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/openai-image-gen

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

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bitterbot-desktop
2.5k66 skills
Install
$ npx -y skills add bitterbot-ai/bitterbot-desktop --skill openai-image-gen --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/openai-image-gen

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

openai-image-gen.SKILL.md
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:
  {
    "bitterbot":
      {
        "emoji": "🖼️",
        "requires": { "bins": ["python3"], "env": ["OPENAI_API_KEY"] },
        "primaryEnv": "OPENAI_API_KEY",
        "install":
          [
            {
              "id": "python-brew",
              "kind": "brew",
              "formula": "python",
              "bins": ["python3"],
              "label": "Install Python (brew)",
            },
          ],
      },
  }

OpenAI Image Gen

Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.

Run

python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html  # if ~/Projects/tmp exists; else ./tmp/...

Useful flags:

# 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 robot in a garden" --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)
Read more
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