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DiffusionCLIP is a model that combines the power of diffusion models and Clip-based text embeddings to enable robust image manipulation. It takes text descriptions as input and generates corresponding images. This fusion of text-to-image generation allows for more precise and controlled image manipulation. The model uses a two-step approach, first generating latent noise, and then refining it to generate the final image. DiffusionCLIP improves on previous methods by mitigating mode collapse, allowing for diverse image outputs, and producing more accurate and coherent images. Overall, DiffusionCLIP provides a powerful tool for creating and manipulating images based on textual descriptions.

Use cases

The DiffusionCLIP model has several possible use cases for a technical audience. One use case is in the field of creative design, where designers can use text descriptions to generate initial images that serve as inspiration for further exploration and refinement. The model can also be useful for generating visual concepts for storytelling and animation, where text-based prompts can be used to create key scenes or characters. In the field of e-commerce, the model can be utilized to generate realistic product images based on textual descriptions, allowing for quicker and more efficient prototyping. Additionally, the model can be applied in the field of computer graphics and virtual reality, where it can be used to generate realistic scenes and environments based on textual inputs, enabling faster content creation and reducing the need for extensive manual design work. Overall, the DiffusionCLIP model opens up possibilities for new tools and products that leverage the combination of text and image generation, enabling more precise and controlled image manipulation, creativity, and efficiency in various industries.


Cost per run
Avg run time
Nvidia T4 GPU

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Summary of this model and related resources.

Model NameDiffusionclip
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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$0.0451
Prediction HardwareNvidia T4 GPU
Average Completion Time82 seconds