bilateral reference framework (BiRefNet) for high-resolution dichotomous image segmentation (DIS)

Birefnet Background Removal

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

URL of the image to remove background from

Image Url


            Model to use for background removal.
            The 'General Use (Light)' model is the original model used in the BiRefNet repository.
            The 'General Use (Heavy)' model is a slower but more accurate model.
            The 'Portrait' model is a model trained specifically for portrait images.
            The 'General Use (Light)' model is recommended for most use cases.

            The corresponding models are as follows:
            - 'General Use (Light)': BiRefNet-DIS_ep580.pth
            - 'General Use (Heavy)': BiRefNet-massive-epoch_240.pth
            - 'Portrait': BiRefNet-portrait-TR_P3M_10k-epoch_120.pth
        

Model

The resolution to operate on. The higher the resolution, the more accurate the output will be for high res input images.

Operating Resolution

Output Format

Whether to output the mask used to remove the background

Output Mask

Whether to refine the foreground using the estimated mask

Refine Foreground

Input


            Model to use for background removal.
            The 'General Use (Light)' model is the original model used in the BiRefNet repository.
            The 'General Use (Light)' model is the original model used in the BiRefNet repository but trained with 2K images.
            The 'General Use (Heavy)' model is a slower but more accurate model.
            The 'Matting' model is a model trained specifically for matting images.
            The 'Portrait' model is a model trained specifically for portrait images.
            The 'General Use (Light)' model is recommended for most use cases.

            The corresponding models are as follows:
            - 'General Use (Light)': BiRefNet-DIS_ep580.pth
            - 'General Use (Heavy)': BiRefNet-massive-epoch_240.pth
            - 'Portrait': BiRefNet-portrait-TR_P3M_10k-epoch_120.pth
        

InputV2

Mask Image

Output

Location

Message

Error Type

ValidationError

FastAPI

Stable Diffusion XL

URL or the path to the embedding weights.

Path

The list of tokens to use for the embedding.

Tokens

Embedding

ImageSize

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)

Image Size

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

Loras


            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.

Prompt


            An id bound to a request, can be used with response to identify the request
            itself.
        

Request Id

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.
        

Seed

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.
        

Sync Mode

ImageToImageInput

The URL of the mask to use for inpainting.

Mask Url

InpaintingInput

If set to true, the embedding will be forced to be used.

Force

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.
        

Scale

LoraWeight

Whether the generated images contain NSFW concepts.

Has Nsfw Concepts

Images

The prompt used for generating the image.


            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


            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).
        

Search

Input

Result

Logs