Hey everyone,

First of all — huge thank you to everyone who participated in Community question #3.

I really didn’t expect so many detailed, thoughtful answers!

I haven’t replied to every single comment (it would literally take forever), but I read all of them. Seriously, thank you — I love everyone who took the time to share. 🩷

Originally, I asked those questions just to better understand the community. My plan was to make a quick summary of the comments, like I usually do. But after seeing how much effort you all put in, I felt it deserved more than that.

So I decided to turn it into proper analytics.

Of course, there’s no guarantee the Civitai leadership will read this. There’s even less chance they’ll want to act on it, and even less that they’ll actually be able to change things. But if I didn’t at least try, I’d feel like I was betraying all your effort.

(And yes — the analytics were generated with ChatGPT. I’m not crazy enough to crunch all that manually 😂 I compiled it from multiple targeted requests.)

I added a table of contents so it’s easier to navigate. There are four main sections:

• Overall Summary

• Summary by question

• Free vs Paid users

• Sales funnel step-by-step recommendations

Overall Summary

Overall picture: users mostly treat Civitai as a hybrid of model hub + creator community + lightweight generation/training platform. Most people did not come for “community” first, but many stayed because of it. The biggest positives are convenience, model availability, and relative openness. The biggest negatives are bugs, bots, and trust/management issues.

Biggest insights

The three biggest insights I’d pull from these comments are:

1. Civitai’s core acquisition engine is utility, not brand.
   Most people did not arrive because they wanted “Civitai” specifically. They came because they were trying to solve a job: find checkpoints, LoRAs, guides, metadata, NSFW-capable generation, or a workable path into local SD workflows. That means the platform’s strongest top-of-funnel asset is being the default resource hub for AI image creators.

2. What keeps people is no longer just tooling — it is the combination of ecosystem + community.
   A lot of users first came for models or generation, but many stayed because Civitai became their place to post, browse, follow creators, train LoRAs, store work, get feedback, and feel part of a scene. Even users who complain heavily often still stay because there is no equally complete alternative with the same mix of resource library, creator activity, and social presence. In other words, Civitai is not just a tool repository anymore; it is a creative home base for many users.

3. The biggest threats are trust and fairness, not just feature gaps.
   The strongest negative theme is not “the site needs feature X.” It is frustration with bugs, weak discovery, botting, manipulated visibility, payment problems, policy changes, and the feeling that creators are not treated fairly or promoted well. Users can tolerate limitations, but they react much more strongly when they feel the platform is unreliable, unfair, or poorly managed. That is the clearest churn risk.

Summary by question

1) How did users find Civitai?

Main trend: they found it while learning AI image generation, not because of brand loyalty.

Most common discovery paths:

• Searching for models / LoRAs / checkpoints for Stable Diffusion, SDXL, Pony, Foocus, A1111, Forge, ComfyUI, Stability Matrix

• Google / Reddit / guides / YouTube tutorials / articles

• Discord groups / friends / community recommendations

• Trying multiple AI image sites during the early image-gen boom

• Looking specifically for NSFW-capable generation or model sources

Summary: Civitai is primarily discovered as an infrastructure/resource site, not as a social network.

2) What made users sign up?

Main trend: access and utility.

Top signup reasons:

• To download restricted models / NSFW models

• To use the on-site generator

• To post/upload their own images, LoRAs, or models

• To train LoRAs

• To get access to full sample galleries / metadata / site features

Secondary reasons:

• Curiosity

• Easier than local generation on weak hardware

• Buzz / rewards / challenges / cosmetics

Summary: People signed up mostly because anonymous browsing wasn’t enough; they wanted to do something, not just look.

3) Why are users still on Civitai?

This is the strongest question in the dataset. The repeated answer is:

Users stay for 5 core reasons:

1. Best library of models / LoRAs / checkpoints

   • By far the most repeated reason

   • Especially important for local-generation users

2. Community / friends / feedback / emotional attachment

   • Many users explicitly said this became more important over time

   • Several said they stayed despite frustration because of the people

3. Relative openness, especially around NSFW

   • Many users see Civitai as one of the few places that still allows this mix of content, posting, and sharing

4. Convenience of integrated tools

   • On-site generator

   • LoRA trainer

   • Stability Matrix integration

   • API/model access

   • Metadata storage and profile archive

5. UI / usability / habit

   • Several users said other sites feel worse, more confusing, or less usable

   • Some are there partly from inertia, but still see Civitai as the least bad all-in-one option

Other recurring “stay” reasons:

• Can’t run strong local hardware

• Good place to store work and prompts

• Bounties/articles/challenges

• Easy way to experiment and learn from others’ prompts/settings

Summary: Civitai still wins because it is the default practical hub. Even annoyed users often say there is no clearly better replacement.

