#diffusion

• 16 Jul 2026 · Study

  Generative AI · Text-to-image

  How text steers a diffusion model: conditioning, classifier-free guidance, and the guidance scale trade-off, shown with a small conditional diffusion model on 2-D data where "prompts" are cluster labels.

• 1 Jul 2026 · Study

  Generative AI · Stable Diffusion

  Latent diffusion runs the diffusion process in a compressed latent space from a VAE; encoding and decoding a real photo with the Stable Diffusion VAE to see the 48× compression the whole model relies on.

• 23 Jun 2026 · Study

  Generative AI · Diffusion models

  DDPM from scratch on 2-D data: a fixed forward process that adds Gaussian noise, a small network trained to predict that noise, and a reverse loop that turns pure noise back into data.

• 5 Mar 2026 · AI updates

  Modular Diffusers: diffusion pipelines from composable blocks

  Hugging Face Diffusers introduced ModularPipeline, which builds diffusion pipelines from reusable blocks (text encoding, image encoding, denoising, decoding) that can be inspected, swapped and run on their own.

• 21 May 2024 · Paper summary

  Paper summary: FIFO-Diffusion: Generating Infinite Videos from Text without Training

  FIFO-Diffusion generates arbitrarily long videos from a pretrained text-to-video diffusion model, with no extra training, by denoising a queue of frames at increasing noise levels.

• 24 Jan 2024 · Paper summary

  Paper summary: Lumiere: A Space-Time Diffusion Model for Video Generation

  Lumiere generates the full duration of a video in one pass with a Space-Time U-Net that downsamples in both space and time, instead of generating keyframes and then filling in between.

• 10 Nov 2023 · Paper summary

  Paper summary: LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

  LCM-LoRA packages latent-consistency distillation as a LoRA that plugs into Stable Diffusion models and their fine-tunes to generate images in very few steps without extra training.

• 30 Oct 2023 · Paper summary

  Paper summary: CodeFusion: A Pre-trained Diffusion Model for Code Generation

  CodeFusion generates code with a diffusion model that iteratively denoises a whole program conditioned on the natural-language request, instead of writing tokens left to right.

• 6 Oct 2023 · Paper summary

  Paper summary: Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

  Kandinsky combines a separately trained image prior, which maps CLIP text embeddings to CLIP image embeddings, with latent diffusion and a modified MoVQ autoencoder: 3.3B parameters, open weights.

• 13 Sept 2023 · AI updates

  Würstchen: diffusion in a 42× compressed latent space

  Würstchen is a text-to-image diffusion model whose text-conditional stage works in a latent space compressed 42× spatially, making training and inference much cheaper than Stable Diffusion.

• 1 Sept 2023 · Paper summary

  Paper summary: MVDream: Multi-view Diffusion for 3D Generation

  MVDream trains a diffusion model to generate several consistent views of an object at once, then uses it as a 3D prior for text-to-3D, which reduces problems like the "two-faced horse".