Fooocus vs Stable Diffusion web UI (AUTOMATIC1111) vs InvokeAI

Side by side, as alternatives to Adobe Firefly. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.

Fooocuslllyasviel/Fooocus

Stable Diffusion web UI (AUTOMATIC1111)AUTOMATIC1111/stable-diffusion-webui

InvokeAIinvoke-ai/InvokeAI

Adobe Fireflypaid product

Cost and coverage

Price

$0 software; you run it

Free daily generations; paid plans from US$9.99/month (2,000 generative credits) source ↗

Text-to-image

Partly

Yes

Image editing (generative fill and expand)

Partly

Yes

Style and image reference

Partly

Yes

Jobs covered

3 of 3 jobs

2 of 3 jobs

All 3

Popularity and activity (from GitHub)

Stars

53,615

165,083Top

28,793

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

896Top

—

Latest release

v2.5.5 · 2024-08-12

v1.10.1 · 2025-02-09

v6.14.2 · 2026-09-27Top

—

Commits / 12 wk

1,890

—

People committing / 12 mo

77+

—

Issues opened / closed, 30 days

1 / 0

6 / 2

146 / 207

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, offline

Yes, local web UI

Yes, local web server and UI

Hosted by the vendor

Code licenceDiffers

GPL-3.0 (copyleft)

AGPL-3.0 (copyleft)

Apache-2.0

—

Model weights licenceDiffers

Default Juggernaut XL v8 is tagged CreativeML OpenRAIL-M (use restrictions)

Default download is SD 1.5 (CreativeML OpenRAIL-M, use restrictions)

No single default model; licence depends on the model you install

—

Commercial useDiffers

GPL-3.0 code + OpenRAIL-M weights; README calls it non-commercial software

AGPL-3.0 code; SD 1.5 OpenRAIL-M allows commercial use with restrictions

Apache-2.0 code; weights vary (SD3.5 community licence, FLUX.1-dev non-commercial)

—

Paid services needed?Differs

None required

None required; some models are API-only (GPT Image, Nano Banana, Wan)

Subscription

HardwareDiffers

4GB NVIDIA VRAM + 8GB RAM; CPU-only needs 32GB RAM (~17x slower)

4GB GPU supported (reports of 2GB); NVIDIA recommended

SD1.5 4GB VRAM/8GB RAM; SDXL 8GB/16GB; FLUX.1 10GB/32GB

—

Operating systemsDiffers

Windows, Linux; macOS unofficial and not intensively tested

Windows, Linux; Apple Silicon via wiki guide

Windows 10+, macOS 14+ (Apple Silicon), Linux

—

Setup effortDiffers

Easy on Windows, download 7z and run run.bat; models auto-download

Medium; needs Python 3.10.6 and git, then a run script

Easy, official Invoke Launcher

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

Fooocus
Stable Diffusion web UI (AUTOMATIC1111)
InvokeAI

Focus a point, use arrow keys, or tap for its value.

Tracked daily since 15 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.

Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.

Notes for a video or post

A plain summary with today's date and a link to the sources. Check each project page before you publish.

Fooocus vs Stable Diffusion web UI (AUTOMATIC1111) vs InvokeAI (as alternatives to Adobe Firefly)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=fooocus,stable-diffusion-webui,invokeai&product=adobe-firefly

Adobe Firefly: Free daily generations; paid plans from US$9.99/month (2,000 generative credits)
Fooocus: free software; does 3 of 3 Adobe Firefly jobs
Stable Diffusion web UI (AUTOMATIC1111): free software; does 2 of 3 Adobe Firefly jobs
InvokeAI: free software; does 2 of 3 Adobe Firefly jobs

- Fooocus: 53,615 GitHub stars, 0 commits in 12 weeks, licence GPL-3.0 (copyleft)
- Stable Diffusion web UI (AUTOMATIC1111): 165,083 GitHub stars, 0 commits in 12 weeks, licence AGPL-3.0 (copyleft)
- InvokeAI: 28,793 GitHub stars, 1,890 commits in 12 weeks, licence Apache-2.0

Where they differ:
- Runs on my machine?: Fooocus Yes, offline; Stable Diffusion web UI (AUTOMATIC1111) Yes, local web UI; InvokeAI Yes, local web server and UI
- Code licence: Fooocus GPL-3.0 (copyleft); Stable Diffusion web UI (AUTOMATIC1111) AGPL-3.0 (copyleft); InvokeAI Apache-2.0
- Model weights licence: Fooocus Default Juggernaut XL v8 is tagged CreativeML OpenRAIL-M (use restrictions); Stable Diffusion web UI (AUTOMATIC1111) Default download is SD 1.5 (CreativeML OpenRAIL-M, use restrictions); InvokeAI No single default model; licence depends on the model you install
- Commercial use: Fooocus GPL-3.0 code + OpenRAIL-M weights; README calls it non-commercial software; Stable Diffusion web UI (AUTOMATIC1111) AGPL-3.0 code; SD 1.5 OpenRAIL-M allows commercial use with restrictions; InvokeAI Apache-2.0 code; weights vary (SD3.5 community licence, FLUX.1-dev non-commercial)
- Paid services needed?: Fooocus None required; Stable Diffusion web UI (AUTOMATIC1111) None required; InvokeAI None required; some models are API-only (GPT Image, Nano Banana, Wan)
- Hardware: Fooocus 4GB NVIDIA VRAM + 8GB RAM; CPU-only needs 32GB RAM (~17x slower); Stable Diffusion web UI (AUTOMATIC1111) 4GB GPU supported (reports of 2GB); NVIDIA recommended; InvokeAI SD1.5 4GB VRAM/8GB RAM; SDXL 8GB/16GB; FLUX.1 10GB/32GB
- Operating systems: Fooocus Windows, Linux; macOS unofficial and not intensively tested; Stable Diffusion web UI (AUTOMATIC1111) Windows, Linux; Apple Silicon via wiki guide; InvokeAI Windows 10+, macOS 14+ (Apple Silicon), Linux
- Setup effort: Fooocus Easy on Windows, download 7z and run run.bat; models auto-download; Stable Diffusion web UI (AUTOMATIC1111) Medium; needs Python 3.10.6 and git, then a run script; InvokeAI Easy, official Invoke Launcher

Stars show popularity, not quality. Check each project page before publishing.

Want share images and a ready video description? Open a project's creator kit.

Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. lllyasviel/Fooocus ↗AUTOMATIC1111/stable-diffusion-webui ↗invoke-ai/InvokeAI ↗

Fooocus vs Stable Diffusion web UI (AUTOMATIC1111) vs InvokeAI

Stars over time

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