
Layer Image
layerai/skills/skills/layer-imageby layerai315d06db6f76MIT4 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 8 days ago
Use when generating a still image with Layer: concept art, key art, illustrations, marketing images, icons, or any text-to-image run. Also when a prompt is not landing, when the aspect ratio or resolution is wrong, when a style or pose reference should steer the result, when readable text must appear in the image, or when several images must share one look. Keywords: txt2img, text to image, prompt, aspect ratio, negative prompt, style reference, seed.
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npx skills add https://github.com/layerai/skills/tree/315d06db6f760160b26293fd867ac759942e2106/skills/layer-imageSource and attribution
Source:layerai/skillsinskills/layer-imageat commit315d06d
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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Layer Workflow Import
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Rebuilds workflows from other tools as Layer Blueprint graphs and imports them via import_workflow.

Layer Video Timeline
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Assembles existing clips, images and audio into one finished video timeline with transitions, overlays and captions.

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Use when generating video with Layer: text-to-video, animating a still image, extending a clip, adding camera motion, generating native audio or lip sync, looping animations, or planning a multi-shot ad, trailer, or cutscene. Also when a video prompt produces the wrong motion or the shot drifts off the source image. Keywords: txt2vid, img2vid, image to video, camera motion, video effects, loop, seamless, trailer, cutscene, lipsync.

Layer Textures
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Guides generation of seamless, tileable textures with the Layer image model, covering scale, lighting and repeat checks.

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Use when a look must hold across many Layer generations: training a custom style or LoRA on a studio's own artwork, curating the images that go into a reference set, choosing its training category, tuning reference-set weight on a run, or deciding whether to train at all rather than attach a style reference. Also when a trained style produces weak, inconsistent, or silently ignored results. Keywords: LoRA, custom model, trained style, reference set, consistency, on-model, art direction, dataset.
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