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image-to-film-color-simulation【开发与工程】This prompt directs an AI to take a standard digital photograph and apply an authentic, stock-specific film emulation—replicating the chosen film’s color palette, contrast curve, grain structure, and characteristic effects (e.g., halation or vignette) while keeping the image’s original size, composition, and subject detail intact. The outcome is a hi…
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This prompt directs an AI to take a standard digital photograph and apply an authentic, stock-specific film emulation—replicating the chosen film’s color palette, contrast curve, grain structure, and characteristic effects (e.g., halation or vignette) while keeping the image’s original size, composition, and subject detail intact. The outcome is a high-resolution, editorial-grade film-styled image that looks like it was shot on the selected analog stock, optionally with a film border, without resorting to generic retro filtering or altering identity-critical features.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
Border | Required | Yes/No | (none) |
Film_Type | Optional | Select the film stock you want to emulate | Kodak Gold 200 |
This prompt requires exactly 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | the original photo to be transformed | --image-input-url <url> or --image-input-path <path> |
This skill's modality is: image.
To discover which model values you can use (and which options keys/values are valid for each model), run:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "image".
First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:
betterprompt resources --models-only --json
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
BorderFilm_Type (default: Kodak Gold 200)gemini-2.5-flash-image-preview and its available options. Look up gemini-2.5-flash-image-preview in the betterprompt resources output (filtered to modality "image") and show its availableOptions as: key: val1, val2 (default), val3 | key2: .... Mark a value (default) if it matches these defaults: {}.gemini-2.5-flash-image-preview, options {}. Other models from the resources call are also available.If any required text input or the required images are missing, ask the human for what's missing. Do not assume or fabricate values. Tell the human: "Please provide images in this order: image 1 (the original photo to be transformed)".
Use the frontmatter's name as the positional argument (for this skill, use image-to-film-color-simulation).
Command form:
betterprompt generate image-to-film-color-simulation \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--image-input-url or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: gemini-2.5-flash-image-preview.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate image-to-film-color-simulation \
--input Border=<value> \
--input 'Film_Type=Kodak Gold 200' \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'