Articles

  • Aug 21, 2024 | blog.paperspace.com | James Skelton |AutoModel ForCausalLM

    FLUX has been taking the internet by storm this past month, and for good reason. Their claims of superiority to models like DALLE 3, Ideogram, and Stable Diffusion 3 have proven well founded. With capability to use the models being added to more and more popular Image Generation tools like Stable Diffusion Web UI Forge and ComyUI, this expansion into the Stable Diffusion space will only continue. Since the model's release, we have also seen a number of important advancements to the user workflow.

  • Aug 7, 2024 | blog.paperspace.com | James Skelton

    We have talked a lot about the capabilities and potential of Deep Learning Image Generation here on the Paperspace by DigitalOcean Blog. Not only are image generation tools fun and intuitive to use, but they are one of the most widely democratized and distributed AI models available to the public. Really, the only Deep Learning technology with a larger social footprint are Large Language Models.

  • May 31, 2024 | blog.paperspace.com | James Skelton

    Creating and deploying Deep Learning model serving applications is one of the best and most frequent use cases for Paperspace customers. Managing and running these with Deployment's makes it simpler and faster to spin up your apps than anywhere else on the web. We've talked extensively here on the Paperspace Blog about the utility of the Deployment's product, and we recommend reading more about it here.

  • May 24, 2024 | blog.paperspace.com | James Skelton

    One of the most popular, recent applications of diffusion modeling is StoryDiffusion. This project aims to give more control over to the user when chaining sequential diffusion model text-to-image generations, conserving characteristics of a character or style in order to help facilitate a visual narrative. Because the method is so versatile and plug-and-play, it can be combined with PhotoMaker for an even greater degree of fidelity in the final output.

  • May 9, 2024 | blog.paperspace.com | James Skelton

    We have been living in a Golden Age of text-to-image generation for the last few years. Since the initial release of Stable Diffusion to the open source community, the capability of the technology has exploded as it has been integrated in a wider and wider variety of pipelines to take advantage of the innovative, computer vision model. From ControlNets to LoRAs to Gaussian Splatting to instantaneous style capture, it's evident that we this innovation is only going to continue to explode in scope.

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