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API Reference for Nano Banana Pro. Nano Banana Pro (Gemini 3 Pro Image) is the Pro tier of Google’s Nano Banana image generation family, aimed at complex scenes and legible text.
Comfy Router is not generally available yet. POST /v2/models/{provider}/{model} and its catalog and schema siblings are not serving requests yet: an authenticated call answers 404 today. The snippets on this page document the contract those routes will serve, published ahead of the rollout so your integration is ready to write against.

Quick start

Create a key at platform.comfy.org/profile/api-keys and export it as COMFY_API_KEY. The Python and TypeScript snippets use the Comfy SDKs (pip install comfy-sdk, npm install @comfyorg/sdk); the cURL snippet is the same call over raw HTTP. Model ID: vertexai/gemini-3-pro-image Endpoint: POST https://api.comfy.org/v2/models/vertexai/gemini-3-pro-image

Schema

Input

object[]
required
The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history and the latest request.
object[]
required
object
URI based data.
string
URI
string
The media type of the file specified in the data or fileUri fields. Acceptable values include the following. For gemini-2.0-flash-lite and gemini-2.0-flash, the maximum length of an audio file is 8.4 hours and the maximum length of a video file (without audio) is one hour. For more information, see Gemini audio and video requirements. Text files must be UTF-8 encoded. The contents of the text file count toward the token limit. There is no limit on image resolution.Possible values: application/pdf, audio/mpeg, audio/mp3, audio/wav, image/png, image/jpeg, image/webp, text/plain, video/mov, video/mpeg, video/mp4, video/mpg, video/avi, video/wmv, video/mpegps, video/flv
object
Inline data in raw bytes. For gemini-2.0-flash-lite and gemini-2.0-flash, you can specify up to 3000 images by using inlineData.
string (byte)
The base64 encoding of the image, PDF, or video to include inline in the prompt. When including media inline, you must also specify the media type (mimeType) of the data. Size limit: 20MBFormat: byte
string
The media type of the file specified in the data or fileUri fields. Acceptable values include the following. For gemini-2.0-flash-lite and gemini-2.0-flash, the maximum length of an audio file is 8.4 hours and the maximum length of a video file (without audio) is one hour. For more information, see Gemini audio and video requirements. Text files must be UTF-8 encoded. The contents of the text file count toward the token limit. There is no limit on image resolution.Possible values: application/pdf, audio/mpeg, audio/mp3, audio/wav, image/png, image/jpeg, image/webp, text/plain, video/mov, video/mpeg, video/mp4, video/mpg, video/avi, video/wmv, video/mpegps, video/flv
string
A text prompt or code snippet.
boolean
Indicates this part is a thinking/reasoning step from the model.
string
required
Possible values: user, model
object
Sampling, length and output settings for the generation. Every field is optional: the fields below that declare a default apply it when omitted, and the rest fall back to the model’s own behaviour.
object
Configuration for image generation
string
Aspect ratio for generated images
object
Optional. The image output format for generated images.
integer
Optional. The compression quality of the output image.
string
Optional. The image format that the output should be saved as.
string
Optional. Specifies the size of generated images. Supported values are 1K, 2K, 4K. If not specified, the model will use default value 1K.
integer
Maximum number of tokens that can be generated in the response. A token is approximately 4 characters. 100 tokens correspond to roughly 60-80 words.Range: 16 to 8192
`TEXT`, `IMAGE`[]
integer
When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn’t guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used. Available for the following models:, gemini-2.5-flash, gemini-2.5-pro, gemini-2.5-flash-preview-04-1, gemini-2.5-pro-preview-05-0, gemini-2.0-flash-lite-00, gemini-2.0-flash-001
string[]
number
default:"1"
The temperature is used for sampling during response generation, which occurs when topP and topK are applied. Temperature controls the degree of randomness in token selection. Lower temperatures are good for prompts that require a less open-ended or creative response, while higher temperatures can lead to more diverse or creative results. A temperature of 0 means that the highest probability tokens are always selected. In this case, responses for a given prompt are mostly deterministic, but a small amount of variation is still possible. If the model returns a response that’s too generic, too short, or the model gives a fallback response, try increasing the temperatureRange: 0 to 2Format: float
