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Skillsgpt-image-2.5

gpt-image-2.5

Design & creation

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Updated 10-15 21:42

About this skill

GPT Image 2.5

Generate or edit images through Frevana's AI Factory OpenAI image endpoint.

Return the validated API response JSON unchanged. Treat data[0].image_url as the primary image URL.

Model Selection

  • Honor an explicit user choice of gpt-image-2.5-flare or gpt-image-2.5-sunburst.
  • Otherwise use gpt-image-2.5-flare for most requests, especially fast iteration, social/creator content, prototypes, visual search, product experiences, or high-volume generation.
  • Use gpt-image-2.5-sunburst when the request prioritizes maximum precision over latency: demanding reference preservation, tightly controlled or repeated edits, production-ready campaign creative, polished product imagery, complex layouts, or exact text/detail work.
  • When the request does not clearly justify Sunburst, use Flare. Do not ask the user to choose unless the speed-versus-precision tradeoff materially affects their request.

The script defaults to Flare when --model is omitted. Pass the chosen model explicitly when the agent selected Sunburst.

What This Skill Needs

  • user-provided prompt or contents
  • optional reference inputs: --image, --image-url, --image-dir, --mask
  • optional image settings: n, size, quality, background, output_format, output_compression, moderation, input_fidelity
  • FREVANA_TOKEN, or a one-run --token override
  • optional FREVANA_AGENT_APP_INSTANCE_ID; when non-empty, the script sends it as the x-frevana-agent-app-instance-id header on the image generation request
  • curl, bash, and python3

Execution

  1. Confirm the user supplied a prompt.
  2. Select the model using the rules above and prefer the bundled script over ad hoc requests.
  3. Map local images to repeatable --image, remote image URLs to repeatable --image-url, and directories to repeatable --image-dir.
  4. Use --input-fidelity only for editing/reference-image requests. Use high when exact faces, products, typography, or other source details must be preserved; otherwise omit it and let the API default apply.
  5. Use --moderation only for text-to-image generation without reference images.
  6. Let the script use FREVANA_TOKEN first. In a non-interactive run, report the missing token instead of prompting indefinitely.
  7. When FREVANA_AGENT_APP_INSTANCE_ID is non-empty, let the script attach it to the image generation request as x-frevana-agent-app-instance-id.
  8. Return raw JSON, or only the first hosted URL when that is all the user requested. Save JSON with --output when useful.

Allowed Options

  • --model: gpt-image-2.5-flare or gpt-image-2.5-sunburst; defaults to Flare
  • --n: 1-10
  • --size: auto or WIDTHxHEIGHT; each edge at most 3840 and divisible by 16, aspect ratio at most 3:1, total pixels from 655360 through 8294400
  • --quality: auto, low, medium, high, xhigh, max
  • --background: auto, opaque, transparent; transparent output requires PNG or WebP
  • --output-format: png, jpeg, webp
  • --output-compression: 1-100, only with JPEG or WebP
  • --moderation: auto, low, generation only
  • --input-fidelity: low, high, editing/reference-image requests only
  • --image: repeatable .png/.jpg/.jpeg/.webp local file under 50MB
  • --image-url: repeatable remote HTTP(S) image; downloaded before upload, under 50MB
  • --image-dir: repeatable local directory, recursively loaded; at most 16 total reference images
  • --mask: optional local PNG under 4MB, only with reference images

Resolutions above 3686400 pixels are experimental. Prefer common sizes such as 1024x1024, 1536x1024, 1024x1536, 2048x2048, 2048x1152, 3840x2160, or 2160x3840 unless the user needs a custom canvas.

Commands

bash <skill-path>/scripts/generate_image.sh \
  --prompt "A cinematic product photo of a matte black espresso machine on travertine" \
  --size 2048x1152 \
  --quality high \
  --output-format png \
  --output ./out/gpt-image-2.5-result.json

bash <skill-path>/scripts/generate_image.sh \
  --model gpt-image-2.5-sunburst \
  --prompt "Change only the label typography and preserve the product exactly" \
  --image ./refs/product.png \
  --input-fidelity high \
  --quality xhigh \
  --background transparent \
  --output-format webp \
  --output ./out/gpt-image-2.5-edit-result.json

Notes

  • Keep the backend route fixed at POST /openai/image/generate; only the two GPT Image 2.5 model IDs are selectable.
  • Keep prompt required for both generation and editing.
  • Do not rewrite, proxy, or transform returned Frevana image URLs unless asked.
  • The script intentionally does not implement streaming or partial_images, because the Frevana endpoint currently returns one completed JSON response.