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Model infoModelsSnapshot: 15 Oct 2026

Luma AI / Image V2

Image V2

Historical Dream Machine image model with visual-reference workflows.

historicalClosed weightsImage generation
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
4 of 18 specification fields collected
Output resolution720p, 1080pSee specification notes below
Output formatsNot collectedAwaiting source review
Input billingNot collectedDream Machine
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected
Maximum output
Not collected
Reasoning
Not collected
Tool calling
Not collected

Agent orchestration, hosted GLM tools and built-in web grounding do not establish arbitrary function calling by this model.

Structured output
Not collected

A structured API response envelope is not schema-constrained model text output.

Streaming
Not collected

Polling generation status does not establish progressive output streaming.

Batch processing
Not collected

Asynchronous jobs and concurrent requests do not establish a dedicated Batch API.

Fine-tuning
Not collected
Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Context caching
Not collected

Reusable uploaded media and expiring download links do not establish model-inference caching or discounted cache rates.

Historical web credit cost
720p: 4 credits/image; 1080p: 8 credits/image; web batches contain 4 imagesSource for Historical web credit cost (opens in a new tab)

Historical Dream Machine subscription credits. A four-image web batch does not establish a developer Batch API.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

API model ID
Not collected

No verified public model selector for this access path.

Access
Documented in the October 2025 visual-reference guide. Current access and API identity remain unverified.
Regions
Not collected

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Dream Machine

Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Inferred from the named Luma-hosted proprietary service, terms restricting access to underlying models and weights, and the separate official public-checkpoint inventory (IMM and TVM). This is release-specific catalog classification, not an assertion that all Luma research is closed.

Classification evidence (opens in a new tab)

Sources reviewed