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alexanderswerdlow avatar

alexanderswerdlow/unidisc

0
View on GitHub↗
141 stars·6 forks·Python·8 viewsunidisc.github.io↗

Unidisc

Unified Multimodal Discrete Diffusion

Features

  • Multimodal Diffusion Models - Unified multimodal discrete diffusion framework.

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Frequently asked questions

What does alexanderswerdlow/unidisc do?

Unified Multimodal Discrete Diffusion

What are the main features of alexanderswerdlow/unidisc?

The main features of alexanderswerdlow/unidisc are: Multimodal Diffusion Models.

What are some open-source alternatives to alexanderswerdlow/unidisc?

Open-source alternatives to alexanderswerdlow/unidisc include: ml-gsai/llada — LLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining… vectorspacelab/omnigen — OmniGen is a unified image generation model and diffusion framework that processes text, images, and vision tasks… fudoki-hku/fudoki — This repository is the official implementation of FUDOKI: Discrete Flow-based Unified Understanding and Generation via… hustvl/diffusionvl — DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models. jacklishufan/lavida — [[Paper]](paper/paper.pdf) [[Arxiv]](https://arxiv.org/abs/2505.16839) [[Checkpoints]](https://huggingface.co/collectio… gen-verse/mmada — Multimodal Large Diffusion Language Models (NeurIPS 2025).

Open-source alternatives to Unidisc

Similar open-source projects, ranked by how many features they share with Unidisc.
  • ml-gsai/lladaML-GSAI avatar

    ML-GSAI/LLaDA

    3,580View on GitHub↗

    LLaDA is a masked diffusion language model and conditional text generator. It generates text by iteratively refining masked tokens through a diffusion process rather than predicting the next token in a sequence. The project functions as a vision-language diffusion model, converting visual inputs into text responses. It also serves as a preference optimization framework that uses log-likelihood estimation and evidence lower bounds to tune model responses. The system supports multi-round conversational AI and text sequence evaluation. It integrates vision-language embedding for cross-modal con

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  • vectorspacelab/omnigenVectorSpaceLab avatar

    VectorSpaceLab/OmniGen

    4,326View on GitHub↗

    OmniGen is a unified image generation model and diffusion framework that processes text, images, and vision tasks through a single system. It functions as a multimodal diffusion framework that treats diverse vision operations as unified image synthesis problems using shared model weights, removing the need for external adapter modules. The system supports subject-driven image generation to preserve the identity of objects from reference photos and allows for multi-reference image synthesis. It also operates as an instruction-based image editor, modifying visual content through natural languag

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  • fudoki-hku/fudokifudoki-hku avatar

    fudoki-hku/FUDOKI

    76View on GitHub↗

    This repository is the official implementation of FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities.

    Python
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  • gen-verse/mmadaGen-Verse avatar

    Gen-Verse/MMaDA

    1,656View on GitHub↗

    Multimodal Large Diffusion Language Models (NeurIPS 2025)

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  • See all 15 alternatives to Unidisc→