amazon.titan-image-generator-v1

AI model

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

Not enough verified architecture information for a reliable VRAM estimate.

Specifications · 4 fields

input cost per image

0.0^*

Scope and conditions

native_context

provider: bedrock^*
mode: image_generation^*
full_native_model_id: amazon.titan-image-generator-v1^*
pricing_scope: Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.^*

litellm provider

bedrock^*

Scope and conditions

native_context

provider: bedrock^*
mode: image_generation^*
full_native_model_id: amazon.titan-image-generator-v1^*
pricing_scope: Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.^*

mode

image_generation^*

Scope and conditions

native_context

provider: bedrock^*
mode: image_generation^*
full_native_model_id: amazon.titan-image-generator-v1^*
pricing_scope: Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.^*

output cost per image

0.008^*

Scope and conditions

native_context

provider: bedrock^*
mode: image_generation^*
full_native_model_id: amazon.titan-image-generator-v1^*
pricing_scope: Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.^*

* Provisional data