Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/bitterbot-ai-openai-image-gen
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About
Use cases: frontend, backend, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/openai-image-gen
What's inside
- Skill name
openai-image-gen- Description
- Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
- License
- MIT
- Instructions
- 66 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- gen.py · scripts/
SKILL.md (first lines)
# OpenAI Image Gen
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
## Run
```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 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)From Bitterbot-AI/bitterbot-desktop, MIT.
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- Stars
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- Forks
- 422
- Open issues
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- Last commit (this folder)
- Mar 28, 2026 (7 months ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- bitterbot.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
openai-image-gen skill. Agent Mart. https://agentmart.dev/skills/bitterbot-ai-openai-image-gen (last updated 2026-10-24)