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Train and Sample Like 2026: Logit-Normal Steps, EMA, and Few-Step Flow

Train and Sample Like 2026: Logit-Normal Steps, EMA, and Few-Step Flow

12 November, 2026
PyTorch
MMDiT Joint Attention in PyTorch: Two Streams, One Generator

MMDiT Joint Attention in PyTorch: Two Streams, One Generator

12 November, 2026
PyTorch
adaLN-Zero and Classifier-Free Guidance in PyTorch

adaLN-Zero and Classifier-Free Guidance in PyTorch

12 November, 2026
PyTorch
RMSNorm, QK-Norm, SwiGLU, and 2D RoPE in a Tiny DiT

RMSNorm, QK-Norm, SwiGLU, and 2D RoPE in a Tiny DiT

12 November, 2026
PyTorch
torch.compile, Mixed Precision, and SDPA: Speed Up TinyDiT

torch.compile, Mixed Precision, and SDPA: Speed Up TinyDiT

12 November, 2026
PyTorch
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Blog

Stable Diffusion Models: SD 1.5 vs SDXL vs SD 3.5 vs FLUX

Stable Diffusion Models: SD 1.5 vs SDXL vs SD 3.5 vs FLUX

09 November, 2026
AI
Stable Diffusion Clearly Explained!

Stable Diffusion Clearly Explained!

13 February, 2023
AI
Diffusion Model Clearly Explained!

Diffusion Model Clearly Explained!

13 February, 2023
AI
Stable Diffusion — The Invisible Watermark in Generated Images

Stable Diffusion — The Invisible Watermark in Generated Images

13 February, 2023
AI
DiagonalGAN — Content-Style Disentanglement in StyleGAN Explained!

DiagonalGAN — Content-Style Disentanglement in StyleGAN Explained!

13 February, 2023
AI
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Tutorials

Build a Tiny Diffusion Transformer in PyTorch (DiT from Scratch)

Build a Tiny Diffusion Transformer in PyTorch (DiT from Scratch)

12 November, 2026
PyTorch
Flow Matching in PyTorch: Train a Model to Follow a Straight Line

Flow Matching in PyTorch: Train a Model to Follow a Straight Line

12 November, 2026
PyTorch
Patch Embeddings in PyTorch: How a Transformer Reads an Image

Patch Embeddings in PyTorch: How a Transformer Reads an Image

12 November, 2026
PyTorch
Attention and the Transformer Block in PyTorch

Attention and the Transformer Block in PyTorch

12 November, 2026
PyTorch
PyTorch nn.Module and the Training Loop: Layers, Loss, and Checkpoints

PyTorch nn.Module and the Training Loop: Layers, Loss, and Checkpoints

12 November, 2026
PyTorch
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