Flora Image Resize

FLORA Generative Image Resize

Hosted MCP generation inputs are plural: call flora_create_generations with { "generations": [{ "workspace_id": "ws_…", "project_id": "prj_…", "type": "image", "prompt": "…" }] } (1–20 items). Put per-generation fields, including optional model, params, and reference_node_ids, inside each item. Read generations[] in the response; retain successful entries' run_id and handle failures individually. Poll flora_list_generations with { "run_ids": ["run_…"] }, even for one run; add technique_id for technique runs. Never retry successful items because another item failed.

Use dedicated tools for this workflow, including batches. execute is deprecated; use it only for an SDK operation without a dedicated tool. SDK examples below describe orchestration: use the corresponding dedicated tools, issue independent calls concurrently, retain every run id, and poll in later calls. Do not choose execute just to combine calls.

One source image into every placement's aspect ratio, generatively — no bars, no crop that loses the subject.

The law

A reframe is a re-render that holds the subject, not an extension that holds the pixels. The model rebuilds the whole frame in the new shape, carrying subject, props, palette and grade across. It does not paste the original in and paint the margins. If a pixel must survive review unchanged, do not generate — pad or crop.

This is the one place this skill differs from flora-video-resize, whose v2v prompt recipe can instruct the source to span the full width. It does not transfer.

Trigger

User supplies an image (upload or URL) and wants other aspect ratios. Ask or infer the targets — default set: 9:16, 16:9, 1:1.

The source goes in params, and that is not true of video

flora_create_generations does accept an i2i source through params.image_url:

{
  "generations": [{
    "workspace_id": "ws_…",
    "project_id": "prj_…",
    "model": "i2i-qwen-image-edit",
    "type": "image",
    "prompt": "Reframe this image to 9:16. Preserve the subject, props, palette, lighting and grade.",
    "params": { "aspect_ratio": "9:16", "image_url": "https://media.flora.ai/source.png" }
  }]
}

Verified — a 1024×1024 source returned 864×1536 with the subject, every prop, the palette and the grade carried across. Do not copy the canvas-edge workaround from flora-video-resize. That skill's #1 failure mode is that v2v silently ignores a source passed this way and bills you for an unrelated text-to-video clip. i2i does not behave that way, and wiring a canvas graph to get around a problem you do not have costs you two extra calls per ratio.

Sanity-check the first run anyway: if the output shares no props with the source, the source was dropped and everything after it is text-to-image.

Models

The models named "outpaint" are the wrong reach. An agent matching on the word gets i2i-imagen-3-outpainting or i2i-out-flux-2-pro, neither of which exposes an aspect ratio — the one parameter this job is about. Reach for i2i-qwen-image-edit.

i2i-out-flux-2-pro reports estimated_credits: 0. It is not free. Its provider is generation_gateway, and the catalog reports 0 for every model behind that gateway — the same defect flora-video-resize names for Seedance. Never quote a gateway model's cost from the catalog.

Costs are quoted high

Measured on i2i-qwen-image-edit: quoted charged_cost: 0.036 at submit, actually charged 0.02 on completion. Quote from the submit value so nobody is surprised upward, and report the completion value as the real number. Four ratios is roughly 0.08, not 0.15.

4:5 exists nowhere

Not in i2i-qwen-image-edit's options, and not in the free AR action either. Both stop at 3:4 and 2:3. Generate the nearest native ratio — 3:4 — then trim the small delta with the free change-image-ar-browser action. Never ask the model for 4:5; aspect_ratio is an enum and an unlisted value is not honoured.

Steps

1. Look at the source. Note subject, wardrobe or packaging, every prop, the background, the grade, and every text string verbatim. These go in the prompt — the model is rebuilding the frame and will drop anything you do not name.
2. Pick the ratios. Default 9:16, 16:9, 1:1. Derive 4:5 from 3:4.
3. Fire all ratios concurrently through flora_create_generations with params.image_url and params.aspect_ratio. Concurrent is one wait; sequential is N waits, and each run is ~25s.
4. Prompt, one per ratio:
   • Open with the transform: Reframe this image from {source AR} to {target AR}.
   • Pin what carries: Keep the subject ({name it: identity, wardrobe, packaging}), every prop ({list them}), the background, lighting and colour grade exactly as in the source.
   • Direct the new area: Extend the scene into the revealed {top and bottom / left and right}, continuing {name the surface or backdrop}.
   • Lock the type: Reproduce all text and logos glyph for glyph: {each string}.
   • Close: Do not restyle, recolour, or replace the subject.
5. Poll with flora_list_generations. The output URL may land under node-inputs/ rather than node-outputs/ — that is normal for an i2i result, not an error.

Verification

Check every output before delivering:

• Ratio. Confirm the pixel dimensions divide to the target. 864×1536 is 9:16.
• Prop survival. List the source's props and tick each one off in the output. This is the check that catches a silent text-to-image — the subject may look right in style while every object around it changed.
• Text. Read every string. Re-rendered frames re-typeset, and small prop text drifts first.
• Composition drift. Expect the subject to move and change scale; that is the law, not a defect. Reject only if it is cropped out, restyled, or duplicated.

One failed check → one retry with the prompt tightened on the failure. Still failing → deliver the best output and name the defect. Report the completion charged_cost per run and the project link.

Breaks when

• The source is an approved asset. The frame gets rebuilt; approval does not survive it. Pad or crop instead.
• Fine print must be legible. Re-typesetting is a re-render, not a copy.
• The source is already extreme. A 21:9 panorama to 9:16 is ~85% new pixels; the model is inventing a picture with a hint, and it looks like it.

Pairs with

flora-video-resize for the moving version of the same job. flora-mockup-deck when the ask is to place finished artwork into the world rather than change its shape — that one reproduces the artwork exactly and never regenerates it.