Generate media with Grida CLI

Choose a provider and model explicitly, prepare supported inputs, and save into a new directory. Configure provider keys first. Generation uses the selected provider account and may incur charges.

Generate an image from a reference

Place your own PNG, JPEG, or static WebP at ./reference.png:

grida generate --provider openrouter --model openai/gpt-image-2 \
  --prompt "An abstract graphite sculpture inspired by the reference, no text" \
  --reference ./reference.png --param size=1536x864 --out ./image

Repeat --reference for ordered references where supported. HTTPS URLs are also accepted. Local bytes are sent inline to the selected provider; no preliminary Grida storage upload is needed.

--out must name a new directory whose parent exists. The command waits, saves artifacts and receipt.json, and prints their paths. Existing files are never replaced. Use the printed path for your next step.

Make a short video from that image

When the first step saved ./image/output-1.png, pass it directly:

grida generate --provider fal --model google/veo-3.1-lite \
  --prompt "Slow camera drift and a gentle moving light, preserve the composition" \
  --image ./image/output-1.png --param duration=4 --param resolution=1280x720 \
  --param generate_audio=false --out ./video

This operation accepts a local image and explicit audio control. Omitting generate_audio leaves the provider's default in effect. Other operations may require an HTTPS image URL or expose different options; inspect the model rather than assuming equivalent inputs.

Audio and 3D

Speech uses text and a voice ID. Replace YOUR_VOICE_ID with a result from voices list. Sound effects use a prompt:

grida generate --provider elevenlabs --model eleven_v3 \
  --text "Welcome to the studio." --voice YOUR_VOICE_ID --out ./speech
grida generate --provider elevenlabs --model eleven_text_to_sound_v2 \
  --prompt "A soft mechanical click" --param duration_seconds=2 \
  --param loop=false --out ./sound-effect

Use models list --kind music or models list --kind three-d for other operations. Inspect their signatures: 3D capabilities vary by model, and input or output formats are not interchangeable.

Longer prompts and structured inputs

Save this as prompt.txt:

prompt.txt

A calm abstract composition with charcoal textures and a violet rim light.

grida generate --provider openrouter --model openai/gpt-image-2 \
  --prompt-file ./prompt.txt --out ./long-prompt

--prompt-file - reads UTF-8 text from stdin; --text-file supplies speech text. Only one input can read stdin, so prompt input cannot share it with --key-stdin. --param FIELD=VALUE sets advertised scalar inputs, preserving numbers and booleans such as 0 and false.

For complex input, save the full object as request.json:

request.json

{
  "prompt": "A blue ceramic teapot",
  "size": "1536x864"
}

grida generate --provider openrouter --model openai/gpt-image-2 \
  --input @request.json --out ./structured --json

--input - accepts JSON from stdin. Full JSON is exclusive with request-building flags. JSON strings are never expanded into local files; use file flags or the model's explicit inline-data schema.

File limits and failures

Paths resolve from the working directory. The CLI accepts regular UTF-8 text files and PNG/JPEG/static WebP images, using content-based header checks. It does not resize or transcode. Local images are capped at 8 MiB each, aggregate image reads at 16 MiB, and assembled input at 16 MiB including base64 overhead. An operation may impose a lower limit.

Input and output checks precede generation credentials. A later provider or saving failure may occur after a paid request was accepted. The CLI reports saved paths when available and never automatically retries a possibly accepted generation. Cancellation does not guarantee the provider stopped processing or charging. Review the result before retrying.

--json changes terminal output, not saved artifacts. See scripting conventions for stdout, error, and exit-code behavior.