Individual skill
leonardo-image
Create, edit, guide, upscale, and quality-control still images with Leonardo.Ai's official Production API, including native Lucid and Phoenix models, uploaded or generated references, image-to-image, ControlNet guidance, realtime-canvas inpainting, Pro and Universal upscalers, and custom Elements or models. Use for Leonardo image API implementation, async polling or webhooks, dry-run and cost governance, secure artifact handling, prompt iteration, or production troubleshooting. Do not use for Leonardo video, 3D generation, unofficial wrappers, or third-party gateway APIs.
skills/providers/image-generation/leonardo-image/SKILL.md
Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Jul 14, 2026
- License
- MIT
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# Leonardo image production
Operate Leonardo.Ai's official Production API for still images. Keep native Leonardo models, partner models hosted by Leonardo, realtime-canvas endpoints, and legacy endpoints visibly separate: they have different routes and schemas.
## Start with a production brief
Collect or propose:
- Deliverable: subject, setting, style, composition, aspect/dimensions, output count, and acceptance criteria.
- Operation: text-to-image, image-to-image, reference guidance, masked edit, upscale, background removal, or custom training.
- Source media: local paths or Leonardo image IDs, whether each is uploaded or generated, and the intended role of each reference.
- Rights: ownership/licence, likeness consent, privacy classification, and whether public visibility is allowed.
- Runtime: direct REST, official Python SDK, or official TypeScript SDK.
- Spend: calculator estimate, hard budget, concurrency ceiling, and whether auto-top-up is disabled.