4) If users paid, why?

This split is clear: many never paid, but those who did usually paid for very practical reasons.

Main payment motives:

• Support the platform

• More generation / more buzz / more throughput

• LoRA training

• Membership perks / convenience / priority

• Cosmetics / decorations / featured placement / bounties

Important nuance:

• Quite a few users said they would have paid more or planned to pay, but payment access was blocked or became difficult.

• Some users paid once to test it, then stopped because they switched to local generation.

Summary: Paying was usually driven by either:

• “I use this enough to support it”

• or “I need more compute / training / buzz”

5) If users want to leave, why?

This is where the negatives cluster very hard.

Most common leave reasons:

1. Bugs / instability / poor performance

   • broken likes

   • feed issues

   • notifications

   • posting problems

   • slow or unreliable site behavior

2. Bots / fake engagement / manipulated visibility

   • fake followers

   • botted reactions

   • broken trust in leaderboard/ranking systems

3. Policy / moderation / NSFW restrictions / TOS changes

   • many users dislike the direction of restrictions

   • some feel the site is becoming less aligned with what they joined for

4. Poor communication / management decisions

   • repeated complaints about how changes were announced or handled

   • payment processor situation and policy changes came up a lot

5. Weak artist discovery / promotion

   • users feel it’s hard for creators to get seen fairly

   • especially compared with DeviantArt, Pixiv, or other art-first platforms

Less common but notable:

• Payment limitations

• Fear of ID verification / loss of anonymity

• Better alternatives for posting art

• Once they upgrade GPU, they may only use Civitai as a model source

Summary: Users usually do not want to leave because the concept is bad. They want to leave because the execution feels unreliable, unfair, or increasingly restrictive.

The 5 things users most like about Civitai

1. Huge model / LoRA / checkpoint ecosystem

This is the clearest number-one strength. Many users see Civitai as the best or only practical place to discover and download resources.

2. Community and social connection

Comments repeatedly mention friends, followers, support, cozy vibe, feedback, and shared culture.

3. Relative openness for NSFW and creator freedom

A lot of users value that it still allows content and workflows other platforms restrict.

4. All-in-one convenience

Users like having models, sample images, metadata, posting, generating, LoRA training, and browsing in one place.

5. Usability / familiar UI / workflow integration

Even with complaints, many still prefer the interface and ecosystem over alternatives, especially with tools like Stability Matrix and API-based workflows.

The 5 things users mostly dislike about Civitai

1. Bugs, slowness, and unreliable site behavior

This is the most repeated frustration.

2. Bots and fake/manipulated engagement

This damages trust in followers, reactions, rankings, and discoverability.

3. Weak creator discovery and promotion tools

Many feel artists are not surfaced fairly unless lucky, established, or boosted.

4. Policy shifts, NSFW restrictions, and moderation/management decisions

A lot of resentment is tied less to rules themselves and more to how changes were handled.

5. Payment problems and platform trust issues

Users complain about blocked payment methods, crypto friction, uncertainty, and poor communication around monetization changes.

Free VS Paid users

Where there is little difference

• How they found Civitai: both free and paid users mostly found it the same way: through Stable Diffusion/model hunting, guides, Google/Reddit/Discord, or while looking for LoRAs/checkpoints.

• Why they signed up: again, very similar. Common reasons were downloading models, accessing NSFW content, trying the generator, posting their own work, or using training features.

So discovery and signup look broadly the same for both groups.

Where the difference becomes clear

1. Why they stay

• Free users more often stay for practical utility: model downloads, LoRA/checkpoint discovery, metadata storage, occasional posting, free generation/training when possible.

• Paid users more often describe a deeper platform commitment: community, daily use, supporting the site, trainer/generator convenience, bounties, cosmetics, memberships, and accumulated attachment.

