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Everything / Image generation / Image Generation

Trend in Image generation · tag image-generation · through Sep 2026

Image Generation Growing

On TutorHero's Everything Index, Image Generation is growing on GitHub: 0.77 of every 10,000 new public repos over the last three months (745 a month), 5x vs a year ago. The 12-month forecast says rising (+62%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos0.77745 new repos a month
Year over year5x3 months: +39%
Next 12 months+62%80% band +37% to 5x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention1.87%of new stars, +112% in a year
Jev 2032 call0.78xBetter than most similar lines
Share on X

Since 2019, and the range to 2032

0.010.030.10.3131020192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 1.91Jev 0.60Median 0.41Low 0.01

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar linesJev's 2032 call

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week2.3k new reposOct 12 to Oct 18 · 7x against the field
Last 4 weeks▲ +213%3.0k new repos, against the 4 weeks before and the field
Wikipedia, 7 days911 views-3% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

New public repos with the image-generation tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News4 stories a month-56% share of HN vs a year ago · titles with "image generation"
Wikipedia7.3k views a month+23% share of Wikipedia vs a year ago · Text-to-image model
Talk vs buildingTalk and building in stepWikipedia +23% vs GitHub new repos 5x over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hiredCommit this year
  • Worth learning now: Image Generation is growing, 5x share of new GitHub repos vs a year ago.
  • Start by reading calesthio/OpenMontage (+7.3k stars in 3 months) and unslothai/unsloth (+1.9k stars in 3 months).
  • People to follow: AUTOMATIC1111, Hugging Face, ATH-MaaS.
  • Jev for someone who wants to contribute or get hired: Commit this year (3.3 of 4).
Founders and builderswhat to build nextCommit this year
  • Builders and attention both rising: new repos 5x, attention +112% in a year.
  • 12.3 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
  • The 12-month forecast for its share: +62% (Rising).
  • Talk and building in step: Wikipedia +23% vs new repos 5x in a year, close to the typical trend.
  • Jev for a builder: Commit this year (3.0 of 4).
Investorswhich fields deserve research timeCommit this year
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Jev's 2032 call: better than most similar lines (unsure), which on the base rates means about 0.78x today's share by the end of 2032.
  • Attention: 1.87% of new stars on the repos we track, +112% in a year.
  • Hacker News: 4 stories a month, -56% share in a year; Wikipedia 7.3k views a month, +23%.
  • Jev for an investor: Commit this year (3.1 of 4).
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adoptCommit this year
  • Most-starred tools here lately: calesthio/OpenMontage (vouched), unslothai/unsloth (vouched).
  • The field is growing, so expect new tools and fast changes; pin versions.
  • Jev for a developer picking tools: Commit this year (3.0 of 4).

Repos carrying it now

calesthio/OpenMontageWorld's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge f+7.3k stars in 3 months · vouchedunslothai/unslothLocal UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.+1.9k stars in 3 months · vouchedop7418/guizang-ppt-skillAI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low+1.9k stars in 3 months · vouchedhelloianneo/ian-xiaohei-illustrations中文小黑怪诞正文配图生成 Skill | 16:9 白底手绘 | 少量红橙蓝批注 | Codex Skill+1.5k stars in 3 months · organicHBAI-Ltd/Toonflow-app短剧、漫剧制作工具 Toonflow：开源 AI 视频创作平台，集成剧本创作、智能分镜、角色与场景资产管理、图像生成和视频生成。融合无限画布、AI Agent 与可视化工作流，支持本地部署、自选模型、跨平台客户端、MCP 与插件扩展。Open-source AI short dr+1.4k stars in 3 months · newkrillinai/OpenCreatorFormerly KrillinAI, VideoTranslation and Dubbing Tool. Open-source AI workspace for creators, powered by Codex. Video downloading, video tra+1.3k stars in 3 months · organic

People building it

AUTOMATIC1111Creating the Stable Diffusion web UI and its extensions.Influence 70Hugging FaceBuilding open-source AI models and tools for the community.Influence 69ATH-MaaSAI video engines, multimodal models, and ComfyUI automation.Influence 37InvokeBuilding creative AI tools for artists and teams.Influence 46歸藏Creates AI tools and skills for presentations and writing.Influence 82HBAI-LtdCreating Toonflow, an open-source AI video creation tool.Influence 45ianproduct designerInfluence 50Carson KatriBuilding SwiftUI tools and Blender integrations.Influence 48

More in Image generation

ComfyUIAccelerating5x in a year · 411 new repos a monthStable DiffusionGrowing+107% in a year · 205 new repos a monthFLUXCooling+84% in a year · 91 new repos a monthGaussian splattingAccelerating4x in a year · 82 new repos a month3D generationGrowing+189% in a year · 32 new repos a month

Questions

Is Image Generation growing on GitHub?

Yes. Its share of all new public GitHub repos is 5x vs a year ago and +39% over the last three months (Sep 2026). Phase: Growing.

How many new Image Generation repos are created each month?

About 745 new public repos a month carry the image-generation tag (three-month average to Sep 2026), or 0.77 of every 10,000 new repos.

What will Image Generation look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller. Jev's call: Better than most similar lines.

Is Image Generation more talked about than built?

Talk and building in step. Over the year its share of Wikipedia views moved +23% while its share of new GitHub repos moved 5x. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: about 1/1 of the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.