Muse: Text-To-Image Generation via Masked Generative Transformers
muse-model.github.ioMuse is a text-to-image model that also supports editing images through its generative transformer approach.
Looking for something like Imagen? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 8 are open source.
Google Research introduced Imagen as a text-to-image diffusion model in this research paper.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Muse: Text-To-Image Generation via Masked Generative Transformers | — | Not stated | Web |
| 2 | ERNIE | — | Not stated | Web |
| 3 | Stable Diffusion | — | Not stated | Web |
| 4 | TokenVerse | — | Not stated | Web |
| 5 | Word-As-Image for Semantic Typography | — | Not stated | Web |
| 6 | Image Arena Leaderboard | — | Not stated | Web |
| 7 | Flan-T5 | — | Yes | — |
| 8 | openai/point-e | — | Yes | — |
| 9 | NExT-Chat: An LMM for Chat, Detection and Segmentation | — | Not stated | Web |
| 10 | DeepSeek-R1 | — | Yes | — |
Muse is a text-to-image model that also supports editing images through its generative transformer approach.
The ERNIE blog announces model releases and shares information about training and evaluation results.
Stable Diffusion v1.4 is a text-to-image model documented with its model card on Hugging Face.
TokenVerse presents research on personalizing image generation through multi-concept token modulation.
This research paper presents Word-As-Image, a method for incorporating semantic meaning into typography.
Image Arena ranks text-to-image generators and lets users compare sample outputs side by side.
This repository contains Google Research code for the Flan-T5 language model project.
Point·E is a research project that generates 3D point clouds using diffusion models.
This paper presents NExT-Chat, a large multimodal model for chat, detection, and segmentation.
The DeepSeek-R1 repository links to its reasoning research paper and provides related model materials.
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Repository accompanying the paper Generative Agents: Interactive Simulacra of Human Behavior, containing the core simulation module for agents that simulate believable human behaviors and their game environment.
This repository provides a PyTorch implementation of a CVPR paper on high resolution representations for human pose estimation.
Falcon LLM is described as a generative language model from the Technology Innovation Institute for a range of AI applications.
This timeline documents developments in AI image and video generation models.
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The Stanford AI Index gathers data about artificial intelligence for researchers, policymakers, journalists, and the public.
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This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.
The S4 repository presents structured state space sequence models for sequence modeling research.
The learn2learn library supports meta learning experiments and research with PyTorch.
Janus combines multimodal understanding and image generation models in a unified model series.
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