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openai-image-gen

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

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Quellinformationen

Repository
openxjarvis/openclawion
Letzte Quellaktivität
6. März 2026 um 22:39
Erkannte Sprache von SKILL.md
Englisch
Sterne
8
Forks
3

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 wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
openai-image-gen
description
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
homepage
https://platform.openai.com/docs/api-reference/images
metadata
{"openclaw":{"emoji":"🖼️","requires":{"bins":"[Truncated]","env":"[Truncated]"},"primaryEnv":"OPENAI_API_KEY","install":["[Truncated]"]}}
# OpenAI Image Gen Generate a handful of “random but structured” prompts and render them via the OpenAI Images API. ## Run Note: Image generation can take longer than common exec timeouts (for example 30 seconds). When invoking this skill via OpenClaw’s exec tool, set a higher timeout to avoid premature termination/retries (e.g., exec timeout=300). ```bash python3 {baseDir}/scripts/gen.py open ~/Projects/tmp/openai-image-gen-*/index.html # if ~/Projects/tmp exists; else ./tmp/... ``` Useful flags: ```bash # GPT image models with various options python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1 python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4 python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp # DALL-E 3 (note: count is automatically limited to 1) python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape" # DALL-E 2 python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4 ``` ## Model-Specific Parameters Different models support different parameter values. The script automatically selects appropriate defaults based on the model. ### Size - **GPT image models** (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`): `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto` - Default: `1024x1024` - **dall-e-3**: `1024x1024`, `1792x1024`, or `1024x1792` - Default: `1024x1024` - **dall-e-2**: `256x256`, `512x512`, or `1024x1024` - Default: `1024x1024` ### Quality - **GPT image models**: `auto`, `high`, `medium`, or `low` - Default: `high` - **dall-e-3**: `hd` or `standard` - Default: `standard` - **dall-e-2**: `standard` only - Default: `standard` ### Other Notable Differences - **dall-e-3** only supports generating 1 image at a time (`n=1`). The script automatically limits count to 1 when using this model. - **GPT image models** support additional parameters: - `--background`: `transparent`, `opaque`, or `auto` (default) - `--output-format`: `png` (default), `jpeg`, or `webp` - Note: `stream` and `moderation` are available via API but not yet implemented in this script - **dall-e-3** has a `--style` parameter: `vivid` (hyper-real, dramatic) or `natural` (more natural looking) ## Output - `*.png`, `*.jpeg`, or `*.webp` images (output format depends on model + `--output-format`) - `prompts.json` (prompt → file mapping) - `index.html` (thumbnail gallery)
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