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zf-kbot /object-remover-20251030:77061e4f
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
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}