Picnow Image Generation
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About this skill
Problem
Long 2K/4K image renders can exceed edge timeouts on synchronous image APIs. Picnow wraps the async GPT-Image-2 flow, so the agent submits a job, polls until completion, and returns the final image URL.
How It Works
- Inputs:
promptis required; optionalquality(1k/2k/4k),aspect(square/landscape/portrait),n(1–10), andref(local reference image path). - Modes: without
ref, it runs text-to-image; with a local path, it runs image-to-image editing. - Execution: calls
api.letmego.topunder/v1/async/images/..., submits the job, polls for completion, and emits a single JSON result. - Output: presents each URL as a clickable link or inline image, labels batches like
1/3and2/3, and can follow up with download, save, or another variation.
Boundaries
4k supports landscape or portrait only, not 4k square. 1k is best for previews and social media, 2k for e-commerce and print, and 4k for larger deliverables. Errors may involve a missing LETMEGO_API_KEY, invalid token, insufficient balance, upstream 4xx responses, or network issues; handle them by refreshing the token, checking balance, inspecting the upstream message, or retrying.
Use Cases
- Generate 1k social media previews in landscape or portrait, then create three labeled variations for review.
- Use a local product photo as ref to create a 2k e-commerce hero image, then download and save it to the project.
- Produce a 4k landscape conference banner from a copy prompt, retrying on quota, auth, or network failures.
- Draft square icon concepts from copy, then rerun the generation to adjust style or composition.
Best For
- Social media editors who need quick multi-image previews for scheduled content.
- E-commerce designers who edit local product photos and deliver 2k hero images.
- Creative specialists preparing conference assets who need 4k landscape banners and error checks.
- AI application engineers validating prompt concepts with 1-10 generated drafts.
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