object
Optional. Configuration for thinking features. Thinking is a process where the model breaks down a complex task into smaller steps to generate a higher-quality response.
boolean
Optional. If true, the model will include its thoughts in the response.
integer
Optional. The token budget for the model’s thinking process. The model will make a best effort to stay within this budget.
string
Optional. The thinking level for the model.Possible values: THINKING_LEVEL_UNSPECIFIED, LOW, MEDIUM, HIGH, MINIMAL
integer
default:"40"
Top-K changes how the model selects tokens for output. A top-K of 1 means the next selected token is the most probable among all tokens in the model’s vocabulary. A top-K of 3 means that the next token is selected from among the 3 most probable tokens by using temperature.Range: 1 to
number
default:"0.95"
If specified, nucleus sampling is used. Top-P changes how the model selects tokens for output. Tokens are selected from the most (see top-K) to least probable until the sum of their probabilities equals the top-P value. For example, if tokens A, B, and C have a probability of 0.3, 0.2, and 0.1 and the top-P value is 0.5, then the model will select either A or B as the next token by using temperature and excludes C as a candidate. Specify a lower value for less random responses and a higher value for more random responses.Range: 0 to 1Format: float
object[]
Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
string
required
Possible values: HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_DANGEROUS_CONTENT
string
required
Possible values: OFF, BLOCK_NONE, BLOCK_LOW_AND_ABOVE, BLOCK_MEDIUM_AND_ABOVE, BLOCK_ONLY_HIGH
object
Instructions for the model to steer it toward better performance. For example, “Answer as concisely as possible” or “Don’t use technical terms in your response”. The text strings count toward the token limit. The role field of systemInstruction is ignored and doesn’t affect the performance of the model. Note: Only text should be used in parts and content in each part should be in a separate paragraph.
object[]
required
A list of ordered parts that make up a single message. Different parts may have different IANA MIME types. For limits on the inputs, such as the maximum number of tokens or the number of images, see the model specifications on the Google models page.
string
A text prompt or code snippet.
string
required
The identity of the entity that creates the message. The following values are supported: user: This indicates that the message is sent by a real person, typically a user-generated message. model: This indicates that the message is generated by the model. The model value is used to insert messages from the model into the conversation during multi-turn conversations. For non-multi-turn conversations, this field can be left blank or unset.Possible values: user, model
object[]
A piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. See Function calling.
object[]
string
string
required
object
required
JSON schema for the function parameters
boolean
If true, generated images will be uploaded to cloud storage and returned as signed URLs instead of inline base64 data. The URLs expire after 24 hours.
object
For video input, the start and end offset of the video in Duration format. For example, to specify a 10 second clip starting at 1:00, set “startOffset”: { “seconds”: 60 } and “endOffset”: { “seconds”: 70 }. The metadata should only be specified while the video data is presented in inlineData or fileData.
object
Represents a duration offset for video timeline positions.
integer
Signed fractions of a second at nanosecond resolution. Negative second values with fractions must still have non-negative nanos values.Range: 0 to 999999999
integer
Signed seconds of the span of time. Must be from -315,576,000,000 to +315,576,000,000 inclusive.Range: -315576000000 to 315576000000
object
Represents a duration offset for video timeline positions.
integer
Signed fractions of a second at nanosecond resolution. Negative second values with fractions must still have non-negative nanos values.Range: 0 to 999999999
integer
Signed seconds of the span of time. Must be from -315,576,000,000 to +315,576,000,000 inclusive.Range: -315576000000 to 315576000000
Generated from the schema Router serves at GET /v2/models/vertexai/gemini-3-pro-image/openapi.json, the same document it validates a call against before the request reaches the provider.