Free users sound more transactional: “useful enough, still works, has models.”
Paid users sound more invested: “I’m here every day, I support it, I like the people/community, I use the paid features.”

2. Reasons for paying
This is the clearest difference by definition, but the why is also meaningful:

• Paid users usually mention one or more of:

  • more generation/training capacity

  • convenience

  • supporting Civitai

  • cosmetics / badges / bounties

  • subscriptions being worth it because they use it a lot

• Free users who did not pay often say:

  • no payment method available

  • local generation is enough

  • no need for subscriptions

  • dislike of crypto/subscriptions

  • reluctance to spend on the platform given current issues

So paid users often frame payment as value + support, while free users frame non-payment as constraint, sufficiency of local tools, or distrust of the monetization model.

3. Why they might leave
This is where the tone shifts most.

• Free users are more likely to say they would leave if:

  • NSFW gets more restricted

  • there is ID verification
    a better alternative appears

  • posting becomes pointless because of bots/engagement issues

  • they no longer need Civitai once they upgrade local hardware

• Paid users are more likely to complain about:

  • payment processor/payment method problems

  • policy/TOS changes that broke the “deal” they thought they were paying for

  • site instability and leadership decisions

  • feeling disappointed because they are financially invested

So both groups mention bugs, bots, NSFW restrictions, and poor management. But paid users tend to express these as a breach of trust/value, while free users express them as reasons to reduce usage or move elsewhere.

Bottom line
The main difference is:

• Free users: more utility-driven

• Paid users: more commitment-driven

They arrive for the same reasons, but paid users usually have a stronger emotional and financial stake, so their answers about staying and leaving are more intense and detailed.

Sales Funnel Step-by-step Recommendations

1. Awareness / Acquisition

Current question: “How did you find Civitai?”

What the comments suggest

People mostly found it through:

• searching for checkpoints / LoRAs / SD resources

• guides, tutorials, Reddit, Discord, Google

• curiosity about AI image generation

• NSFW discovery/use cases

• local-generation tooling ecosystems

What this means

Awareness is already strong in intent-based discovery. People are not stumbling in randomly; many are arriving because they already want something specific.

How to improve this step

Focus on capturing different high-intent entry paths better.

Recommendations

• Build separate landing paths for:

  • model hunters

  • local generation users

  • online generator users

  • creators who want to post

  • LoRA trainers

• Double down on SEO around:

  • checkpoints

  • LoRAs

  • tutorials

  • model comparisons

  • generator workflows

• Create “best next step” pages from high-intent pages:

  • viewing a model should also push to signup, save, follow, generate, or train

• Strengthen ecosystem integrations:

  • Stability Matrix, Forge, A1111, ComfyUI workflows, API access

• Use creator/referral loops:

  • “came for model X” should quickly lead to “follow creator / explore related models / join the niche”

2. Conversion / Signup

Current question: “What made you sign up?”

What the comments suggest

Typical signup triggers:

• need to download certain models

• need to access NSFW content

• want to use generator/trainer
  want to upload work

• want to interact with community

What this means

Signup seems to happen when users hit a gated value moment.

That is good, but only if the gating happens after users already understand the value. If the gate comes too early, conversion may happen, but activation may stay weak.

How to improve this step

Make signup feel like a natural continuation of value, not an interruption.

Recommendations

• Show more value before signup:

  • previews

  • related models

  • creator credibility

  • examples of outputs

• Use role-based onboarding at signup:

  • “I want to download models”

  • “I want to generate online”

  • “I want to post my work”

  • “I want to train LoRAs”

• Reduce signup friction for intent-heavy flows

• Immediately route new users to their first valuable action after signup

• If signup is required for NSFW/model access, explain the benefit clearly rather than just blocking

3. Activation

From the comments, likely activation events are:

• successfully downloading a model/LoRA

• successfully generating something decent

• training first LoRA

• uploading first image

• seeing good sample images / metadata

• getting first likes/follows/comments

How to improve this step

Shorten the time to first success.

