Image Generation¶

Architectures¶

• MMDiT - Multi-Modal Diffusion Transformer architecture
• flow matching - Flow matching for diffusion models
• block causal linear attention - Block causal linear attention mechanism
• DC AE - Deep Compression Autoencoder
• SANA - SANA architecture
• sana denoiser architecture - SANA denoiser design
• transformers v5 - Transformers v5 for diffusion

FLUX Models¶

• flux klein 9b inference - FLUX Klein 9B inference guide and best practices
• flux kontext - FLUX Kontext model

Training & Fine-tuning¶

• diffusion lora training - LoRA training for diffusion models
• lora fine tuning for editing models - LoRA fine-tuning for editing models
• Text to LoRA - Text-to-LoRA generation
• paired training for restoration - Paired training for image restoration

Inference & Optimization¶

• diffusion inference acceleration - Inference acceleration techniques
• tiled inference - Tiled inference for high-resolution generation
• temporal tiling - Tiles as temporal sequence
• low vram inference strategies - Low-VRAM inference strategies
• textual latent interpolation - Textual latent interpolation

Editing & Restoration¶

• Step1X Edit - Step1X-Edit model
• [[ACE++]] - ACE++ editing
• LaMa - Large Mask Inpainting
• image restoration survey - Image restoration survey
• RealRestorer - RealRestorer model
• color checker and white balance - Color checker and white balance correction
• grayscale overlay nn architectures - Neural networks for grayscale overlay prediction

Specialized Models¶

• Calligrapher - Calligrapher model
• PixelSmile - PixelSmile model
• X Dub - X-Dub model
• FLAIR - FLAIR model
• MACRO - MACRO model
• MARBLE - MARBLE model
• ATI - Any Trajectory Instruction

Segmentation¶

• in context segmentation - In-context segmentation