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dria generate

Generate text with any model on the network. Streams by default.

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Basic usage

dria generate -m qwen3.5:9b "explain quantum computing in one sentence"

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Streaming vs non-streaming

Streaming is enabled by default — tokens appear as they’re generated: 
# Stream (default)
dria generate -m qwen3.5:9b "write a haiku about rust"

# Wait for the full response
dria generate -m qwen3.5:9b "write a haiku about rust" --no-stream

# Get the full API response as JSON
dria generate -m qwen3.5:9b "hello" --json

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Vision (image attachments)

Attach images with -a. Use a vision model (models with -vl in the name): 
dria generate -m qwen2.5-vl:7b "describe this image" -a photo.jpg
Multiple attachments: 
dria generate -m qwen2.5-vl:7b "compare these" -a before.png -a after.png
Supported formats: .jpg, .jpeg, .png, .gif, .webp, .bmp

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Structured output

Extract structured data by specifying field names: 
dria generate -m qwen3.5:9b "John Doe, john@example.com, age 30" --schema 'name,email,age:integer'
Field types: string (default), integer, number, boolean. Separate with commas, specify type with :. For complex schemas, use a JSON schema file: 
dria generate -m qwen3.5:9b "extract the data" --schema-file schema.json

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Piping

Pipe prompts from stdin: 
echo "translate to French: hello world" | dria generate -m qwen3.5:9b
cat essay.txt | dria generate -m qwen3.5:9b "summarize this"
Pipe output to other tools: 
dria generate -m qwen3.5:9b "list 5 colors as JSON" | jq .

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Options

OptionDescriptionDefault
-m, --model <model>Model to userequired
-a, --attachment <file>Image/audio file (repeatable)—
--schema <fields>Comma-separated field names for structured output—
--schema-file <path>JSON schema file for structured output—
--no-streamDisable streamingfalse
--jsonOutput full JSON response (non-streaming)false
--max-tokens <n>Maximum tokens to generate2048
--temperature <t>Sampling temperature0.7
--timeout <seconds>Timeout for non-streaming requests120