--- name: upscale-regenerate description: Re-photograph the person's own draft frame at higher resolution with GPT Image 2.5 and a strict prompt when they ask for it by name — cheap and fast but not pixel-exact; every real upscale is Magnific. --- # Cheap re-draw at higher resolution FlashBoards user skill, version 1.2.3 (2026-10-13). On the board, read these guides with `list_skills` and `get_skill` when the assistant exposes them; otherwise use the hosted index through an available read-only retrieval tool. Use that runtime’s actual model discovery, current page context and guarded board actions for execution. Keep native readiness, approval and cost gates; do not claim a guide was read when retrieval is unavailable. Read related guides with `get_skill({skillId:""})` or the [hosted index](https://pub-78da82d51ed14147ac554d38094b0c0b.r2.dev/user-skills/1.2.3/index.html). Reading a guide does not start or authorize a paid generation. Read `upscale` for the shared rules. > **Not an upscale.** Every upscale is Magnific (`upscale-closeup`, `upscale-sheet`, `upscale-fullbody`). This re-draw is only for the person's own draft frames when they ask for it by name. GPT Image 2.5 does not upscale — it **re-photographs**: more detail, but every contour shifts a few pixels (drift 4–6 against 0.4 for the Magnific sublime upscale). Fine for a draft or a start frame, wrong for a sheet or a frame that must match. ## Settings `generate_image` with `gpt-image-25-flare`, `quality: "low"`, `width`/`height` = the source's aspect at about 2× (multiples of 16, for example 2144 × 1600), the source as picture 1 (`referenceGenerationIds`). Higher quality brings the contours closer but shows no visible gain in skin, lashes or fabric — not worth it. ## Strict prompt (use as is) Tested on photographs of people. For a drawn or 3D character it is untested ("person", "pores" and "medium-format camera" do not fit): say so to the person before you run it. ``` Picture 1 is a small, soft image. Output the very same image at high resolution, as if the original photograph had been shot on a medium-format camera: identical composition, framing, person, face, expression, pose, hair, clothes, colours, light and background — nothing added, removed, moved or changed. The only difference is resolution and fine detail: pores, freckles, lashes, brow hairs, hair strands, fabric weave, seams, laces. Remove compression artifacts and blur. Natural photographic sharpness, the same colour grading; no smoothing, no oversharpening, no illustration look. ``` ## Never - Your own prompt or the person's looks in words ("green buzz cut, pearl earring…") — that invites a redraw (in a test the pearl earring became a gold hoop). Only the strict prompt, word for word. - A square or any other size than the source's aspect. - A real face that must stay exact — that is Magnific. - The one-word prompt "upscale" (the worst drift, the least detail), or "cinematic 8K" style prompts when fidelity matters. - 4K for a close-up (it paints). ## Execute through MCP or on the board Use the person's FlashBoards account; never ask for a personal provider key or run the source's local scripts. Discover `get_account`, `list_generation_models` and the tools of this client first: a published guide does not prove a feature is deployed. **Headless, no open board.** Quote with `estimate_generation_cost` (skill models: `estimate_skill_model`), then run `generate_image`, `generate_video`, `generate_audio` or `run_skill_model` with one stable `generationAttemptId` per logical attempt. Pass `maxCostUsd` only when the current operation and selected model support it; otherwise use the quoted cost and the person's explicit approval with the supported controls. Never silently ignore an unsupported spending cap; make one `get_generation` check after `retryAfterSeconds`. Pass the person's own results by `generationId`: images in `referenceGenerationIds`, `firstFrameUrl` and `endFrameUrl`, audio in `referenceAudioUrls` or `targetAudioUrl`, videos in `referenceVideoGenerationIds`. They are read on the server; signed result links do not work as public URLs. Every `generationId` a tool returns stays valid: a later read of the same result gives a different string, and both work. Film frames and gallery pictures go in by `previewHandle`: `referencePreviewHandles` of the generation tools, a `{previewHandle}` source of `arrange_images`, `crop_image` and `pad_image`, and `describe_media`. New files come from `show_media_upload_picker` as receipts. The person's character comes in as its sheet, by `generationId` or as an upload; there is no search by name. If the person names a character without the sheet, ask for it or make one with `character-sheet`; do not scan recent results for it. Free server steps: `trim_video`, `concat_videos`, `conform_video`, `replace_video_audio`, `extract_video_frame`, `extract_video_audio`, `detect_video_cuts`, `crop_image`, `pad_image`, `arrange_images`, `cut_audio_span`, `concat_audio_tracks`, `mix_audio_tracks`, `fit_audio_duration`, `add_audio_reverb`. Check every result with `describe_media` (a question about an image; `model`, `mode` and `sourceRange` only for a video) and `transcribe_media` for speech. Both checks are paid: `describe_media` costs a fraction of a cent for an image and about 2–4 ¢ for a short video (more for a long one), `transcribe_media` under 1 ¢ a minute — count the checks you plan in the price you name before the first paid step. `describe_media` is not reliable about sound: it misses effects mixed under music and can hear voices or instruments that are not there. Check speech with `transcribe_media` and ask the person to listen for effects and music. Never repay an uncertain submission; reuse an attempt ID only for the identical request. Make each new `requestId` or `generationAttemptId` unique, for example the task, the date and a short random suffix: an ID used before, even in another chat, replays that earlier request or answers `REQUEST_ID_CONFLICT`. **On the board.** Inspect with `list_board_sessions` and `get_board_snapshot` and carry the same `sessionId` and a fresh `activeBoardId` as `expectedBoardId`. Native cards: `execute_board_action` (`listNativeModels`, `setModel`), `prepare_board_generation` with ordered board items or owned outputs, then one `generate_on_board` within the authorized budget. Board media tools: `list_media_tools` → `start_media_tool` → `get_media_tool_run`. Put headless results on a board with `add_media_to_board`. Keep mandatory safety settings and the live limits of each model. Prices, timings, endpoints and "free retry" claims in the sources are historical, not FlashBoards contracts. If a step this guide needs is not available or is refused (a tool error, `audio_not_configured`, a missing model or input), keep the finished assets, tell the person which step is blocked and why, and ask how to go on. A single generation that ends `failed` is not a blocked step: submit it once more with a new `generationAttemptId` (reworded if it may have hit the content checker), and stop to ask only if it fails again. A failed attempt is not always refunded, so the retry may be paid again and `maxCostUsd` caps each request on its own: count both against the budget the person approved. Never swap in another route on your own: no image model redrawing a layout or a frame, no `describe_media` in place of the frames it should check, no clip generated only to take its sound, no picture drawn where the guide takes a film frame. ## Source and related guides - [Original Learn guide](https://flashboards-h01.vercel.app/learn/post-production/ai-upscaling/skills/upscale-regenerate.md) - Updated from the owner's skill sources of 2026-10-11. Read: `upscale`, `upscale-start-frame`, `upscale-closeup`. Source experiments and demo materials are historical; use the person's own approved media.