Topaz Generative Enhance
Connect Claude, Cursor, VS Code, or Codex to Layer’s MCP server and Topaz Generative Enhance becomes a tool your agent can reach for — it picks the parameters, runs the generation, and shows you the result in the conversation.
https://mcp.app.layer.ai/mcpAsk your agent
“Use Topaz Generative Enhance to generate 4 variations of a crystal sword icon on a transparent background.”
execute_forge({
"base_model_id": "topaz-enhance-generative-upscaler",
"prompt": "A crystal sword icon on a transparent background, game UI art",
"batch_size": 4,
"width": 1024,
"height": 1024
})Authenticate with a personal access token, post the model’s own form, and poll the inference until it completes. Every field below is accepted by this endpoint.
# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/topaz-enhance-generative/inferences \
-H "Authorization: Bearer $LAYER_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"guidance_file_init_image": [
{
"url": "https://example.com/input.png"
}
]
}'
# Poll until status is "complete" — the response then carries the asset URLs.
curl https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/inferences/$INFERENCE_ID \
-H "Authorization: Bearer $LAYER_TOKEN"- prompt_enhancement enumdefault AUTOAUTO, OFF, STANDARD
- Let the model rewrite the prompt before generating.
- upscale_factor enumdefault 22, 4
- How many times larger the output is than the source.
- resemblance number0–1
- How closely the result keeps to the source. Higher stays truer to it.
- creativity number0–1
- How much new detail the model may invent. Higher can drift from the source.
- guidance_file_init_image file[]required
- The image to modify
- output_fit any
- Trim the transparent margin, and place the image on a canvas of a fixed size.
Why use Topaz Generative Enhance for image?
Intelligent detail reconstruction for low quality or incomplete assets
Generative Enhance by Topaz goes beyond simple upscaling by synthesizing missing detail and restoring structure. It rebuilds elements that are soft, low resolution, or partially lost, producing cleaner and more natural looking images suitable for production.
Advanced texture and material recovery for game assets
The model recreates believable textures, surface details, and materials ( fabric, metal, skin, foliage ) without introducing harsh artifacts. This makes Generative Enhance ideal for restoring older character art, item icons, or environment textures that need modern polish.
Perfect for repairing assets used in UA, LiveOps, and storefronts
Generative Enhance can fix damaged areas, fill in missing detail, and strengthen focal clarity for promotional frames. It is especially useful for rescuing assets that would otherwise be too low quality for high visibility placements.
Restoring and reconstructing legacy art for modern pipelines
Take low resolution or partially degraded images and rebuild lost detail with natural results. Generative Enhance is perfect for resurfacing archived concept art, older LiveOps content, or assets inherited from previous production cycles.
Repairing UA creatives and improving promotional shots
Fix blurry regions, reconstruct edges, enhance faces, or restore item clarity to make UA frames more readable. Generative Enhance helps teams salvage underexposed, soft, or artifact heavy creatives without needing a new generation.
Enhancing items, icons, and environment textures with believable detail
Reconstruct texture detail on small scale visuals ( weapon icons, consumables, ability art, environment tiles ). The model keeps shapes consistent while rebuilding missing material information, making it strong for high density mobile screens.
FAQ
How much does Topaz Generative Enhance cost? Is it free?+
How does Layer's pricing work?+
There are no seat fees, feature gates, or plans on Layer. Instead, our platform uses a consumption based system with Creative Units (CUs) with a flexible monthly subscription. Every generation on Layer (image, video, 3D, or audio) consumes a Creative Unit, and you only pay for what you create.
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