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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

Route requests across multiple providers. Copy a provider slug to set your preference.

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.

Oct 26, 18:49
NovitaAI100.00%

Throughput

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

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Latency

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

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Activity

Token volume and request traffic to this model over time.

Token Consumption
Oct 25
NovitaAI561.2K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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No benchmark data is available for this model.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. View All

Token Ranking

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