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Tools/Automatic1111/vs Fooocus
Automatic1111

Automatic1111

ai-design
vs
Fooocus

Fooocus

ai-design

Automatic1111 vs Fooocus — Comparison

Pain: 1/10015 integrations10 featuresOther
Pain: 1/1002 integrations10 featuresOther
The Bottom Line

Automatic1111 and Fooocus are AI design tools primarily focused on image generation, but they differentiate significantly in user base and feature complexity. Automatic1111 enjoys a significant lead in community engagement with 163,340 GitHub stars compared to Fooocus's 48,042. Both are supported and funded by large companies but differ in pricing models and ease of use.

Best for

Automatic1111 is the better choice when an organization requires advanced capabilities and customization in AI image processing, particularly suited for teams with experienced developers due to its comprehensive but complex setup.

Best for

Fooocus is the better choice when a team needs a more accessible and straightforward tool for AI design, particularly for users who prefer subscription models with tiered pricing, including a free tier.

Key Differences

  • 1.Automatic1111 offers a wide range of integration options, including tools like Google Colab, Slack, and Adobe Photoshop, whereas Fooocus is limited to Colab and Windows.
  • 2.Fooocus has a more beginner-friendly approach with its user interface and supports a freemium pricing model, unlike Automatic1111, which can be complex due to its comprehensive feature set.
  • 3.Automatic1111 allows extensive customization, such as txt2img and img2img modes and 3D plotting, which is suited for developers looking for versatility, while Fooocus focuses on simplifying the art generation process with tuned parameters for ease of use.
  • 4.With 163,340 GitHub stars, Automatic1111 has a larger and more active community, offering more resources for learning and support compared to Fooocus's 48,042 GitHub stars.
  • 5.Fooocus employs automatic parameter adjustments such as CFG Scale and TSNR correction for streamlined results, which may benefit teams seeking efficiency over customization.

Verdict

Both Automatic1111 and Fooocus offer unique strengths for AI-driven image generation. Experienced developers with advanced needs and familiar with complex setups might find Automatic1111's offerings appealing due to its extensive integration options and community support. Conversely, teams seeking a user-friendly, accessible tool with flexible pricing should consider Fooocus. Ultimately, the best choice depends on the organization's specific workflow requirements and user expertise level.

Overview
What each tool does and who it's for

Automatic1111

Stable Diffusion web UI. Contribute to AUTOMATIC1111/stable-diffusion-webui development by creating an account on GitHub.

While there seems to be a lack of direct reviews and social mentions for "Automatic1111" specifically, there is a substantial focus on GitHub Copilot and its related infrastructure within the social media chatter. Automatic1111 is a popular web-based user interface for AI models like Stable Diffusion, with users often praising its comprehensive feature set and customization options which are not fully captured here. Concerns about the tool usually revolve around setup complexity and resource demands. In the context of GitHub mentions, pricing sentiment for tools can be mixed as new usage-based billing models are introduced, which can be seen as a drawback by some users. Overall, tools like Automatic1111 maintain a strong reputation for offering advanced capabilities in the hands of experienced users.

Fooocus

Focus on prompting and generating. Contribute to lllyasviel/Fooocus development by creating an account on GitHub.

Fooocus' overall reputation cannot be accurately determined from the provided reviews and social mentions, as there are no specific reviews or social mentions regarding the software. The social mentions entirely revolve around GitHub updates and security issues, with no direct references or mentions of Fooocus. Therefore, insights into its strengths, user complaints, and pricing sentiment are unavailable from the given data.

Key Metrics
40
Mentions (30d)
34
163,340
GitHub Stars
48,042
30,360
GitHub Forks
7,835
Mention Velocity
How discussion volume is trending week-over-week

Automatic1111

-36% vs last week

Fooocus

+86% vs last week
Where People Discuss
Mention distribution across platforms

Automatic1111

Twitter/X
96%
YouTube
4%

Fooocus

Twitter/X
96%
YouTube
4%
Community Sentiment
How developers feel about each tool based on mentions and reviews

Automatic1111

5% positive95% neutral0% negative

Fooocus

5% positive95% neutral0% negative
Pricing

Automatic1111

tiered

Fooocus

subscription + freemium + tieredFree tier
Use Cases
When to use each tool

Automatic1111 (3)

