | [references/prompt-formula.md](references/prompt-formula.md) | When building any prompt — 6-part formula + per-part vocabularies | | [references/lighting-vocabulary.md](references/lighting-vocabulary.md) | When picking lighting hints — portrait / scene / quality-of-light dictionaries | | [references/camera-vocabulary.md](references/camera-vocabulary.md) | When the image should look photographic — lens/sensor/quality-tag dictionary | | [references/editing-prompting.md](references/editing-prompting.md) | Mode `edit` or `multi-ref` — preserve/change grammar, identity locks, weighted refs | | [references/text-in-image.md](references/text-in-image.md) | Mode `text-heavy` — per-model rules for legible text + multilingual | | [references/models/midjourney.md](references/models/midjourney.md) | Midjourney V8.1 (v7 legacy flags) — `--sref`, `--oref`, `--raw`, `--ar`, `--s`, `--c`, `--no`, `--p`, `--w` | | [references/models/flux.md](references/models/flux.md) | Flux 2 Pro/Dev, 1.1 Pro Ultra (Raw), Kontext, Schnell, Krea | | [references/models/google.md](references/models/google.md) | Nano Banana Pro / 2 / 2 Lite (Gemini image family) + the Imagen 4 shutdown | | [references/models/openai.md](references/models/openai.md) | gpt-image-2 (DALL-E 3 retirement note) | | [references/models/ideogram-recraft.md](references/models/ideogram-recraft.md) | Ideogram 3 Flash/Turbo/Default/Quality, Ideogram 4 (open weights, JSON prompting) + Recraft V3 (SVG) | | [references/models/bytedance-seedream.md](references/models/bytedance-seedream.md) | Seedream 5.0 Pro / Lite (weighted multi-ref, layered PNG output) | | [references/models/open-source.md](references/models/open-source.md) | SD 3.5 + SDXL legacy + Qwen-Image 2.0 + HiDream-O1 | | [references/execute.md](references/execute.md) | `--execute` mode — env var matrix, provider availability check, cost preview, troubleshooting, fall-back behaviour | ## EXAMPLES See [examples/before-after.md](examples/before-after.md) — calibration pairs covering portrait, product, scene, abstract, illustration, text-in-image (Ideogram 3), edit (Flux Kontext), multi-reference composite (Seedream 5.0), open-weights (Qwen-Image). ## CONSTRAINTS - **Don't name real people.** Use role descriptors ("a confident business person") not real names. - **Don't promise reliable text > 1 short phrase outside text-tier models.** Reliable text: Ideogram 3 Quality, Nano Banana Pro, Nano Banana 2, gpt-image-2, Qwen-Image. Avoid > 5 words in Midjourney / Flux 2 Pro (≈60%); avoid entirely in SD 3.5 / SDXL. For exact typography: render in a design tool, not the generator. - **For character consistency across multiple images** — use a model that supports identity locks: Midjourney V8.1 (`--oref`), Flux Kontext, Nano Banana Pro (up to 5 people), gpt-image-2 (16 refs), Seedream 5.0 (Character weight 1.0). - **Don't re-describe the ref's appearance in the prompt.** When `--reference` is attached as Character, the prompt should describe wardrobe / action / expression / environment — NOT face / hair / body. Re-describing overrides the ref and causes drift. - **Don't mix Midjourney `--` flags into NL-only models.** Nano Banana / gpt-image-2 / Flux NL prompts ignore (or break on) `--ar`, `--s`, `--style raw`, etc. Use API params or NL phrasing instead. - **SD 3.5 weight syntax `(word:1.3)` is a no-op.** Despite accepting the syntax, SD 3.5 ignores weights. Use keyword priority order. Weights DO work on SDXL / SD 1.5. - **One subject per prompt** unless explicitly multi-subject. The model can't render "a cat, a dog, a horse, and a fox" cleanly. - **Specific lighting beats abstract.** "Soft directional key light from upper left" > "good lighting". - **Don't bury the subject.** First 12-15 words anchor the model. - **Kontext deviation**: in edit mode with Flux Kontext / Nano Banana Pro / gpt-image-2, the prompt is JUST the change instruction — don't restate subject / setting / style from the source image. - **`--execute` is opt-in.** Default flow stays prompt-only. Only run the API when the user passes `--execute`. - **Never print API keys.** Not in output, not in errors, not in fall-back text. Mask if you must reference them ("set $OPENAI_API_KEY", not "key starts with sk-..."). - **Confirm cost.** Anything above $0.10 estimated must hit interactive Y/N (handled by `common/runners/cost.py`). Bypass only when user passes `--yes`. - **Output dir is `./generated/image/` by default.** Don't write outside it without explicit `--output`. - **API failure → fall back gracefully.** Save prompt to `./generated/image/-prompt-only.txt` with a one-line reason. Skill stays useful. ## INVOCATION HINTS When the user says any of: - "generate / write / make me a prompt for an image / cover / illustration / artwork" - "Midjourney / Flux / Imagen / Nano Banana / gpt-image-2 / Ideogram / Seedream / Recraft / Qwen-Image / SD prompt for..." - "edit this image", "change the dress color, keep the face", "preserve identity" - "character consistency across covers / chapters" - "multi-reference", "composite from these images" - "poster / book cover / signage with legible text" - "cover image / hero image / thumbnail / illustration prompt" - "product shot / portrait / scene prompt" - "improve this image prompt" - "execute the prompt", "actually generate", "fire the gen", "use my OpenAI / Flux / Imagen key" - "save the image", "render the asset" RU triggers (use the skill when the user writes any of): - «промпт для Midjourney / Flux / Imagen / Nano Banana / gpt-image-2 / Ideogram / Seedream / Recraft / Qwen / HiDream / SD» - «обложка для статьи / поста / лонгрида» - «отредактируй картинку», «поменяй цвет платья, оставь лицо», «сохрани идентичность» - «единый персонаж на всех обложках», «character consistency» - «постер с текстом», «обложка книги с подзаголовком» - «hero-картинка для лендинга» - «улучшить промпт для изображения» - «multi-reference композит», «комбинация рефов» - «выполни промпт», «сгенерируй через API», «вызови модель», «сделай реально» - «используй мой OpenAI / Imagen / Flux ключ», «сохрани картинку» The prompt itself is usually written in English (most models parse EN best). Only when the user explicitly asks for an RU-language prompt should the body be RU. RU terminology mapping for lighting + camera vocabulary lives in [`references/lighting-vocabulary.md`](references/lighting-vocabulary.md) (section `RU терминология`). For multilingual text rendering INSIDE the image (Chinese, Japanese, mixed scripts), use Qwen-Image 2.0 — see [`references/text-in-image.md`](references/text-in-image.md). Use this skill. For video — use `video-prompt` (different vocabulary, has temporal flow + camera movement, not single-frame lighting). ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [Mikefluff](https://github.com/Mikefluff) - **Source:** [Mikefluff/skills](https://github.com/Mikefluff/skills) - **License:** MIT - **Homepage:** https://www.npmjs.com/package/@mikefluff/skills Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-mikefluff-skills-image-prompt - Seller: https://agentstack.voostack.com/s/mikefluff - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. 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