Artificial Art
アート生成 · 220 月間訪問数
100種類以上の専門的なStable Diffusionモデルを揃えた、強力な無料AI画像生成プラットフォーム。高度な制御、インペインティング、アップスケーリング機能で、写実的なポートレートやアニメキャラクターから抽象画まで、あらゆるものを創造します。
製品概要
Artificial Art 製品概要
100種類以上の専門的なStable Diffusionモデルを揃えた、強力な無料AI画像生成プラットフォーム。高度な制御、インペインティング、アップスケーリング機能で、写実的なポートレートやアニメキャラクターから抽象画まで、あらゆるものを創造します。
Preview
Diffus 製品概要
精密な制御が可能なプロ級のブラウザベースAI画像生成プラットフォーム。70,000以上のStable Diffusion、LoRA、ControlNetモデルにアクセスし、高性能なハードウェアなしで素晴らしいビジュアルを制作。アーティスト、デザイナー、趣味での利用に最適です。
Preview
Detailed feature comparison
| Feature | Artificial Art | Diffus |
|---|---|---|
| 主要カテゴリー | アート生成 | デジタルアート |
| 追加日 | 2025-08-07 | 2025-08-04 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | artificial-art.eu | www.diffus.me |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 220 | 154.9K |
| 月間成長率 | -93.3% | -7.7% |
| お気に入り | 158 | 122 |
| Details | 詳細を見る | 詳細を見る |
Artificial Art vs Diffus monthly traffic
Compare Artificial Art and Diffus by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Artificial Art vs Diffus monthly traffic comparison, Artificial Art currently shows 220 visits and Diffus shows 154.9K; Diffus has about 704.2 times the visible traffic of Artificial Art, an absolute difference of about 154.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Diffus is registered at the www.diffus.me/zh-hk subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Artificial Art monthly traffic:
Latest traffic
月間訪問数
220
平均滞在時間
0:00
訪問あたりページ数
1.01
直帰率
49.19%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 3.4K 月間訪問数
- 2026/1: 1K 月間訪問数
- 2026/2: 973 月間訪問数
- 2026/3: 904 月間訪問数
- 2026/4: 3.3K 月間訪問数
- 2026/5: 220 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 220 |
検索キーワード
ai western painting nsfwbigasp2.6nsfw ai artnsfw inpaintingoutpainting ai nsfw
Diffus monthly traffic:
Latest traffic
月間訪問数
154.9K
平均滞在時間
6:13
訪問あたりページ数
6.23
直帰率
32.28%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 208.7K 月間訪問数
- 2026/2: 188.1K 月間訪問数
- 2026/3: 155.6K 月間訪問数
- 2026/4: 167.8K 月間訪問数
- 2026/5: 154.9K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇯🇵Japan | 50.41% | 78.1K |
| 🇺🇸United States | 20.17% | 31.3K |
| 🇬🇧United Kingdom | 16.93% | 26.2K |
| 🇹🇼Taiwan | 6.39% | 9.9K |
| 🇧🇷Brazil | 6.1% | 9.5K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 88.1% | 136.5K |
| 参照元 | 7.27% | 11.3K |
| Eメール | 4.63% | 7.2K |
検索キーワード
automatic1111civitaipony diffusionstable diffusionstable video diffusion
Traffic-based selection guidance: Diffus is registered under a www.diffus.me subpath, so its large visible total may include the host platform. The current data does not justify choosing Diffus for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of Artificial Art and Diffus
Artificial Art Core features
画像生成
アート生成
ジェネレーター
Diffus Core features
画像生成
デジタルアート
グラフィックデザイン
Use cases
Artificial Art Use cases
キャラクターデザイン
コンセプトアート
画像生成
インペインティング
ステーブルディフュージョン
アニメ
アートジェネレーター
職場閲覧注意
フォトリアル
SDXL
アップスケーリング
Diffus Use cases
キャラクターデザイン
コンセプトアート
画像生成
インペインティング
ステーブルディフュージョン
AIアート
ブラウザベース
ControlNet
LoRA
モデルライブラリ
テキスト画像
Artificial Art vs Diffus：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Artificial Art vs Diffus comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Artificial Art is primarily listed under “アート生成”, while Diffus is primarily listed under “デジタルアート”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Artificial Art: アート生成; Diffus: デジタルアート); Monthly visits (Artificial Art: 220; Diffus: 154.9K); Monthly growth (Artificial Art: -93.3%; Diffus: -7.7%); Favorites (Artificial Art: 158; Diffus: 122); Website (Artificial Art: artificial-art.eu; Diffus: www.diffus.me). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Artificial Art vs Diffus monthly traffic comparison, Artificial Art currently shows 220 visits and Diffus shows 154.9K; Diffus has about 704.2 times the visible traffic of Artificial Art, an absolute difference of about 154.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Diffus is registered at the www.diffus.me/zh-hk subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Diffus is registered under a www.diffus.me subpath, so its large visible total may include the host platform. The current data does not justify choosing Diffus for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
Artificial Art and Diffus currently overlap in shared categories: 画像生成; shared tags: キャラクターデザイン、コンセプトアート、画像生成、インペインティング、ステーブルディフュージョン. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Artificial Art's unique categories/tags are アート生成、ジェネレーター、アニメ、アートジェネレーター、職場閲覧注意、フォトリアル、SDXL、アップスケーリング; Diffus's are デジタルアート、グラフィックデザイン、AIアート、ブラウザベース、ControlNet、LoRA、モデルライブラリ、テキスト画像. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Artificial Art has no verified rating, 0 comments, 158 favorites, and 145 likes；Diffus has no verified rating, 0 comments, 122 favorites, and 107 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Artificial Art first
Put Artificial Art on the priority trial list when the task aligns with “アート生成” and especially アート生成、ジェネレーター、アニメ、アートジェネレーター、職場閲覧注意、フォトリアル. This follows recorded positioning and does not imply unlisted capabilities are absent.
Artificial Art also currently records: pricing is freemium, product type is website, 220 verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Diffus first
Put Diffus on the priority trial list when the task aligns with “デジタルアート” and especially デジタルアート、グラフィックデザイン、AIアート、ブラウザベース、ControlNet、LoRA. This follows recorded positioning and does not imply unlisted capabilities are absent.
Diffus also currently records: pricing is freemium, product type is website, 154.9K monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Artificial Art and Diffus, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
比較 FAQ
How should I choose between Artificial Art and Diffus?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.