Stable Diffusion
Open-weight text-to-image AI models that developers and researchers can run locally or via hosted platforms to generate images.
About this data
Updated July 6, 2026
Overall Pulse Score
-6 over this period
A 0-100 index summarizing the tone of 188 relevant public mentions gathered from public online communities across 24 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Weekly Sentiment Trend
Pulse Score by week over the selected period. Each point is one complete week of mentions.
This week in public discussion
Recent discussion around Stable Diffusion was notably shaped by legal and ethical concerns, with several commenters referencing ongoing lawsuits over training data and characterizing the tool alongside others as relying on unlicensed artwork. Feature praise still appeared in a meaningful share of mentions, and some commenters highlighted the appeal of running models locally without cloud dependencies. Bugs and reliability complaints also surfaced across the period, keeping sentiment divided and the overall tone mixed rather than clearly positive or negative.
Read the deeper analysisAI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Sentiment mix by week
How the tone of public discussion splits each week.
Ringed points mark weeks with unusually high discussion volume, more than double this product's typical week.
Most-discussed praise
Most-discussed complaints
Themes across the selected period, with mention counts.
How Stable Diffusion compares
Pulse Score over the selected period versus the top tracked competitors in AI Image.
Where the mentions come from
Share of the 188 relevant public mentions in the selected period, by source.
Sample public mentions
Showing 5 of 188 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.
“STABLE DIFFUSION IS SO FRUSTRATING to get a proper #SYNTHART, #AIART image. Might be easier if my gpu wasn't bottom tier for it. However, 1st pic I liked, but I couldn't change one little aspect (hip area looks weird to me). 2nd pic is where I finally just said, "I'm moving on".”
“#SYNTHART #AIART #GENAIART Since my chatgpt is quota blocking me, I am testing out the concept with Stable Diffusion locally and gemini for restyling. It's different from my other awesome Dragon Lambs.”
“this was a lot of fun to do with ComfyUI and stable diffusion back in the day, shuffle/randomize embeddings and such though generally it'll just go off into uncanny valley. but it's AI-native for sure”
“This Stable Diffusion trick is seriously game-changing! 🤯 You gotta see how prompt weighting is leveling up AI art. Let's dive in! まじでやばいっす!Stable Diffusionのプロンプト級ウェイトやばすぎんじゃん!! #AIArt #AI活用 #StableDiffusion”
“Blame Stable Diffusion for the massive boobs! 🤖 I just wanted to keep your beauty untouched, Sainkho 😅. It is so delicate that trying to fully capture an angel as gorgeous as you is a beautiful challenge 🌸😘”
846+ more analyzed mentions, full history, and theme breakdowns are part of Pro.
Get ProDeeper analysis
- Ethical and legal framing around training data dominated the tone of the wider conversation and colored many mentions negatively.
- Sentiment declined sharply during the weeks of highest discussion volume before partially recovering by the end of the window.
- Output quality split opinion most visibly, appearing as both a top praise theme and a significant complaint theme.
- A technically engaged subset of commenters expressed genuine enthusiasm for local and offline deployment capabilities.
| Praise theme | Mentions |
|---|---|
| Strong features | 54 |
| AI quality | 28 |
| Easy to use | 17 |
| Good integrations | 11 |
| Performance | 7 |
| Complaint theme | Mentions |
|---|---|
| AI quality | 32 |
| Bugs | 20 |
| Compared to rivals | 15 |
| Performance | 13 |
| Missing features | 9 |
Discussion around Stable Diffusion over this four-week window was shaped heavily by ethical and legal concerns, with a notable strand of commenters framing the tool alongside ongoing litigation involving training data. Several mentions drew direct connections to lawsuits from Getty Images and artist class actions, and a recurring sentiment was that the model's outputs rest on what some commenters characterized as unconsented creative work. This ethical framing colored even mentions that were not strictly complaints, with some users referencing the product in the context of broader debates about AI and human labor rather than discussing its technical qualities.
On the praise side, feature-related enthusiasm dominated, with a meaningful share of positive mentions touching on output quality and the flexibility of local or offline deployment. A thread of commentary appreciated the ability to run models without cloud dependencies or rate limits, and some users engaged with it in a hobbyist or experimental spirit, suggesting a community of technically engaged users who value self-hosted control.
Sentiment followed a notable arc across the tracked weeks. Scores started in the low-to-mid sixties, dipped through mid-May into the low fifties, recovered briefly toward the end of May and into early June when mention volume also climbed sharply, then fell back into the low-to-mid forties in the following two weeks before recovering again to the mid-fifties in the final period. The sharpest decline coincided with the highest sustained discussion volume, suggesting that increased visibility brought with it a heavier share of critical or contentious commentary.
Opinion was most divided on the question of AI output quality, which appeared prominently in both praise and complaint themes, indicating that satisfaction with results varied considerably across users. Privacy and reliability concerns added a secondary layer of friction, while some commenters remained enthusiastic participants treating the tool as a practical creative or development resource.
AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Member perspectives
Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.
Overall Pulse Score
-6 over this period
A 0-100 index summarizing the tone of 188 relevant public mentions gathered from public online communities across 24 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Data summary
Compare with another tool
Stable Diffusion
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