API Endpoints

/generate/img2img-texture

post
https://api.cloud.scenario.com/v1/generate/img2img-texture

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

Query Params
string

If set to true, returns the original asset without transformation

string
Body Params
string

The input image as a data URL (example: "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVQYV2NgYAAAAAMAAWgmWQ0AAAAASUVORK5CYII=") or the asset ID (example: "asset_GTrL3mq4SXWyMxkOHRxlpw")

string

Deprecated: The input image as an AssetId. Prefer to use image with the asset ID instead.

string

Used to reproduce previous results. Default: randomly generated number.

number
0.01 to 1

Controls the noise intensity introduced to the input image, where a value of 1.0 completely erases the original image's details. Available for img2img and inpainting. (within [0.01, 1.0], default: 0.75)

string
required

The model id to use for the inference

string

The epoch of the model to use for the inference. Only available for Flux Lora Trained models.

boolean
Defaults to false

If set, generated assets will be hidden and not returned in the list of images of the inference or when listing assets (default: false)

string

The mask as an AssetId. Will be ignored if the image parameter is provided

string

The prompt not to guide the image generation, ignored when guidance < 1 (example: "((ugly face))") For Flux based model (not Fast-Flux): requires negativePromptStrength > 0 and active only for inference types txt2img / img2img / controlnet.

string
enum

The scheduler to use to override the default configured for the model. See detailed documentation for more details.

boolean
Defaults to false

Enable or disable the intermediate images generation (default: false)

concepts
array of objects
concepts
number
0 to 20

Controls how closely the generated image follows the prompt. Higher values result in stronger adherence to the prompt. Default and allowed values depend on the model type:

  • For Flux dev models, the default is 3.5 and allowed values are within [0, 10]
  • For Flux pro models, the default is 3 and allowed values are within [2, 5]
  • For SDXL models, the default is 6 and allowed values are within [0, 20]
  • For SD1.5 models, the default is 7.5 and allowed values are within [0, 20]
number
1 to 150

The number of denoising steps for each image generation (within [1, 150], default: 30)

number
1 to 128

The number of images to generate (within [1, 128], default: 4)

number
64 to 2048

The width of the generated images, must be a 8 multiple (within [64, 2048], default: 512) If model.type is sd-xl, sd-xl-lora, sd-xl-composition the width must be within [512, 2048] If model.type is sd-1_5, the width must be within [64, 1024] If model.type is flux.1.1-pro-ultra, you can use the aspectRatio parameter instead

string

Specifies the parent asset Id for the image when provided as a dataurl.

number
0 to 10

Only applicable for flux-dev based models for txt2img, img2img, and controlnet inference types.

Controls the influence of the negative prompt. Default 0 means the negative prompt has no effect. Higher values increase negative prompt influence. Must be > 0 if negativePrompt is provided.

string

The base model to use for the inference. Only Flux LoRA models can use this parameter. Allowed values are available in the model's attribute: compliantModelIds

string
required

Full text prompt including the model placeholder. (example: "an illustration of phoenix in a fantasy world, flying over a mountain, 8k, bokeh effect")

number
64 to 2048

The height of the generated images, must be a 8 multiple (within [64, 2048], default: 512) If model.type is sd-xl, sd-xl-lora, sd-xl-composition the height must be within [512, 2048] If model.type is sd-1_5, the height must be within [64, 1024] If model.type is flux.1.1-pro-ultra, you can use the aspectRatio parameter instead

boolean
Defaults to false

Toggles the hidden status of the image when provided as a dataurl.

string

The mask as a data URL, used to determine the area of change. The mask is a binary mask made out of white and black pixels. The white area is the one that will be replaced. (example: "data:image/png;base64,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")

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Updated 5 months ago

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Updated 5 months ago