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Sofia Tahir
Sofia Tahir

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Nano Banana 2 in ComfyUI: how to set up hosted image nodes

Nano Banana 2 is Google DeepMind's Gemini 3.1 Flash Image model, available in ComfyUI through hosted Partner Nodes. Update ComfyUI, sign in with a Comfy account that has credits, and load the official Nano Banana 2 workflow to generate or edit images. Google provides no open weights for local inference. Google model identity, Comfy workflow, and access prerequisites.

What are the key facts about Nano Banana 2 in ComfyUI?

Developer Released Type Size or parameters License and access Where it runs
Google DeepMind. Launch February 26, 2026, Google model announcement. Launch Image generation and editing through a Partner Node. Comfy guide Not published in the Google model documentation. Model page Hosted Google service with no open weights; Comfy Partner Nodes use account credits. Google access, API terms, and Comfy prerequisites External model service reached from ComfyUI. Partner Node architecture

The workflow editor and the image model have different roles. ComfyUI organizes your inputs and the returned image, while the Partner Node sends the generation request to an external service. Plan the workflow around that service connection. Partner Node documentation.

For the surrounding interface and graph concepts, use the ComfyUI guide. This page focuses on setting up Google's Nano Banana 2 node and checking the first result.

How do you add Nano Banana 2 to ComfyUI?

Comfy's official instructions offer two starting points: search the canvas for Nano Banana 2, or load the prepared workflow from the Template Library. The documentation also provides a downloadable image-edit workflow. Official Nano Banana 2 workflow.

  1. Update ComfyUI to the latest version and check that Partner Nodes are available.
  2. Sign in with your Comfy account and check its credit balance.
  3. Open the Template Library and search for Nano Banana 2.
  4. Load the workflow, supply the reference image for an editing task, and enter the requested change.
  5. Choose the resolution and aspect ratio, then review the available thinking setting before running the workflow.

These steps follow Comfy's model guide and account prerequisites. Keep the template's basic structure for the first request so you can isolate access issues before extending the graph. Workflow setup and account setup.

Try a narrow edit with this original prompt:

Place the supplied desk lamp on a pale wooden table. Preserve the lamp's shape, color, and visible controls. Leave empty space to the left for a heading that will be added later.

Inspect the result against each requirement. Check the lamp before evaluating the new setting: an attractive room does not compensate for a changed product control or shape. Save the accepted output and the workflow settings together before adding more processing stages.

Comfy also documents Nano Banana 2 as a model choice in the existing Nano Banana Pro node. When adapting such a graph, inspect the selected model version; the node's display name alone does not identify which model the request will use. Existing-workflow support.

Which Nano Banana 2 controls should you start with?

Comfy's guide exposes resolution, aspect ratio, and thinking choices for Nano Banana 2. Google's model documentation also lists image-search grounding and additional tall and wide aspect ratios among its capabilities. Check what your installed node exposes before planning a particular request. Comfy controls and Google capabilities.

Start with the destination of the asset. For a wide page banner, choose the required proportions and describe where the subject belongs. For a portrait placement, write a separate composition brief. Keep the output settings and prompt together so the next person can see both the format and the visual intent.

Change one requirement at a time during the first experiment. If the image is the wrong shape, address the format. If the subject is misplaced, address the composition. Record the changed setting alongside the new result rather than relying on memory of the previous graph.

For Google's API-level format controls, see the sibling Nano Banana 2 image-format guide.

Why might the node be missing or a request fail?

Comfy documents installation, account, credit, and network prerequisites for Partner Nodes. Its Nano Banana 2 page advises updating ComfyUI if the workflow or required nodes are missing. Check those conditions before changing image-generation settings. Partner Node prerequisites and model setup.

For a remote installation, follow Comfy's documented network and login requirements. The Partner Nodes guide includes a Comfy account API-key login route for websites outside its sign-in whitelist. Use the credential flow that applies to your installation. Network and account access.

There is no Nano Banana 2 weight file to add to a checkpoint directory. The documented integration calls a hosted Google model, so installing a local workflow does not move that model's inference onto your GPU. Google developer access and Partner Node architecture.

Successful execution and an acceptable image are separate checks. Google's image guide says the requested output count may not be followed exactly and that generated images carry SynthID. Inspect the returned content before deciding that the task is finished. Image-generation limitations.

How can you inspect Comfy's partner models from the CLI?

Comfy CLI provides commands to inspect its partner-model catalog and each alias's schema. Install it with python -m pip install comfy-cli, then use browser sign-in; a COMFY_API_KEY is an alternative for headless use. Account credits are required for generation. CLI setup.

comfy cloud login
comfy generate list --query nano
comfy generate schema nano-banana
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The catalog and schema commands inspect available aliases and parameters. They do not generate an image. Comfy labels the generate command as beta and documents that aliases and flags can change, so check the returned model choices before adapting an example. Command reference.

The nano-banana alias covers Gemini image generation and editing, but the alias alone does not establish that a request targets Nano Banana 2. Use the official canvas workflow above for this tutorial, and verify a CLI model selector against the schema before using it in automation. CLI examples and model schema.

How does this compare with Nano Banana Pro or SDXL?

Workflow choice Documented access What to evaluate
Nano Banana 2 Comfy Partner Node. Workflow The required format, reference edit, and returned result.
Nano Banana Pro Separate Comfy model workflow. Workflow The same brief with Pro selected explicitly.
SDXL base Downloadable Stability AI artifacts and an inference example. Model card Whether a workflow using local model weights meets the task.

Choose according to the image requirement and deployment needs. For a Pro-specific setup, use the sibling Nano Banana Pro ComfyUI workflow guide.

What else should you know about Nano Banana 2 in ComfyUI?

Does Nano Banana 2 run locally in ComfyUI?

No: Comfy's Nano Banana 2 integration uses a Partner Node connected to a hosted service. Google does not supply open weights for local inference. Comfy architecture and Google access.

Which account pays for the Partner Node request?

The documented Comfy Partner Node route uses a signed-in Comfy account with credits. Follow Comfy's account setup for this workflow. Account prerequisites.

Can I edit an existing photograph?

Yes: Comfy provides a Nano Banana 2 image-edit workflow and sample reference input. Load that workflow, supply your image and instruction, and inspect the result before extending the graph. Official workflow.

Can an existing Nano Banana Pro node use Nano Banana 2?

Comfy's documentation says Nano Banana 2 was added to the existing Pro node's model choices. Update the installation and reselect the model version in the workflow. Existing-node support.

Sources

Primary sources checked on September 5, 2026.

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