Abstract: Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic, high-resolution images that faithfully adhere to the corresponding text-prompts.

The optimal approach for fixing (maintaining consistency and reproducing) an original character (OC) in AI image generation varies depending on the tools and models used (Stable Diffusion, NovelAI, ...

Abstract: We present HeadArtist-VL, a 3D head generation method that suits either vision or language input. With a landmark-guided ControlNet serving as a generative prior, we come up with an ...

The foundation of AI Render is built on Reallusion’s custom node for ComfyUI, enabling a seamless two-way connection between your AI workflow and Reallusion’s 3D tools. It transfers full 3D scene data ...

There are times when you have to generate images over and over again to get the pose you have in mind, right? By using ControlNet, you can extract the pose from a reference image and generate an image ...

Reference isn't working in both txt2img and img2img when using CFG++Samplers. Am I the only one having this problem? If anyone else has the same issue or knows a ...

We developed PtosisDiffusion, a training-free workflow that combines face mesh with ControlNet for accurate post-operative predictions, and evaluated it using 39 preoperative photos from ...

Existing diffusion-based video editing models have made gorgeous advances for editing attributes of a source video over time but struggle to manipulate the motion information while preserving the ...

The past few years has witnessed a rapid advancement in the performance, efficiency, and generative capabilities of emerging novel AI generative models that leverage extensive datasets, and 2D ...