Image Generation with Gemini, OpenAI, xAI, and OpenRouter

Generate and edit images using Google Gemini, OpenAI GPT Image 2, xAI Grok Image, and OpenRouter APIs via shell scripts.

Available Providers

Google Gemini

• Model: gemini-3-pro-image (default, "Nano Banana Pro"). Alt: gemini-3.1-flash-image (Flash, 14 ratios), gemini-3.1-flash-lite-image (cheapest). The -preview IDs are past their shutdown date.
• Strengths: Premium quality, up to 4K output, thinking mode, Google Search grounding, multi-turn editing with up to 14 reference images
• Aspect ratios: 10 on Pro (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 5:4, 21:9); Flash adds 4 extreme ratios (1:4, 4:1, 1:8, 8:1)
• Resolution: --image-size takes 1K, 2K, 4K on both Pro and Flash; Flash additionally supports 512 (UPPERCASE required)
• Env var: GEMINIAPIKEY

OpenAI GPT Image 2

• Model: gpt-image-2 (default, snapshot gpt-image-2-2026-04-21); gpt-image-1.5 available as previous flagship via --model
• Strengths: Superior text rendering, transparent backgrounds, up to 16 input images for editing, quality tiers
• Sizes: 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait)
• Quality: low (fast/cheap), medium, high (best fidelity)
• Env var: OPENAIAPIKEY

xAI Grok Image

• Model: grok-imagine-image-2.0 (default, flagship since 2026-08-07), grok-imagine-image-quality (May 2026 quality mode; grok-imagine-image-pro redirects here), grok-imagine-image (standard, 300 RPM)
• Strengths: Prompt revision by chat model, flat per-image pricing, diverse style range, many aspect ratios
• Aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 2:1, 1:2, 19.5:9, 9:19.5, 20:9, 9:20, 21:9, 5:2, auto
• Resolution: --resolution takes 1k, 2k (LOWERCASE required, opposite of Gemini)
• Quality: --quality takes low, medium, auto on grok-imagine-image-2.0; unset means auto (low for generation, medium for edits), billed as served
• Editing: Dedicated /v1/images/edits endpoint; up to 5 input images passed as data URIs in an images array
• Env var: XAIAPIKEY or GROKAPIKEY

OpenRouter (gateway)

• Model: any OpenRouter model slug that supports image output; default google/gemini-3.1-flash-image. Others: google/gemini-3-pro-image, x-ai/grok-imagine-image-2.0, openai/gpt-image-2, and more at openrouter.ai/models
• Strengths: One key reaches many providers' image models; useful for access, fallback, and comparison without separate accounts
• API shape: Uses the chat-completions endpoint (/api/v1/chat/completions) with modalities: ["image","text"], not a dedicated images endpoint. Images come back as base64 data URLs in message.images[]
• Editing: Input images are attached as image_url content parts (base64 data URLs) in the user message
• Controls: Aspect ratio, resolution, and quality are prompt-driven and model-dependent — describe them in the prompt rather than via flags
• Env var: OPENROUTERAPIKEY (optional OPENROUTERSITEURL / OPENROUTERSITENAME for attribution)

Usage

Text-to-Image Generation

Use the scripts at ${CLAUDEPLUGINROOT}/scripts/:

# Gemini
bash "${CLAUDE_PLUGIN_ROOT}/scripts/gemini.sh" \
  --mode generate \
  --prompt "a serene mountain landscape at sunset" \
  --output ./generated.png

# OpenAI
bash "${CLAUDE_PLUGIN_ROOT}/scripts/openai.sh" \
  --mode generate \
  --prompt "a serene mountain landscape at sunset" \
  --output ./generated.png

# xAI
bash "${CLAUDE_PLUGIN_ROOT}/scripts/xai.sh" \
  --mode generate \
  --prompt "a serene mountain landscape at sunset" \
  --output ./generated.png

# OpenRouter (any image model via --model; default google/gemini-3.1-flash-image)
bash "${CLAUDE_PLUGIN_ROOT}/scripts/openrouter.sh" \
  --mode generate \
  --prompt "a serene mountain landscape at sunset" \
  --output ./generated.png

Image Editing

# Gemini
bash "${CLAUDE_PLUGIN_ROOT}/scripts/gemini.sh" \
  --mode edit \
  --prompt "change the sky to a starry night" \
  --input-image ./original.png \
  --output ./edited.png

# OpenAI
bash "${CLAUDE_PLUGIN_ROOT}/scripts/openai.sh" \
  --mode edit \
  --prompt "change the sky to a starry night" \
  --input-image ./original.png \
  --output ./edited.png

