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This is the official implementation of the paper: A Cheaper and Better Diffusion Language Model with Soft-Masked Noise.
Continuous Latent Diffusion Language Model — a hierarchical latent-space text diffusion model with a block-causal DiT prior over a Text VAE.
We introduce Text-to-text Self-conditioned Simplex Diffusion (TESS), a text diffusion model that is fully non-autoregressive, employs a new form of self-conditioning, and applies the diffusion process on the logit simplex space rather than the typical learned embedding space.
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
The main features of david3684/flm are: Continuous Diffusion Models.
Open-source alternatives to david3684/flm include: amazon-science/masked-diffusion-lm — This is the official implementation of the paper: A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. ashaba1in/smoothie — Paper: https://arxiv.org/pdf/2505.18853. bytedance-seed/cola-dlm — Continuous Latent Diffusion Language Model — a hierarchical latent-space text diffusion model with a block-causal DiT… guangyliu/latentops — Source code of paper: Composable Text Controls in Latent Space with ODEs. hamishivi/tess-2 — Official implementation of TESS 2. TESS 2 is a state-of-the-art diffusion language model created by adapting existing… allenai/tess-diffusion — We introduce Text-to-text Self-conditioned Simplex Diffusion (TESS), a text diffusion model that is fully…
