clawdbot
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
bunx add-skill clawdbot/clawdbot -s openai-image-genLoading…
Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.
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 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
Different models support different parameter values. The script automatically selects appropriate defaults based on the model.
gpt-image-1, , ): , (landscape), (portrait), or
gpt-image-1-minigpt-image-1.51024x10241536x10241024x1536auto1024x10241024x1024, 1792x1024, or 1024x1792
1024x1024256x256, 512x512, or 1024x1024
1024x1024auto, high, medium, or low
highhd or standard
standardstandard only
standardn=1). The script automatically limits count to 1 when using this model.--background: transparent, opaque, or auto (default)--output-format: png (default), jpeg, or webpstream and moderation are available via API but not yet implemented in this script--style parameter: vivid (hyper-real, dramatic) or natural (more natural looking)*.png, *.jpeg, or *.webp images (output format depends on model + --output-format)prompts.json (prompt → file mapping)index.html (thumbnail gallery)Use when you need to run Flow type checking, or when seeing Flow type errors in React code.
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.
Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.