Black Forest Labs
Black Forest Labs (BFL) is a German-American artificial intelligence company founded in 2024 by Robin Rombach, Andreas Blattmann, Patrick Esser, and Dominik Lorenz
Generative AI
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Showing 1-19 of 19 articles
Consistency Models
Consistency models are a family of generative models, introduced by Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever at OpenAI in March 2023
DALL-E
DALL-E is a family of text-to-image systems developed by OpenAI that generates images from natural-language descriptions.
DDIM (Denoising Diffusion Implicit Models)
Denoising Diffusion Implicit Models (DDIM) are a class of iterative generative models, introduced by Jiaming Song, Chenlin Meng, and Stefano Ermon of Stanford University in October 2020
Diffusion Transformer (DiT)
A Diffusion Transformer (DiT) is a transformer-based neural network backbone for diffusion models that replaces the U-Net with a Vision Transformer operating on patches of an image latent.
Discrete diffusion language model
A discrete diffusion language model is a class of generative model for text that produces tokens by iteratively denoising a corrupted sequence, rather than by predicting one token at a time from left to right.
EDM (Elucidating Diffusion Models)
EDM is the common shorthand for the paper "Elucidating the Design Space of Diffusion-Based Generative Models" by Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine of NVIDIA, presented at NeurIPS 2022.
FLUX.1
FLUX.1 is a family of text-to-image generation models developed by Black Forest Labs, released on August 1, 2024.
FLUX.2
FLUX.2 is the second-generation image generation and editing model family developed by Black Forest Labs, released on November 25, 2025.
Flow Matching
Flow Matching is a simulation-free training framework for generative models that fits a time-dependent velocity field to transport samples from a source distribution (typically a standard Gaussian) to a data…
Flux (text-to-image model)
Flux is a family of text-to-image generative models developed by Black Forest Labs (BFL), the German-American startup founded by the original creators of Stable Diffusion.
Imagen (text-to-image model)
Imagen is a family of text-to-image diffusion models developed by Google, first introduced in May 2022 and as of 2026 in its fourth generation (Imagen 4).
Latent Consistency Models (LCM)
Latent Consistency Models (LCMs) are a family of accelerated text-to-image generative models that apply the consistency-models framework of Song et al.
Midjourney
Midjourney is an artificial intelligence image generation service and independent research lab headquartered in San Francisco, California
Rectified Flow
Rectified Flow is a generative modeling framework that learns a transport ordinary differential equation between two probability distributions by regressing a velocity field along straight-line interpolations…
Sora
Sora was a text-to-video generation model developed by OpenAI. OpenAI revealed the research model on February 15, 2024 and granted early access to red teamers, visual artists, designers, and filmmakers.
Stable Diffusion
Stable Diffusion is a family of generative image models that can synthesize and edit images from text and other conditions.
Stable Diffusion 3
Stable Diffusion 3 (SD3) is a family of text-to-image diffusion models developed by Stability AI, first announced as an early preview on February 22, 2024, and built on a new architecture called the Multimodal…
Text-to-video generation
Text-to-video (often abbreviated T2V) is the generative AI capability of producing video clips, with or without sound, directly from a written prompt.