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Skillscreate-image-gpt-image-fal

create-image-gpt-image-fal

Design & creation

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Updated 10-16 05:49

About this skill

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)

The script defaults to medium; pass --quality high for finals.

Inputs

Required:

  • --prompt — text prompt. A verbatim character descriptor block goes here for character work.
  • --output — local PNG destination.

Optional:

  • --model — gpt-image-1 (default) or gpt-image-2.
  • --aspect-ratio — 9:16 (default), 16:9, 1:1, 2:3, 3:2. gpt-image-2 also accepts 3:4, 4:3, 4:5. Used when --image-size is not given.
  • --image-size — explicit WIDTHxHEIGHT (e.g. 1728x2304). gpt-image-2 only — values are rounded to multiples of 16 and capped at 3840px. On gpt-image-1 a custom size is ignored with a warning and the aspect-ratio mapping is used instead.
  • --quality — low | medium | high (default medium).
  • --ref-image — local image path. Repeatable — pass --ref-image PATH --ref-image PATH to send multiple refs (e.g. identity + style). When present, routes to the model's /edit variant so the model can match the references (used for character angle gens off an anchor, and for style-anchor + identity-anchor composition). Order matters: pass identity (character) first, then style refs.
  • --with-logs — stream fal queue logs.

Credentials:

  • FAL_API_KEY (or FAL_KEY) in .env.

Preflight

test -n "$FAL_API_KEY" || test -n "$FAL_KEY" || { echo "Missing FAL_API_KEY / FAL_KEY in .env"; exit 1; }
python3 -c "import fal_client" || pip3 install fal_client

Workflow

# Text-to-image, default model (gpt-image-1)
python3 skills/atoms/image-generation/create-image-gpt-image-fal/scripts/generate.py \
  --prompt "..." \
  --output /path/to/anchor.png \
  --aspect-ratio 9:16 \
  --quality medium

# Edit-from-reference (anchor -> angle), default model
python3 .../generate.py \
  --prompt "..." \
  --output /path/to/angle-3q-left.png \
  --ref-image /path/to/anchor.png \
  --aspect-ratio 9:16

# gpt-image-2 with a custom output size (e.g. a designed storyboard sheet)
python3 .../generate.py \
  --prompt "..." \
  --output /path/to/storyboard.png \
  --model gpt-image-2 \
  --image-size 1728x2304 \
  --quality high

The script:

  1. Loads the FAL key via fal_helpers.load_fal_key().
  2. Resolves the model family (--model) and output size (--image-size if given and supported, else the aspect-ratio mapping).
  3. If one or more --ref-image flags are set, uploads each to fal storage and routes to the model's /edit variant with image_urls=[url1, url2, ...]. Otherwise routes to the /text-to-image variant.
  4. Calls fal_client.subscribe(model, payload) via fal_helpers.subscribe.
  5. Downloads the first result image to --output.
  6. Writes <output>.meta.json with gateway, model id, model_family, request, and cost.

Output

  • <output_path> — PNG (≥ 1 KB).
  • <output_path>.meta.json — request + result metadata + cost, including model_family (gpt-image-1 or gpt-image-2).

Quality Checks

  • Output file exists and is > 1 KB.
  • For character anchors: visually inspect against the descriptor block (hair, shirt color, age).
  • meta.json includes gateway: "fal", the resolved model id, model_family, image_size, and quality.
  • For gpt-image-2 custom sizes: confirm the output dimensions match the requested WIDTHxHEIGHT.
  • No readable text in the prompt that should appear in the image. AI image models mangle short brand text, URLs, code tokens, captions, and wordmarks even with explicit prompting. Examples observed: "ffmpeg" → "ffmmg"; "klarify" → "clarify"; "therapists" → "therapits". Use PIL or ffmpeg drawtext for any overlay containing readable text. Reserve image gen for purely visual content (characters, scenes, backgrounds). Repeats LEARNINGS L4.

Failure Modes

Symptom Likely cause Fix
401 Unauthorized Bad FAL key Verify FAL_API_KEY / FAL_KEY in .env.
429 Too Many Requests RPS limit Drop concurrency to 2-3.
Custom size ignored --image-size passed with --model gpt-image-1 gpt-image-1 only supports fixed sizes; use --model gpt-image-2 for custom sizes.
Aspect-ratio drift (gpt-image-1) gpt-image-1 only supports 1024x1024, 1024x1536, 1536x1024 The script maps aspect ratios to these internally.
Size rejected (gpt-image-2) Dimension not a multiple of 16, or > 3840px The script rounds to /16 and caps at 3840; pass a smaller size.
Anchor reference ignored /text-to-image variant doesn't accept refs Pass --ref-image to force the /edit variant.
Skin / face looks "AI-stock" gpt-image's failure mode Add anti-AI cues to the prompt: "natural skin texture with pores, slight asymmetry, no perfect teeth".

Cross-provider parity note

When this atom generates a character anchor (lock-character Phase 0), the anchor approved here MUST be pinned for all downstream angle gens, and the same --model must be used for those angle gens. Mixing model families (or mixing FAL-gpt-image with Higgsfield-gpt_image_2) introduces aesthetic drift. The orchestrator's generate_with_fallback.py inherits gateway/model_family from the anchor's .meta.json for subsequent calls.

References