Output

object[]
object
object[]
string[]
integer
string
string (date)
Format: date
integer
string
string
object
The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history and the latest request.
object[]
required
object
URI based data.
string
URI
string
The media type of the file specified in the data or fileUri fields. Acceptable values include the following. For gemini-2.0-flash-lite and gemini-2.0-flash, the maximum length of an audio file is 8.4 hours and the maximum length of a video file (without audio) is one hour. For more information, see Gemini audio and video requirements. Text files must be UTF-8 encoded. The contents of the text file count toward the token limit. There is no limit on image resolution.Possible values: application/pdf, audio/mpeg, audio/mp3, audio/wav, image/png, image/jpeg, image/webp, text/plain, video/mov, video/mpeg, video/mp4, video/mpg, video/avi, video/wmv, video/mpegps, video/flv
object
Inline data in raw bytes. For gemini-2.0-flash-lite and gemini-2.0-flash, you can specify up to 3000 images by using inlineData.
string (byte)
The base64 encoding of the image, PDF, or video to include inline in the prompt. When including media inline, you must also specify the media type (mimeType) of the data. Size limit: 20MBFormat: byte
string
The media type of the file specified in the data or fileUri fields. Acceptable values include the following. For gemini-2.0-flash-lite and gemini-2.0-flash, the maximum length of an audio file is 8.4 hours and the maximum length of a video file (without audio) is one hour. For more information, see Gemini audio and video requirements. Text files must be UTF-8 encoded. The contents of the text file count toward the token limit. There is no limit on image resolution.Possible values: application/pdf, audio/mpeg, audio/mp3, audio/wav, image/png, image/jpeg, image/webp, text/plain, video/mov, video/mpeg, video/mp4, video/mpg, video/avi, video/wmv, video/mpegps, video/flv
string
A text prompt or code snippet.
boolean
Indicates this part is a thinking/reasoning step from the model.
string
required
Possible values: user, model
string
object[]
string
Possible values: HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_DANGEROUS_CONTENT
string
The probability that the content violates the specified safety categoryPossible values: NEGLIGIBLE, LOW, MEDIUM, HIGH, UNKNOWN
string
Timestamp when the response was created.
string
The model version used to generate the response.
object
string
string
object[]
string
Possible values: HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_DANGEROUS_CONTENT
string
The probability that the content violates the specified safety categoryPossible values: NEGLIGIBLE, LOW, MEDIUM, HIGH, UNKNOWN
string
Unique identifier for the response.
object
integer
Output only. Number of tokens in the cached part in the input (the cached content).
integer
Number of tokens in the response(s).
object[]
Breakdown of candidate tokens by modality.
string
Type of input or output content modality.Possible values: MODALITY_UNSPECIFIED, TEXT, IMAGE, VIDEO, AUDIO, DOCUMENT
integer
Number of tokens for the given modality.
integer
Number of tokens in the request. When cachedContent is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.
object[]
Breakdown of prompt tokens by modality.
string
Type of input or output content modality.Possible values: MODALITY_UNSPECIFIED, TEXT, IMAGE, VIDEO, AUDIO, DOCUMENT
integer
Number of tokens for the given modality.
integer
Number of tokens present in thoughts output.
integer
Number of tokens present in tool-use prompt(s).
integer
Total number of tokens (prompt + candidates).
string
Traffic type used for the request (e.g., PROVISIONED_THROUGHPUT).

Examples

Input

Output

The image comes back inline as base64 in inlineData.data, with its mimeType beside it. Decode it and write it to a file; there is no URL to download.

Before you ship

The snippets above are the shortest working call. Three things are the same for every model and are documented once on the Comfy Router headers page: send an Idempotency-Key on every paid call and reuse it when you retry, expect the connection to be held up to Router’s 10 minute deadline, and keep X-Comfy-Request-Id from every response. The SDKs do all three for you; the cURL tab does none of them. On failure, X-Comfy-Error-Type names the bucket, and a 422 means the body failed the model’s schema and was never billed.

Headers

Authentication, idempotency, request IDs, error buckets, retry pacing, spend limits.

Quick Start

Typed error handling in Python and TypeScript, reading the 422, walking the catalog.

Limitations

What Router does not do today, and what to use instead.