Upscale Images

Detail

HTTPValidationError

Content Type

File Data

The name of the file. It will be auto-generated if not provided.

File Name

File Size

Height

The URL where the file can be downloaded from.

Width

Image

Face

Image Url

Model

Output Format

Scale

Tile size. Default is 0, that is no tile. When encountering the out-of-GPU-memory issue, please specify it, e.g., 400 or 200

Tile

UpscaleInput

UpscaleOutput

Location

Message

Error Type

ValidationError

FastAPI

instantid

The scale of the controlnet conditioning.

Controlnet Conditioning Scale

Type of the ControlNet. If not provided, ControlNets will not be used.

Controlnet Selection

Whether to enhance the face region or not.

Enhance Face Region

The image of the person you want to generate.

Face Image Url


            The CFG (Classifier Free Guidance) scale is a measure of how close you want
            the model to stick to your prompt when looking for a related image to show you.
            If using LCM scheduler, use a value in the range of 0.1 to 2.0 for best results.
        

Guidance scale (CFG)

The scale of the controlnet conditioning (increase to preserve identity). This only affects the identity controlnet. 

Identity Controlnet Conditioning Scale

The scale of the IP adapter (increase to improve details).

Ip Adapter Scale


            The link of the model to use for generating the image.
            If not provided, the default model will be used.
            Only SDXL models are supported.
        

Model Name


            The negative prompt to use.Use it to address details that you don't want
            in the image. This could be colors, objects, scenery and even the small details
            (e.g. moustache, blurry, low resolution).
        

Negative Prompt


            Increasing the amount of steps tells Stable Diffusion that it should take more steps
            to generate your final result which can increase the amount of detail in your image.
            If using LCM scheduler, use a value in the range of 1 to 12 for best results.
        

Number of inference steps

The prompt to use for generating the image. Be as descriptive as possible for best results.

Prompt


            The same seed and the same prompt given to the same version of Stable Diffusion
            will output the same image every time.
        

Seed

InstantIDInput

InstantIDLCMInput

InstantIDOutput

Whether to enable Latent Consistency Model (LCM) scheduler or not.

Enable Lcm

LegacyInstantIDInput

The scale of the controlnet conditioning. Default value: `0.4`

controlnet_conditioning_scale

Type of the ControlNet. If not provided, ControlNets will not be used. Default value: `"canny"`

controlnet_selection

ControlnetSelectionEnum

Whether to enhance the face region or not. Default value: `true`

enhance_face_region

face_image_url

The CFG (Classifier Free Guidance) scale is a measure of how close you want
the model to stick to your prompt when looking for a related image to show you.
If using LCM scheduler, use a value in the range of 0.1 to 2.0 for best results. Default value: `1.5`

guidance_scale

The scale of the controlnet conditioning (increase to preserve identity). This only affects the identity controlnet. Default value: `0.7`

identity_controlnet_conditioning_scale

The scale of the IP adapter (increase to improve details). Default value: `0.7`

ip_adapter_scale

The link of the model to use for generating the image.
If not provided, the default model will be used.

model_name

The negative prompt to use.Use it to address details that you don't want
in the image. This could be colors, objects, scenery and even the small details
(e.g. moustache, blurry, low resolution). Default value: `""`

negative_prompt

Increasing the amount of steps tells Stable Diffusion that it should take more steps
to generate your final result which can increase the amount of detail in your image.
If using LCM scheduler, use a value in the range of 1 to 12 for best results. Default value: `5`

num_inference_steps

prompt

The same seed and the same prompt given to the same version of Stable Diffusion
will output the same image every time.

Search

Input

Result

Logs