create-image-gpt-image-fal
Generate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports gpt-image-1 (default, fixed sizes — the FAL fallback for Higgsfield's `gpt_image_2`) and gpt-image-2 (`openai/gpt-image-2`, custom output sizes up to 3840px). Routes to text-to-image or the edit variant depending on whether a reference image is provided. Use for photoreal character anchors, scene keyframes, and designed sheets (e.g. storyboards) where precise layout and legible text matter.
npx skills add gooseworks-ai/goose-skills --skill create-image-gpt-image-fal --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# create-image-gpt-image-fal ## Purpose Generate one image via fal.ai's OpenAI gpt-image endpoints. Two model families are supported through a single `--model` flag: - **`gpt-image-1`** (default) — `fal-ai/gpt-image-1`. The FAL fallback for Higgsfield's `gpt_image_2`. Fixed output sizes only. Used by: - `video-orchestrator/lock-character` Phase 0 (anchor portrait) and Phase 1 (angle keyframes via `/edit`) - `video-orchestrator/create-clips` Phase 1 for photoreal scenes - the orchestrator's `generate_with_fallback.py` router on Higgsfield failure - **`gpt-image-2`** — `openai/gpt-image-2`. The newer model; accepts **custom output sizes** (any multiple of 16, up to 3840px) and renders dense text/layouts well. Used for designed sheets such as ad storyboards (`create-storyboard-sheets-fal`). The default stays `gpt-image-1` so existing callers and the lock-character anchor-parity contract are unaffected. Opt into the newer model with `--model gpt-image-2`. ## Pricing (approximate, as of 2026-05) - **gpt-image-1** — $0.04 (low), $0.08 (medium), $0.20 (high) per image. Source: [fal.ai/models/fal-ai/gpt-image-1](https://fal.ai/models/fal-ai/gpt-image-1). - **gpt-image-2** — token-priced; r
- Purpose
- Pricing (approximate, as of 2026-05)
- Inputs
- Preflight
- Workflow
- Output
- Quality Checks
- Failure Modes
- Cross-provider parity note
- References
test -f ~/.gooseworks/credentials.json || { echo "Missing credentials — run: gooseworks login"; exit 1; }
python3 -c "import requests" || pip3 install requests
python3 skills/ads/capabilities/create-image-gpt-image-fal/scripts/generate.py \
Edit-from-reference (anchor -> angle). --ref-image must be a PUBLIC URL,
NOT a local path (the proxy does not upload local files):
python3 .../generate.py \
gpt-image-2 with a custom output size (e.g. a designed storyboard sheet)What does the create-image-gpt-image-fal skill do?
Generate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports gpt-image-1 (default, fixed sizes — the FAL fallback for Higgsfield's `gpt_image_2`) and gpt-image-2 (`openai/gpt-image-2`, custom output sizes up to 3840px). Routes to text-to-image or the edit variant depending on whether a reference image is provided. Use for photoreal character anchors, scene keyframes, and designed sheets (e.g. storyboards) where precise layout and legible text matter.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill create-image-gpt-image-fal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.