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name: create-image-fal description: Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs; --image puts a local file on the fal CDN first. The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.) status: active

create-image-fal

Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs; --image puts a local file on the fal CDN first. The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)

Run

gen_image.py --model fal-ai/nano-banana/edit --payload '{...}' --out keyframe.png — bills the agent; returns the *.fal.media URL.

Contract

• Paid calls route through the GooseWorks proxies (bills the Ads agent) via the bundled media_proxy.py — never a provider SDK's default host.
• The template recipe (DB) supplies the model + params; this capability is generic.

Edit an image (Nano Banana edit)

fal-ai/nano-banana/edit is the default editor for a prompt-driven edit: a restage or scene swap, a subject swap in the same pose, a product placed into a scene. It keeps subject geometry, the room and the light. Use create-image-gpt-image-fal instead when lettering is the point of the edit (logos, wordmarks, signage) or for a transparent cutout. Small text inside the source can come back mangled with either model; check it.

gen_image.py --model fal-ai/nano-banana/edit --image product.png --image https://.../scene.jpg \
    --payload '{"prompt": "Put the bottle on the counter; keep everything else unchanged", "aspect_ratio": "9:16"}' \
    --out edit.png

• --image is repeatable and keeps its order; a public url passes through, a local file is put on the fal CDN through the GooseWorks storage proxy (free). Urls already in the payload's image_urls come first.
• Payload: prompt (required); aspect_ratio auto (the input's), 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3 or 9:16; output_format png, jpeg or webp; seed. The script saves the first image, so leave num_images at 1.
• There is no mask. For a region-locked edit, say "keep everything else unchanged" in the prompt.
• Keep the long edge of each input at about 2048 px or less.
• Check the result: it decodes, its size matches the asked aspect, and no watermark, garbled text or extra fingers appear.

Creator references

Whenever the image will contain a person (creator, presenter, interviewee or any face in focus), with or without a template recipe, read the bundled avatar-generation guide before any paid call. Unless the selected recipe prescribes its own creator still, make the person with create-creator-takes-h3's scripts/make_character.py, which calls this skill. Never hand-write a person prompt here and never use a Flux route (fal-ai/flux/dev, fal-ai/flux/schnell) for a face. When the selected video route forbids person references (for example the street-interview format), make no person still at all. If a required guide cannot be fetched or opened, stop and name the missing file. Use the current project's creator choices and approved model binding; fetching this guide does not authorize another image, a retry or a different render engine.

Model notes

How the image models behave, measured on shipped projects. Each note lives here once; recipes point here instead of repeating it.

• Nano Banana: a reference anchors identity and style, not layout. It keeps a product's colourway, materials and proportions, and takes framing, background and pose from the prompt. For a photo-faithful product, composite the real photo instead.
• Nano Banana does not lock a face. With one reference or four real frames, it matched the room and the clothes and returned a lookalike. Never use it to re-pose or re-light a person already in published work, and compare faces side by side at the same scale before anything downstream spends on the result.
• Nano Banana redraws wordmarks with wrong glyphs. For product lettering use gpt-image-2 edit (create-image-gpt-image-fal) or composite the real packshot.
• Nano Banana paths are fal-ai/nano-banana and fal-ai/nano-banana/edit. The engine label nano_banana_2 is not a fal path, and the proxy refuses it as one.
• Seedream 4.5 fills the canvas with a same-shaped subject: a wide monitor in a 9:16 canvas came back turned portrait three times in four. Generate at the subject's own aspect and crop.
• Seedream 4.5 draws the device you name. "Shot on a phone camera" put a phone and a hand in the frame despite the negatives. Describe the artefacts (close range, wide lens, mild barrel distortion, sensor noise), never the device.
• No image model holds a caption safe zone from framing words. Generate loose, then crop or pad to the zone and check it by drawing the band on the frame.
• Hard constraints: see the note in create-video-fal; it applies to image prompts too.