zf-kbot/object-remover-20251030

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Run zf-kbot/object-remover-20251030 with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
image	string		Base image to edit.
mask	string		Mask image (white = area to edit).
preprocessing_resolution	None	720p	Downscale images to target resolution for faster inference (original = no downscaling)
num_inference_steps	integer	10 Min: 1 Max: 100	Number of diffusion steps.
prompt	string	Remove the object and restore background seamlessly.	Positive prompt.
negative_prompt	string	text, watermark, logo, artifacts, patterns, distorted edges, blurry texture, extra object, unnatural shadow, duplicated area, unrealistic lighting	Negative prompt used for guidance.
task	None	object_removal	Task preset (auto fill prompt if blank).
transformer_variant	None	one_reward	Choose the released OneReward transformer.
guidance_scale	number	1.4 Max: 20	Classifier-free guidance scale.
true_cfg	number	4 Max: 10	True-CFG weight inside pipeline.
seed	integer	0	Random seed (-1 for random).
apply_object_removal_lora	None	1	Enable object-removal LoRA ("0" = off, "1" = on).
lora_weight	number	1 Max: 2	LoRA adapter weight.
enable_crop_optimization	None	disabled	Crop to masked region for faster inference
crop_padding	integer	128 Max: 512	Padding around masked region when cropping (pixels)
auto_config_mode	None	disabled	Auto-tune object removal parameters based on mask and presets.
auto_remove_type	None	general	Content type being removed when auto config is enabled.
auto_quality_mode	None	balanced	Quality profile for auto configuration.
auto_mask_ratio_override	number	-1 Min: -1 Max: 1	Override mask area ratio (0-1). Set <0 to use auto-computed ratio.
auto_config_overrides	string		JSON overrides for auto configuration (advanced).
log_level	None	debug	Log level: 'info' for key info, 'debug' for detailed logs

{
  "type": "object",
  "title": "Input",
  "required": [
    "image"
  ],
  "properties": {
    "mask": {
      "type": "string",
      "title": "Mask",
      "format": "uri",
      "x-order": 1,
      "nullable": true,
      "description": "Mask image (white = area to edit)."
    },
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": 0,
      "x-order": 10,
      "description": "Random seed (-1 for random)."
    },
    "task": {
      "enum": [
        "custom",
        "image_fill",
        "extend_with_prompt",
        "extend_without_prompt",
        "object_removal"
      ],
      "type": "string",
      "title": "task",
      "description": "Task preset (auto fill prompt if blank).",
      "default": "object_removal",
      "x-order": 6
    },
    "image": {
      "type": "string",
      "title": "Image",
      "format": "uri",
      "x-order": 0,
      "description": "Base image to edit."
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "Remove the object and restore background seamlessly.",
      "x-order": 4,
      "description": "Positive prompt."
    },
    "true_cfg": {
      "type": "number",
      "title": "True Cfg",
      "default": 4,
      "maximum": 10,
      "minimum": 0,
      "x-order": 9,
      "description": "True-CFG weight inside pipeline."
    },
    "log_level": {
      "enum": [
        "info",
        "debug"
      ],
      "type": "string",
      "title": "log_level",
      "description": "Log level: 'info' for key info, 'debug' for detailed logs",
      "default": "debug",
      "x-order": 20
    },
    "lora_weight": {
      "type": "number",
      "title": "Lora Weight",
      "default": 1,
      "maximum": 2,
      "minimum": 0,
      "x-order": 12,
      "description": "LoRA adapter weight."
    },
    "crop_padding": {
      "type": "integer",
      "title": "Crop Padding",
      "default": 128,
      "maximum": 512,
      "minimum": 0,
      "x-order": 14,
      "description": "Padding around masked region when cropping (pixels)"
    },
    "guidance_scale": {
      "type": "number",
      "title": "Guidance Scale",
      "default": 1.4,
      "maximum": 20,
      "minimum": 0,
      "x-order": 8,
      "description": "Classifier-free guidance scale."
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "text, watermark, logo, artifacts, patterns, distorted edges, blurry texture, extra object, unnatural shadow, duplicated area, unrealistic lighting",
      "x-order": 5,
      "description": "Negative prompt used for guidance."
    },
    "auto_config_mode": {
      "enum": [
        "disabled",
        "enabled"
      ],
      "type": "string",
      "title": "auto_config_mode",
      "description": "Auto-tune object removal parameters based on mask and presets.",
      "default": "disabled",
      "x-order": 15
    },
    "auto_remove_type": {
      "enum": [
        "general",
        "watermark",
        "logo",
        "text",
        "person",
        "clothes",
        "object",
        "blemish"
      ],
      "type": "string",
      "title": "auto_remove_type",
      "description": "Content type being removed when auto config is enabled.",
      "default": "general",
      "x-order": 16
    },
    "auto_quality_mode": {
      "enum": [
        "fast",
        "balanced",
        "quality"
      ],
      "type": "string",
      "title": "auto_quality_mode",
      "description": "Quality profile for auto configuration.",
      "default": "balanced",
      "x-order": 17
    },
    "num_inference_steps": {
      "type": "integer",
      "title": "Num Inference Steps",
      "default": 10,
      "maximum": 100,
      "minimum": 1,
      "x-order": 3,
      "description": "Number of diffusion steps."
    },
    "transformer_variant": {
      "enum": [
        "one_reward",
        "one_reward_dynamic"
      ],
      "type": "string",
      "title": "transformer_variant",
      "description": "Choose the released OneReward transformer.",
      "default": "one_reward",
      "x-order": 7
    },
    "auto_config_overrides": {
      "type": "string",
      "title": "Auto Config Overrides",
      "default": "",
      "x-order": 19,
      "description": "JSON overrides for auto configuration (advanced)."
    },
    "auto_mask_ratio_override": {
      "type": "number",
      "title": "Auto Mask Ratio Override",
      "default": -1,
      "maximum": 1,
      "minimum": -1,
      "x-order": 18,
      "description": "Override mask area ratio (0-1). Set <0 to use auto-computed ratio."
    },
    "enable_crop_optimization": {
      "enum": [
        "enabled",
        "disabled"
      ],
      "type": "string",
      "title": "enable_crop_optimization",
      "description": "Crop to masked region for faster inference",
      "default": "disabled",
      "x-order": 13
    },
    "preprocessing_resolution": {
      "enum": [
        "original",
        "720p",
        "960p",
        "1080p",
        "2k"
      ],
      "type": "string",
      "title": "preprocessing_resolution",
      "description": "Downscale images to target resolution for faster inference (original = no downscaling)",
      "default": "720p",
      "x-order": 2
    },
    "apply_object_removal_lora": {
      "enum": [
        "0",
        "1"
      ],
      "type": "string",
      "title": "apply_object_removal_lora",
      "description": "Enable object-removal LoRA (\"0\" = off, \"1\" = on).",
      "default": "1",
      "x-order": 11
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}