Recommendations

• Create clear “first win” flows:

  • First download success

  • First online generation success

  • First upload/post success

  • First LoRA training success

• Offer beginner paths instead of generic onboarding

• Give users starter bundles:

  • safe default models

  • prompt templates

  • curated workflows

  • simple “copy settings” options

• For local users, make it painless to move from model discovery to local usage

• For creators, make first upload and metadata presentation effortless

• Celebrate first success:

  • first generation

  • first post

  • first follower

  • first model save

4. Retention

Current question: “Why are you still on Civitai?”

What the comments suggest

Retention drivers differ by segment.

Free users often stay for:

• model downloads

• LoRA/checkpoint discovery

• metadata storage

• posting as backup/archive

• occasional community interaction

• access to content they cannot get elsewhere

Paid users often stay for:

• community

• convenience

• generator/trainer value

• membership benefits

• cosmetics/bounties

• emotional investment in the platform

Common retention factors across both:

• biggest model ecosystem

• upload local work

• NSFW openness

• creator community

• familiarity and inertia

Biggest retention threats in the comments

• bugs / site instability

• poor feed reliability

• bot problems

• weak artist promotion/discovery

• payment problems

• policy/TOS changes

• reduced engagement

• frustration with moderation or management

• moving to alternatives like DeviantArt/Pixiv for visibility

How to improve this step

This looks like the highest leverage area.

Recommendations

1. Fix reliability first
   If likes, feeds, notifications, ratings, or uploads feel broken, retention erodes fast.

2. Improve creator discovery
   Many commenters feel the site is weak at helping artists get seen.
   Add better:

   • similar content recommendations

   • niche surfacing

   • smaller creator discovery

   • “because you liked this” logic

   • follower-to-view conversion tools

3. Attack bots visibly
   It is not enough to fight bots quietly; users need to feel the platform is protecting fairness.

4. Separate utility retention from social retention
   Some users stay for models, others for community. Treat them differently.

   • utility users need better search, updates, integrations

   • social users need better comments, visibility, community loops

5. Support creator progression
   Users want signs that effort matters.
   Give them:

   • view analytics

   • follower quality signals

   • reach explanations

   • recommendation insights

   • better tools to showcase portfolios

6. Handle policy changes with trust
   Several comments are less about the rule itself than about how it was handled.

5. Monetization

Current question: “If you ever paid, why?”

What the comments suggest

People pay for:

• more generation

• more training

• convenience

• supporting the site

• cosmetics

• bounties

• priority/perks

People do not pay because:

• no payment method available

• local generation is enough

• dislike crypto

• dislike subscriptions

• trust/value concerns

• site quality not strong enough to justify paying

What this means

Monetization seems strongest when users already have:

• high frequency of use

• clear utility need

• emotional attachment

• confidence in the platform

How to improve this step

Monetization should feel like an upgrade to an already-good workflow, not a tax on frustration.

Recommendations

• Segment offers by user type:

  • local users: better discovery, sync, metadata, API, model tracking

  • generator users: more generation capacity, presets, speed, queue benefits

  • trainers/creators: training credits, publishing tools, promotion tools, analytics

  • supporters: cosmetics, badges, community perks

• Make paid value concrete:

  • time saved

  • jobs completed

  • increased reach
    easier training

• Offer flexible options:

  • one-off purchases

  • usage packs

  • subscriptions

• Reduce dependence on payment methods users dislike

• Use monetization after activation, not before it

• For support-minded users, explicitly position payment as keeping the ecosystem alive

6. Churn / Exit risk

Current question: “If you want to leave, why?”

What the comments suggest

Top churn triggers:

• worsening NSFW restrictions

• bugs and instability

• bots and manipulated visibility

• weak promotion for creators

• payment issues

• policy distrust

• better alternatives

• getting a better local GPU and no longer needing onsite services

What this means

There are really two churn modes:

1. Angry churn
   caused by trust, policy, moderation, payments, fairness

2. Natural churn
   caused by improved local setup, shifting habits, burnout, less need for the platform

Those should be handled differently.

How to improve this step

Recommendations

• Build churn-prevention around the real reason:

  • fairness and bot control

  • reliability and performance

  • creator visibility

  • payment continuity

  • policy transparency

• For users who outgrow onsite generation, keep them through local-user value:

  • model tracking

  • creator following

  • workflow metadata

  • training services

  • portfolio/community presence

• Detect soft churn early:

  • reduced posting

  • reduced comments

  • reduced saves/downloads

• Re-engage by use case, not generic email nudges