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 ERNIE? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 7 are open source.
The ERNIE blog announces model releases and shares information about training and evaluation results.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Muse: Text-To-Image Generation via Masked Generative Transformers | — | Not stated | Web |
| 2 | Imagen | — | Not stated | Web |
| 3 | timm | — | Yes | — |
| 4 | TokenVerse | — | Not stated | Web |
| 5 | Image Arena Leaderboard | — | Not stated | Web |
| 6 | Stable Diffusion | — | Not stated | Web |
| 7 | Alpaca | — | Yes | — |
| 8 | SmolVLA | — | Not stated | Web |
| 9 | Falcon LLM | — | Not stated | Web |
| 10 | Alpaca | — | Not stated | Web |
Muse is a text-to-image model that also supports editing images through its generative transformer approach.
Google Research introduced Imagen as a text-to-image diffusion model in this research paper.
timm provides PyTorch image encoders and backbones along with training, evaluation, inference, and export scripts.
TokenVerse presents research on personalizing image generation through multi-concept token modulation.
Image Arena ranks text-to-image generators and lets users compare sample outputs side by side.
Stable Diffusion v1.4 is a text-to-image model documented with its model card on Hugging Face.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Use SmolVLA, a vision-language-action model trained on data from the LeRobot community, for robotics research.
Falcon LLM is described as a generative language model from the Technology Innovation Institute for a range of AI applications.
The Stanford Alpaca project presents a replicable instruction-following language model and its research materials.
This paper presents NExT-Chat, a large multimodal model for chat, detection, and segmentation.
This timeline documents developments in AI image and video generation models.
This research paper presents Word-As-Image, a method for incorporating semantic meaning into typography.
Stanford CoreNLP provides natural language analysis tools that process raw text into linguistic annotations.
CLIPasso explores semantically aware object sketching as a research project.
The Stanford AI Index gathers data about artificial intelligence for researchers, policymakers, journalists, and the public.
Bittensor is an open machine intelligence network where subnets produce digital commodities such as compute and inference, with contributors earning TAO.
MobiLlama is a small language model designed for edge devices, according to its repository description.
Janus combines multimodal understanding and image generation models in a unified model series.
Point·E is a research project that generates 3D point clouds using diffusion models.
This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.
CodeGen provides open-source models for program synthesis and code generation.
Moonshot AI develops the Kimi K2 large language model series and publishes its source repository.
Unsupervised machine learning with multivariate Gaussian mixture model.
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