Skill

list-rmbg-models

Use when the user wants to know which rembg models are available and which to pick for their use case.

npx claudepluginhub danielrosehill/claude-code-plugins --plugin background-removal

Tool Access

This skill uses the workspace's default tool permissions.

Preview

Displays available rembg models with descriptions of speed, quality, and best-use scenarios. Mostly a static reference; if available, also shows the output of `rembg list-models`.

SKILL.md

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Last CommitApr 30, 2026

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List Rembg Models

Displays available rembg models with descriptions of speed, quality, and best-use scenarios. Mostly a static reference; if available, also shows the output of rembg list-models.

When to use

User is considering switching models via configure-rmbg

User wants to understand the trade-offs (speed vs. quality) before trying a model

Inputs to gather

None — this is a reference skill.

Procedure

Print the built-in model guide (see below).

Optionally, run rembg list-models (if available on PATH) and append its output.

Remind user that model is set in ~/.config/quick-rmbg/config.json and can be changed via configure-rmbg.

Output / side effects

Displays a reference table and optional CLI output.

No files modified.

Model reference

Model

Speed

Quality

Best for

Notes

u2net

Good

General use

Default, balanced, well-tested

u2netp

Fast

Fair

Quick preview, mobile

Smaller/faster, slightly lower quality

u2net_human_seg

Good

Excellent

People, portraits

Specialized for human subjects

silueta

Good

Alternative general

Similar to u2net, different training data

isnet-general-use

Slower

Excellent

High-quality general

Often best quality for varied subjects

birefnet-general

Slowest

Excellent

Best edges

Newer, slower, often best for fine details (hair, fur)

Safety / constraints

Model selection is for preview/testing; user can revert to default in config if unhappy.

Slower models require more GPU memory; CPU falls back gracefully.

List Rembg Models

Displays available rembg models with descriptions of speed, quality, and best-use scenarios. Mostly a static reference; if available, also shows the output of rembg list-models.

When to use

User is considering switching models via configure-rmbg
User wants to understand the trade-offs (speed vs. quality) before trying a model

Inputs to gather

None — this is a reference skill.

Procedure

Print the built-in model guide (see below).
Optionally, run rembg list-models (if available on PATH) and append its output.
Remind user that model is set in ~/.config/quick-rmbg/config.json and can be changed via configure-rmbg.

Output / side effects

Displays a reference table and optional CLI output.
No files modified.

Model reference

Model	Speed	Quality	Best for	Notes
`u2net`	Good	Good	General use	Default, balanced, well-tested
`u2netp`	Fast	Fair	Quick preview, mobile	Smaller/faster, slightly lower quality
`u2net_human_seg`	Good	Excellent	People, portraits	Specialized for human subjects
`silueta`	Good	Good	Alternative general	Similar to u2net, different training data
`isnet-general-use`	Slower	Excellent	High-quality general	Often best quality for varied subjects
`birefnet-general`	Slowest	Excellent	Best edges	Newer, slower, often best for fine details (hair, fur)

Safety / constraints

Model selection is for preview/testing; user can revert to default in config if unhappy.
Slower models require more GPU memory; CPU falls back gracefully.