Clip Guided Diffusion
The clip-guided-diffusion model has several potential use cases for a technical audience. One use case could be in the field of creative content generation, where designers or artists could use this model to quickly generate visual representations based on textual descriptions. It could also be used in the development of virtual or augmented reality applications, where the model could generate realistic visualizations based on user input. Additionally, this model could be useful in the field of computer vision research, as it provides a way to generate training data for image recognition and classification algorithms. In terms of practical applications, products leveraging this model could include tools for generating artwork or graphics based on user descriptions, or even a creative writing assistant that generates images to accompany written content. Furthermore, this model could be integrated into chatbot platforms, allowing users to provide text prompts and receive relevant images as responses.
- Cost per run
- Avg run time
- Nvidia T4 GPU
|Mannequin Gan 3 Electric Boogaloo 2
|Glid 3 Xl
You can use this area to play around with demo applications that incorporate the Clip Guided 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.
|Clip Guided Diffusion
Generate image from text by guiding a denoising diffusion model. Inference ...Read more »
|View on Replicate
|View on Replicate
|View on Github
|View on Arxiv
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run
|Nvidia T4 GPU
|Average Completion Time