CCSR Upscaler

Color Fix Type

The text prompt you would like to convert to speech.

Image Url

The scale of the output image. The higher the scale, the bigger the output image will be.

Scale

Seed for reproducibility. Different seeds will make slightly different results.

Seed

The number of steps to run the model for. The higher the number the better the quality and longer it will take to generate.

Steps

The ending point of uniform sampling strategy.

T Max

The starting point of uniform sampling strategy.

T Min

If specified, a patch-based sampling strategy will be used for sampling.

Tile Diffusion

Tile Diffusion Size

Tile Diffusion Stride

If specified, a patch-based sampling strategy will be used for VAE decoding.

Tile Vae

Tile Vae Decoder Size

Tile Vae Encoder Size

CCSRInput

Image

CCSROutput

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

Location

Message

Error Type

ValidationError

FastAPI

Face

Radius

BlurMaskInput

BlurMaskOutput

High threshold for the hysteresis procedure

High Threshold

Low threshold for the hysteresis procedure

Low Threshold

CannyInput

Color

Compare Text

Text to return if the input text does not match the compare text

Fail Text

Text to return if the input text matches the compare text

Return Text

Text

CompareTextInput

Background Image Url

Mask Image Url

Overlay Image Url

CompositeImageInput

Bbox

Det Score

Embedding File

Kps Image

FaceDetection

File

Pixels

The threshold to convert the image to a mask. 0-255.

Threshold

GrowMaskInput

GrowMaskOutput

ImageInput

ImageOutput

Image Size

ImageSizeOutput

Template

InsertTextInput

Det Size Height

Det Size Width

Max Face Num

Model Url

Sorting

Sync Mode

InsightfaceInput

Faces

InsightfaceOutput

InvertMaskOutput

MaskInput

Color to replace the transparent pixels with

Transparent Color

RGBAToRGBImageInput

Pattern

Replace

RegexReplaceInput

Position of cropping. Only used when mode is 'crop', default is center

Cropping Position

Mode

Color of padding. Only used when mode is 'pad', default is black

Padding Color

Resizing strategy. Only used when mode is 'scale', default is nearest

Resampling

Proportions of the image. Only used when mode is 'scale', default is fit

Scaling Proportions

ResizeImageInput

If set, the output dimensions will be divisible by this value.

Enforce Divisibility

Maximum number of pixels in the output image.

Max Pixels

ResizeToPixelsInput

ShrinkMaskInput

ShrinkMaskOutput

TeedInput

TeedOutput

TextOutput

The threshold to convert the image to a mask.

TransparentImageToMaskInput

TransparentImageToMaskOutput

Realistic Vision

URL or the path to the embedding weights.

Path

The list of tokens to use for the embedding.

Tokens

Embedding

ImageSize

URL or the path to the LoRA weights. Or HF model name.


            The scale of the LoRA weight. This is used to scale the LoRA weight
            before merging it with the base model.
        

LoraWeight

Whether the generated images contain NSFW concepts.

Has Nsfw Concepts

Images

The prompt used for generating the image.

Prompt


            Seed of the generated Image. It will be the same value of the one passed in the
            input or the randomly generated that was used in case none was passed.
        

Timings

Output

Embeddings

If set to true, the safety checker will be enabled.

Enable Safety Checker

If set to true, the prompt will be expanded with additional prompts.

Expand Prompt

Format


            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.
        

Guidance scale (CFG)

The URL of the image to use as a starting point for the generation.

Loras

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

Num Images

The number of inference steps to perform.

Num Inference Steps

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

The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.

Safety Checker Version


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

determines how much the generated image resembles the initial image

Strength


            If set to true, the function will wait for the image to be generated and uploaded
            before returning the response. This will increase the latency of the function but
            it allows you to get the image directly in the response without going through the CDN.
        

RealisticVisionImageToImageInput

The URL of the mask to use for inpainting.

Mask Url

RealisticVisionInpaintingInput

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.

Guidance Scale

The negative prompt to use. Use it to address details that you don't want in the image.

RealisticVisionTextToImageInput

Resize Image

Run Any Stable Diffusion model with customizable LoRA weights.

Stable Diffusion with LoRAs


            The scale of the control net weight. This is used to scale the control net weight
            before merging it with the base model.
        

Conditioning Scale

optional URL to the controlnet config.json file.

Config Url


            The percentage of the image to end applying the controlnet in terms of the total timesteps.
        

End Percentage

URL of the image to be used as the control net.


            The index of the IP adapter to be applied to the controlnet. This is only needed for InstantID ControlNets.
        

Ip Adapter Index


            The mask to use for the controlnet. When using a mask, the control image size and the mask size must be the same and divisible by 32.
        

URL or the path to the control net weights.


            The percentage of the image to start applying the controlnet in terms of the total timesteps.
        

Start Percentage

The optional variant if a Hugging Face repo key is used.

Variant

ControlNet


            The tokens to map the embedding weights to. Use these tokens in your prompts.
        


            The value to set the image projection shortcut to. For FaceID plus V1 models,
            this should be set to False. For FaceID plus V2 models, this should be set to True.
            Default is True.
        

Image Projection Shortcut

URL or the path to the InsightFace model weights.

Insight Face Model Path

URL of the image to be used as the IP adapter.

Ip Adapter Image Url


            The mask to use for the IP adapter. When using a mask, the ip-adapter image size and the mask size must be the same
        

Ip Adapter Mask Url

Subfolder in the model directory where the IP adapter weights are stored.

Model Subfolder

URL or the path to the IP adapter weights.


            The scale of the IP adapter weight. This is used to scale the IP adapter weight
            before merging it with the base model.
        

Scale Json

The factor to apply to the unconditional noising of the IP adapter.

Search

Input

Result

Logs