Now with a license!Reorder elements in the UI from settings screenInstallation and Running

Fooocus (4)

A carefully designed system for balancing multiple styles as well as prompt expansion.The joint swap system of the refiner now also supports img2img and upscale in a seamless way.CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger than 10.Customization
Features

Only in Automatic1111 (10)

Original txt2img and img2img modesOne click install and run script (but you still must install python and git)OutpaintingInpaintingColor SketchPrompt MatrixStable Diffusion UpscaleLoopback, run img2img processing multiple timesX/Y/Z plot, a way to draw a 3 dimensional plot of images with different parametershave as many embeddings as you want and use any names you like for them

Only in Fooocus (10)

We modified the style templates a bit and added the "cinematic-default".We tested the "sd_xl_offset_example-lora_1.0.safetensors" and it seems that when the lora weight is below 0.5, the results are always better than XL without lora.The parameters of samplers are carefully tuned.Separated prompts for two different text encoders seem unnecessary. Separated prompts for the base model and refiner may work, but the effects are random, and we refrain from implementing this.A carefully designed system for balancing multiple styles as well as prompt expansion.Using automatic1111's method to normalize prompt emphasizing. This significantly improves results when users directly copy prompts from civitai.The joint swap system of the refiner now also supports img2img and upscale in a seamless way.CFG Scale and TSNR correction (tuned for SDXL) when CFG is bigger than 10.WindowsColab
Integrations

Only in Automatic1111 (15)

Hugging FaceGoogle ColabDiscordSlackTrelloZapierNotionFigmaAdobe PhotoshopCanvaUnityBlenderMiroJiraAsana

Only in Fooocus (2)

ColabWindows
Developer Ecosystem
43
GitHub Repos
51
17,670
GitHub Followers
21,071
20
npm Packages
3
14
HuggingFace Models
40
Pain Points
Top complaints from reviews and social mentions

Automatic1111

down (7)critical (1)breaking (1)

Fooocus

down (7)critical (1)breaking (1)right now (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

Automatic1111

down (7)critical (1)breaking (1)

Fooocus

down (7)critical (1)breaking (1)right now (1)
Product Screenshots

Automatic1111

Automatic1111 screenshot 1Automatic1111 screenshot 2

Fooocus

Fooocus screenshot 1
What People Talk About
Most discussed topics from community mentions

Automatic1111

open source17
workflow11
agents10
security4
streaming4
performance3
scalability3
model selection3

Fooocus

open source19
agents12
workflow6
security5
performance3
model selection3
api3
deployment2
Top Community Mentions
Highest-engagement mentions from the community

Automatic1111

We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such

We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely

Twitter/Xby @github source

Fooocus

We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such

We are investigating unauthorized access to GitHub’s internal repositories. While we currently have no evidence of impact to customer information stored outside of GitHub’s internal repositories (such as our customers’ enterprises, organizations, and repositories), we are closely

Twitter/Xby @github source
Company Intel
information technology & services
Industry
information technology & services
6,200
Employees
6,200
$7.9B
Funding
$7.9B
Other
Stage
Other
Supported Languages & Categories

Shared (4)

AI/MLFinTechDevOpsSecurity

Only in Automatic1111 (1)

Developer Tools

Only in Fooocus (1)

Analytics
Frequently Asked Questions
Is Automatic1111 or Fooocus better for [specific use case]?▼

Automatic1111 is better for use cases requiring deep customization and integration with various services, while Fooocus is better for users focused on ease of use and straightforward design tasks.

How does Automatic1111 pricing compare to Fooocus?▼

Automatic1111 uses a tiered pricing model which can be complex, while Fooocus offers a subscription plus freemium model, including a free tier, providing more pricing flexibility.

Which has better community support, Automatic1111 or Fooocus?▼

Automatic1111 has better community support, reflected in its higher GitHub star count of 163,340, compared to Fooocus's 48,042, indicating a larger user and contributor base.

Can Automatic1111 and Fooocus be used together?▼

Yes, they can be used together, especially if one tool is preferred for its specific features or integration that complements the other.

Which is easier to get started with, Automatic1111 or Fooocus?▼

Fooocus is generally easier to get started with due to its simpler interface and freemium model, making it more accessible for new users compared to the more complex setup of Automatic1111.

View Automatic1111 Profile View Fooocus Profile