画像スタジオ

モデル

プロンプト4,307 / 1,000

{"type":"AIアーキテクチャの左右比較インフォグラフィック","style":"クリーンな技術系統図、白背景、細い黒の輪郭線、角丸四角形、破線の引き出し線ボックス、色分けされたハイライト、プレゼンスライド風、ベクターインフォグラフィック","canvas":{"aspect_ratio":"2:1","resolution":"wide horizontal"},"title_row":{"left_title":"[DeepSeek V3/R1 (671 billion)]","right_title":"[DeepSeek V4 (1.2 trillion)]","left_title_color":"鮮やかなオレンジレッド","right_title_color":"鮮やかなブルー"},"layout":{"columns":2,"sections":[{"title":"[DeepSeek V3/R1 (671 billion)]","position":"左半分","count":9,"labels":["Vocabulary size of 129k","FeedForward (SwiGLU) module","Intermediate hidden layer dimension of 2,048","MoE layer","Supported context length of 128k tokens","First 3 blocks use dense FFN with hidden size 18,432 instead of MoE","Sample input text","Embedding dimension of 7,168","128 heads"]},{"title":"[DeepSeek V4 (1.2 trillion)]","position":"右半分","count":9,"labels":["Vocabulary size of 160k","FeedForward (SwiGLU) module","Intermediate hidden layer dimension of 3,072","MoE layer","Supported context length of 256k tokens","First 3 blocks use dense FFN with hidden size 24,576 instead of MoE","Sample input text","Embedding dimension of 8,192","128 heads"]},{"title":"下部比較表","position":"下部全幅","count":10,"labels":["Total parameters","Active parameters per token","Hidden size","Intermediate (FF)","Attention heads","Context length","Embedding dimension","Vocabulary size"]}]},"left_panel":{"background":"ごく薄いグレーの角丸四角形","main_stack":{"count":8,"blocks":["Tokenized text","Token embedding layer","RMSNorm 1","Multi-head Latent Attention","RMSNorm 2","MoE","Final RMSNorm","Linear output layer"]},"side_module":"左側のアテンションブロックに接続されたRoPE","attention_block":{"label":"Multi-head Latent Attention","accent":"Latentの文字にオレンジレッドのアクセント"},"feedforward_inset":{"title":"FeedForward (SwiGLU) module","count":4,"blocks":["Linear layer","SiLU activation","Linear layer","Linear layer"],"diagram":"2系統の乗算後に射影"},"moe_inset":{"title":"MoE layer","count":5,"blocks":["top combine node","Feed forward","Feed forward","Router","expert count badge 256"],"details":"選択された1エキスパートを表す小さな黒い四角、エキスパートへの上向き矢印、点線の仕切り線"},"annotations":{"vocab":"Vocabulary size of 129k","ff_dim":"Intermediate hidden layer dimension of 2,048","context":"Supported context length of 128k tokens","dense_first_blocks":"First 3 blocks use dense FFN with hidden size 18,432 instead of MoE","resource_savings":"Resource savings: Model size is 671B but only 1 (shared) + 8 experts active per token; only 37B parameters are active per inference step"},"bottom_stats":{"count":8,"items":["Total parameters: 671B","Active parameters per token: 37B (1 + 8 experts)","Hidden size: 7,168","Intermediate (FF): 2,048","Attention heads: 128","Context length: 128k","Embedding dimension: 7,168","Vocabulary size: 129k"]}},"right_panel":{"background":"ごく薄いブルーの角丸四角形","main_stack":{"count":8,"blocks":["Tokenized text","Token embedding layer","RMSNorm 1","Multi-head Latent Attention","RMSNorm 2","MoE","Final RMSNorm","Linear output layer"]},"side_module":"左側のアテンションブロックに接続されたRoPE","attention_block":{"label":"Multi-head Latent Attention","accent":"Latentの文字にブルーのアクセント"},"feedforward_inset":{"title":"FeedForward (SwiGLU) module","count":4,"blocks":["Linear layer","SiLU activation","Linear layer","Linear layer"],"diagram":"左パネルと同様の構造"},"moe_inset":{"title":"MoE layer","count":5,"blocks":["top combine node","Feed forward","Feed forward","Router","expert count badge 384"],"details":"選択された1エキスパートを表す小さな黒い四角、エキスパートへの上向き矢印、点線の仕切り線、青枠による強調"},"annotations":{"vocab":"Vocabulary size of 160k","ff_dim":"Intermediate hidden layer dimension of 3,072","context":"Supported context length of 256k tokens","dense_first_blocks":"First 3 blocks use dense FFN with hidden size 24,576 instead of MoE","resource_savings":"Resource savings: Model size is 1.2T but only 1 (shared) + 8 experts active per token; only 52B parameters are active per inference step"},"bottom_stats":{"count":8,"items":["Total parameters: 1.2T","Active parameters per token: 52B (1 + 8 experts)","Hidden size: 8,192","Intermediate (FF): 3,072","Attention heads: 128","Context length: 256k","Embedding dimension: 8,192","Vocabulary size: 160k"]}},"global_notes":"左右対称レイアウトの高精細なTransformerアーキテクチャ比較図を作成。左右それぞれに大型スタック図1点とインセット図2点（FFNモジュールとMoE層）を配置。ブロック間を矢印で結び、微細な技術ラベルと引き出し線を配置。高密度なプレゼン風タイポグラフィ、左側はオレンジレッド、右側はブルーをアクセントカラーにし、下部に幅いっぱいの比較表を配置。"}

Ctrl / ⌘ + Enter

参照画像0 / 16

アスペクト比

品質

解像度

画像の数

1 / 4

結果

プロンプトから始める

生成された画像がここに表示されます。

インスピレーションを得る