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inclusionAI: Ming Image 0.1 Design LayerActive

inclusionai/ming-image-0.1-design-layer
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Ming Image 0.1 Design Layer is an image-to-image model from inclusionAI that decomposes a flattened design image into separate RGBA layers, such as a background layer and foreground elements, and returns one image per layer. It requires exactly one reference image and a prompt describing the layer plan. Output format can be requested as PNG or WebP. Output dimensions follow the input image, so explicit sizes and aspect ratios are rejected instead of silently reshaped.

By:inclusionAIInput Type:Output Type:Publish time:2026-09-22

Providers

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ProviderCache Hit RateContext
NovitaAI
novita
-$0/ M tokens$0/ M tokensRead:-/ M tokensWrite:-/ M tokens8K--

Uptime

Direct request success rate on AI Gateway and per-provider.

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Activity

Token volume and request traffic to this model over time.

Token Consumption

Benchmarks

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Metrics sourced fromArtificial Analysis

Apps

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Token Ranking

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