Configure your Scenario.com API credentials for this session. You MUST call this tool first before using any other Scenario tools. Get your credentials from https://app.scenario.com/ (Settings → API Keys).

Check if credentials are configured for this session (does not expose actual values).

List assets of a project team, or list all public assets

Upload an image or canvas

Delete multiple assets

Request a link to batch download assets (batch limited to 1000 assets)

Retrieve the status and the url of a batch download assets request

Get multiple assets by their IDs

List all public assets

Get the details of an asset

Get the details of an asset

Update a canvas asset

Duplicate an asset

Lock a canvas

List snapshots of a canvas type asset

Add/delete tags on a specific asset

Unlock a canvas

List collections of a team

Create a new collection

Get the details of a collection

Update the name of a Collection

Delete a collection

Add assets to a specific collection

Remove assets from a specific collection

Add models to a specific collection

Remove models from a specific collection

Caption image(s)

Trigger a new image generation in ControlNet mode. The control image is used to guide the generation; it can be a pose, canny map, or similar.

Trigger a new image generation in ControlNet + Img2Img mode. The control image is used to guide the generation; it can be a pose, canny map, or similar. The reference image is used to initialize the generation process.

Trigger a new image generation in ControlNet + Inpaint mode. The control image is used to guide the generation; it can be a pose, canny map, or similar. The mask indicates the area to inpaint in the reference image.

Trigger a new image generation in ControlNet + Inpaint + IpAdapter mode. The control image is used to guide the generation; it can be a pose, canny map, or similar. The mask indicates the area to inpaint in the reference image, and the second reference image is used as an IPAdapter to guide the generation process.

Trigger a new image generation in ControlNet + IpAdapter mode. The control image is used to guide the generation; it can be a pose, canny map, or similar. The second reference image is used as an IPAdapter to guide the generation process.

Trigger a new seamless texture image generation in ControlNet mode. The control image is used to guide the generation; it can be a pose, canny map, or similar.

Generate with any model (Image, Video, Audio, 3d).

You can retrieve the model inputs from the GET /models/{modelId} endpoint.

Note: This endpoint is not available yet for SD1.5, SDXL, Flux.1 and Flux.1-Kontext based models. For these models, use the POST /generate/{inferenceType} endpoint. Ex: POST /generate/txt2img or POST /generate/prompt-editing

Describe the style of the given images or models.

Advanced precision in image generation by transforming visual data from input images into mode maps.

Get embeddings from text

Generative fill replace the selected mask area content based on the context. Used to erase objects or characters.

Trigger a new image generation in Img2Img mode with one reference image that initializes the generation process.

Trigger a new image generation in Img2Img + IpAdapter mode. The first image is used to initialize the generation, and the second reference image is used as an IPAdapter.

Trigger a new seamless texture image generation in Img2Img mode with one reference image that initializes the generation.

Trigger a new image generation in Inpaint mode. The mask indicates the area to inpaint in the reference image.

Trigger a new image generation in Inpaint + IpAdapter mode. The mask indicates the area to inpaint in the reference image, and the second reference image is used as an IPAdapter to guide the inpainting.

Patch an asset with an image.

Advanced pixelization of an image.

Generate, complete or invent new prompts.

Edit an image with a prompt.

Reframe a given image to new sizes. Extra space is filled based on the context.

Advanced remove-background of an image.

Trigger a restyle process from one sketch image (or other image) and one or more reference style images.

Trigger the segmentation of an image. The process will create a new Asset with the segmentation mask as a child.

Trigger the generation of a 360 skybox seamless image.

Trigger the upscaling of an image matching the 360 skyboxes specific geometry.

Trigger the conversion of an image texture to different texture maps:

• Height map

• Normal map

• Smoothness map

• Metallic map

• Edge map

• Ambient Occlusion map

The process will create a new Asset with the above texture maps as children + the original image as an Albedo map.

Translate text from one language to english.

Trigger a new image generation in Txt2Img mode.

Trigger a new image generation in Txt2Img mode with one IpAdapter reference image that guides the generation process.

Trigger a new seamless texture image generation in Txt2Img mode.

Trigger the upscaling of an image. You can use styles and presets to quickly get results or craft your very own settings.

Note:This endpoint is deprecated and will be removed in the future. Please leverage POST /generate/custom/{modelId} endpoint instead with model_scenario-upscale-v3 modelId for example. See https://docs.scenario.com/docs/upscale-generation for more details.

Advanced vectorization of an image.

List all jobs matching the given filters. A job is a synchronous operation or an asynchronous task such as a training, a generation, etc. It offers a unified view of all operations running on the platform along with their status and results.

Get job data by job ID

Trigger an action on a job: cancel

List all models

Create a new model

Get multiple models by their modelIds

List all public models

Get the details of the given modelId

Get the details of the given modelId, including its training status and training progress if available

Update the given modelId

Delete a model

Copy the given modelId to a new model, thumbnail, presets, and all of its training images and pairs if any

Get the description of the given modelId

Update the markdown description of the given modelId

Request a link to download the given modelId

List all examples of the given modelId

Add/delete/sort examples of the given modelId

Delete an image

List all presets for the given modelId

Create a new preset for the given modelId

Modify the given presetId

Delete a preset for the given modelId

Get the prompt scores for the given modelId

Get the training dataset scores for the given modelId

Add/delete tags for the given modelId

Trigger the given modelId training

Trigger an action on a model training: cancel

Add a new training image to the given modelId

Replace all training image pairs for the given modelId

Replace the given trainingImageId for the given modelId

Delete the given trainingImageId from the given modelId

Transfer (with a copy or a full ownership change) a model to a new owner, including all of its training images

Get the public Prepaid Compute Units (or OSCU for One Shot Compute Units) price details

List recommended models matching the given filters

Search for assets. At least one of the following fields must have a value: query, filter, image, or images.

image, images are mutually exclusive.

Search for models. At least one of the following fields must have a value: query, filter, image, or images.

image, and images are mutually exclusive.

List all tags in use for the given projectId

Create a temporary upload URL for a file. Support multipart uploads. Return a list of URLs for each part of the file.

Get the details of an existing upload

Trigger an action on upload