Majesty Diffusion


AI model preview image
The Majesty Diffusion model generates images from text using a technique called CLIP guided latent diffusion. It takes textual descriptions as input and generates corresponding images. This model is trained to understand and utilize both the text and image modalities to produce high-quality, realistic images that match the given textual prompts.

Use cases

The Majesty Diffusion model holds significant potential in various domains. For artists and designers, it can serve as a powerful tool for visualizing their ideas and concepts. They can simply describe their desired image in text and use this model to generate a corresponding visual representation. In the field of advertising and marketing, this model can be employed to create engaging and persuasive visuals for promotional campaigns based on textual descriptions of products or services. Additionally, the Majesty Diffusion model can be integrated into virtual reality and gaming applications to dynamically generate realistic scenes and objects based on in-game events or player interactions. Furthermore, it can find use in e-commerce platforms, where it can generate product images based on textual descriptions, providing a convenient solution for showcasing merchandise. Overall, the Majesty Diffusion model enables the seamless translation of textual ideas into rich visual content, empowering various industries to enhance their creative processes and deliver captivating user experiences.



Cost per run
Avg run time
Nvidia A100 (40GB) GPU

Creator Models

Latent Viz$0.001165,010
Arf Svox2$?14,546
K Diffusion$?6,806
Disco Diffusion$?63,295

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Try it!

You can use this area to play around with demo applications that incorporate the Majesty Diffusion model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.


Summary of this model and related resources.

Model NameMajesty Diffusion
Generate images from text using CLIP guided latent diffusion
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkNo paper link provided


How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

Model Rank
Creator Rank


How much does it cost to run this model? How long, on average, does it take to complete a run?

Cost per Run$-
Prediction HardwareNvidia A100 (40GB) GPU
Average Completion Time-