The DeepFloyd IF model has several potential use cases in the field of text-to-image generation. For example, it could be used in the creation of visual content for various applications such as graphic design, marketing, and advertising. It could also be used in virtual reality and video game development to generate realistic and immersive visual environments based on textual descriptions. Additionally, the model could find utility in generating visual aids for educational materials, automating the creation of illustrations for books or articles, and assisting artists in visualizing their ideas before creating actual physical artwork. Overall, the DeepFloyd IF model offers a range of possibilities for practical applications and could enable the development of innovative products in various industries.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Llama 2 13b Embeddings||$?||172,645|
|Codellama 7b Instruct Gguf||$?||46|
|Llama 2 13b Chat Gguf||$?||1,352|
|Codellama 34b Instruct Gguf||$?||60|
You can use this area to play around with demo applications that incorporate the Deepfloyd If 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 Name||Deepfloyd If|
The DeepFloyd IF model has been initially released as a non-commercial rese...Read more »
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||No paper link provided|
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||$0.0966|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||42 seconds|