# xAI
bash "${CLAUDE_PLUGIN_ROOT}/scripts/xai.sh" \
  --mode edit \
  --prompt "change the sky to a starry night" \
  --input-image ./original.png \
  --output ./edited.png

# OpenRouter
bash "${CLAUDE_PLUGIN_ROOT}/scripts/openrouter.sh" \
  --mode edit \
  --prompt "change the sky to a starry night" \
  --input-image ./original.png \
  --output ./edited.png

Parallel Generation

Use scripts/run-all.sh — a single Bash call that forks all providers in parallel into one shared streaming pane. The watcher renders per-provider colored banners (gemini blue / openai gray / xai red / openrouter indigo) with model + timing, plus a bottom waiting on line naming the pending providers. It animates until the first image renders; after that it is written once under each new block and never rewritten, so the inline images accumulate (a repeated redraw would erase them in tmux control mode).

bash "${CLAUDE_PLUGIN_ROOT}/scripts/run-all.sh" \
  --mode generate \
  --prompt "<prompt>" \
  --output-base "<base>"

Each provider produces <base>-<provider>.png (e.g. <base>-gemini.png, <base>-openai.png, <base>-xai.png). The default set is gemini,openai,xai; OpenRouter is opt-in.

Optional flags:

• --input-image <path> — required for --mode edit; repeatable, every image is forwarded to each provider. Forwarding happens in edit mode only — for Gemini's generate-mode reference images, call gemini.sh directly
• --providers gemini,openai — comma-separated subset; add openrouter to include it (e.g. --providers gemini,openai,xai,openrouter)
• --gemini-extra "--image-size 4K --aspect-ratio 16:9" — pass-through args to gemini.sh
• --openai-extra "--quality high" — pass-through args to openai.sh
• --xai-extra "--resolution 2k" — pass-through args to xai.sh
• --openrouter-extra "--model openai/gpt-5-image" — pass-through args to openrouter.sh

Providers share a pane only while they overlap in time: each finds this tmux window's pane through a registry entry and joins it, and the pane closes once the last provider sharing it has finished. Running the provider scripts as separate sequential Bash calls therefore gives a pane per call, which is why run-all.sh is the way to reach more than one provider at once.

Per-provider stderr/stdout is captured under $DISPLAYPANEDIR/logs/<provider>.{out,err} while the pane is open. Errors render as a red error banner inline. After all providers finish, run-all.sh closes the pane and exits with status 0 if every provider succeeded, 1 otherwise.

If any provider failed, the pane offers a retry ([r] retry failed (xai) · [esc/ctrl-d] close 45s) before run-all.sh exits; pressing r re-runs just the failed providers in the same call, and letting the offer expire or pressing Esc closes the pane and returns the run's existing result. The offer counts down until the first image is on the pane; after that it shows the time budget once (close (up to 45s)), because a rewritten line erases the pane's images.

Prompting Tips

General

• Be specific and descriptive: "a golden retriever puppy playing in autumn leaves, soft afternoon light" beats "dog in park"
• Specify style explicitly: "watercolor painting", "photorealistic", "flat vector illustration"
• Include composition details: "close-up", "aerial view", "centered", "rule of thirds"

Text in Images

• OpenAI GPT Image 2 is significantly better at rendering text
• Put text in quotes or ALL CAPS in the prompt: a sign that reads "OPEN 24 HOURS"
• Specify typography details: font style, size, color, placement

Editing

• Describe what to change, not the whole image
• Be specific about which elements to preserve vs modify
• --input-image is repeatable on all providers, but the modes differ: Gemini accepts up to 14 images in both --mode generate (references for a fresh composition) and --mode edit; OpenAI (up to 16) and xAI (up to 5) accept input images in --mode edit only — their generation endpoints take no images
• For Gemini: supports iterative multi-turn refinement; compose the flat 14-image budget as up to 6 object + 5 character-consistency + 3 style-reference images. There is no API field to tag an image's role — the model infers it from the prompt, so state which images are objects, characters, or style references
• For xAI: prompts are revised by a chat model before generation

Error Handling

• Scripts exit with code 1 on failure and print error details to stderr
• If an API key is missing, the script exits immediately with a clear message
• HTTP errors include the status code and API error message
• If multiple providers are used in parallel and one fails, report the error and present the successful results
• Rate limit errors (HTTP 429) mean the provider's quota is exhausted - try again later or use the other provider
• The script automatically retries a 429 or 5xx status, or a network failure, up to three times with a doubling delay before giving up

Script Options Reference

gemini.sh

openai.sh

xai.sh

openrouter.sh