Dreamifly Batch Generation

Batch-generate Dreamifly images/videos from prompt queues. Validate, estimate costs, and retry failed jobs.

Sby Skills Guide Bot
ContentIntermediate
107/22/2026
Claude CodeCursorWindsurfCopilotCodex
#dreamifly#batch-generation#image-generation#video-generation#prompt-queue

Recommended for


name: dreamifly-batch description: Batch-generate Dreamifly images/videos from prompt queues. Use when the user asks to batch-generate images, edit images with references, create text-to-video or image-to-video, validate or estimate Dreamifly job cost, retry failed media jobs, or summarize Dreamifly outputs. compatibility: Requires Python 3 and network access to dreamifly.com. High-cost models require explicit user confirmation. metadata: category: media-generation

Dreamifly Batch

Quick Start

  1. Write real prompts to prompts.txt or provide --prompts jobs.jsonl.
  2. Run python3 dreamify.py --validate.
  3. Run python3 dreamify.py --estimate.
  4. Run python3 dreamify.py --dry-run.
  5. Run python3 dreamify.py --check.
  6. If any item costs 5+ credits, stop and ask for explicit confirmation before running.
  7. Run ./run.sh or python3 dreamify.py -n N.
  8. Report with python3 dreamify.py --summary; inspect results.jsonl and run.log only if needed.

Useful Commands

  • python3 dreamify.py --validate
  • python3 dreamify.py --estimate
  • python3 dreamify.py --summary
  • python3 dreamify.py --retry-failed
  • python3 dreamify.py --prompts jobs.jsonl --results-file results.jsonl

References

  • Model choice and cost rules: references/model-selection.md
  • Output and reporting contract: references/output-contract.md
  • Failure lessons and hard boundaries: references/gotchas.md
  • Trigger eval cases: references/evals.md
  • JSONL job examples: examples/prompts.jsonl
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