Inpainting
Last updated
Last updated
For more detailed information on the workings of this model, please refer to the Inpainting and CleanUp page.
POST /getImagetoImage
Headers
| Name | Value |
|---|---|
Body
| Name | Type | Description |
|---|---|---|
Response
To test this API, please use the following link:
Content-Type
application/json
Authorization
Bearer <token>
app_id
string
-> Each model is uniquely characterized by its own app_id.
image
string
-> The image parameter specifies the URL of an existing image that will be used as a reference for the generation process.
-> If the original image dimensions exceed 1536x1536 pixels, the image will be adjusted to fit within this size while preserving the original aspect ratio.
mask_url
string
-> The mask_url parameter is used for providing image mask. It specifies a binary mask image that defines the regions of the input image that should be inpainted.
-> The mask image should have the same dimensions as the input image, with white pixels indicating the areas to be inpainted, and black pixels representing the areas to be preserved.
prompt
string
-> The prompt parameter is the textual input that guides the image generation process. This prompt serves as an artistic compass, shaping the visual output.
batch
int
-> The batch parameter allows you to specify the number of images to generate at once.
-> The valid range for this parameter is between 1 and 8.
negative_prompt
string
-> The negative_prompt parameter allows you to specify content that you want the image generation model to avoid or minimize in the output. This can be useful for excluding certain visual elements or styles that you do not want to be present in the generated image.
celery
bool
-> The celery parameter is used for queuing tasks that require extended processing time. When you enqueue a task, you receive a unique task_id. This task_id allows you to check the task's status later using the task status API, which is useful for managing and tracking long-running tasks.