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codex-image2

Generate or edit raster images through a configurable OpenAI-compatible Image API using gpt-image-2. Use when Codex should create one or many images, illustrations, product shots, covers, website assets, visual variants, background replacements, object changes, or other image edits through CODEX_API_URL and CODEX_API_KEY instead of the built-in image generation tool.

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Quellinformationen

Repository
fengfengzhidao/codex-image2-skill
Letzte Quellaktivität
15. Juli 2026 um 15:39
Erkannte Sprache von SKILL.md
Englisch
Sterne
140
Forks
13

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
codex-image2
description
Generate or edit raster images through a configurable OpenAI-compatible Image API using gpt-image-2. Use when Codex should create one or many images, illustrations, product shots, covers, website assets, visual variants, background replacements, object changes, or other image edits through CODEX_API_URL and CODEX_API_KEY instead of the built-in image generation tool.
# Codex Image2 Generate images with the bundled native CLI. Prefer this skill's executable over the built-in `image_gen` tool whenever this skill is active. No Python, Node.js, Go, or package installation is required. ## Select the executable Choose once from the current operating system and CPU architecture: - Windows x64: `bin/codex-image2-windows-amd64.exe` - Windows ARM64: `bin/codex-image2-windows-arm64.exe` - macOS Intel: `bin/codex-image2-darwin-amd64` - macOS Apple Silicon: `bin/codex-image2-darwin-arm64` On macOS, run `chmod +x <executable>` if execute permission was not preserved. Do not compile from source during normal use. ## Workflow 1. Decide whether the request is a new image, an edit, or multiple distinct assets/variants. 2. Collect the prompt, intended use, exact text, visual constraints, and avoid items. 3. Shape the prompt only as much as needed. Preserve detailed prompts; tastefully clarify generic prompts without inventing brands, people, slogans, or unrelated objects. 4. Run the selected executable with `generate` for one prompt, `edit` for changes to existing images, or `generate-batch` for JSONL jobs. 5. Inspect each output for subject, composition, text accuracy, constraints, and visible artifacts. 6. If revision is needed, change one targeted aspect per iteration and re-check. 7. Report absolute output paths, the final prompt or prompt set, size, quality, and model. ## Prompt structure Use only relevant lines: ```text Asset type: <where the image will be used> Primary request: <the user's request> Scene/backdrop: <environment> Subject: <main subject> Style/medium: <photo, illustration, 3D, etc.> Composition/framing: <camera angle, crop, placement, negative space> Lighting/mood: <lighting and mood> Color palette: <palette notes> Text (verbatim): "<exact text>" Constraints: <must keep or include> Avoid: <must not include> ``` Do not add detail merely to fill the schema. For text in images, quote it verbatim and request exact rendering. ## Generate one image ```powershell & "<skill-dir>\bin\codex-image2-windows-amd64.exe" generate ` --prompt "A small blue nebula in a glass bottle, studio product photo" ` --size 1024x1024 ` --quality auto ` --out "output/imagegen/nebula.png" ``` Use `--prompt-file` for long prompts. Use `--n` only for variants of the same prompt. Distinct assets belong in separate calls or a batch. ## Edit an image Inspect each input image before editing. State its role and repeat invariants in the prompt so unrelated details do not drift. ```powershell & "<skill-dir>\bin\codex-image2-windows-amd64.exe" edit ` --image "input/product.png" ` --prompt "Replace only the background with a warm studio backdrop. Keep the product, label, proportions, and edges unchanged." ` --quality auto ` --out "output/imagegen/product-edited.png" ``` Repeat `--image` for multiple reference or compositing inputs. Use `--mask mask.png` for a localized edit when a compatible PNG mask is available. Preserve originals and always write edits to a new output path. ## Generate a batch Read [references/batch-format.md](references/batch-format.md) before preparing a batch. Then run: ```powershell & "<skill-dir>\bin\codex-image2-windows-amd64.exe" generate-batch ` --input "tmp/imagegen/jobs.jsonl" ` --out-dir "output/imagegen" ` --concurrency 2 ``` ## Configuration and safety - Read the API base from `CODEX_API_URL`; default to `https://apinebula.com`. - Require `CODEX_API_KEY`. Never place it in a command, file, prompt, log, or response. - If the key is absent, tell the user to set it locally and confirm when ready. Never ask them to paste it into chat. - Default to model `gpt-image-2`, size `1024x1024`, and quality `auto`. - Use `--dry-run` to validate a request without network access or requiring a key. - Save project-bound assets inside the current project. The CLI default is `output/imagegen/`. - Do not overwrite files unless the user explicitly authorizes it and `--force` is passed. - Native transparent output is not guaranteed. Do not promise it or silently switch tools. ## Failure handling - The CLI retries network timeouts and HTTP 429/500/502/503/504/524 failures with bounded backoff. - On repeated timeout, suggest `--quality low`, a square size, fewer concurrent jobs, or a later retry. - Do not retry authentication, validation, or other ordinary 4xx errors. - Never expose an Authorization header or full key when reporting errors.
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