# High Resolution

ChatIMG is an AI image generation platform utilizing ChatGPT 4o technology, focusing on transforming photos or ideas into Studio Ghibli-style artwork. It employs an advanced diffusion model, supporting ultra-high-resolution image generation, suitable for professional art creation. The product aims to enable anyone to create high-quality visual content to meet personal and commercial needs, with flexible pricing strategies to suit different users.

FlashVideo is a deep learning model focused on efficient, high-resolution video generation. Its staged generation strategy first creates a low-resolution video, which is then enhanced to high resolution using an upscaling model. This approach significantly reduces computational costs while maintaining detail. This technology holds significant promise for video generation, especially in scenarios requiring high-quality visual content. FlashVideo is suitable for a variety of applications, including content creation, advertising production, and video editing. Its open-source nature allows researchers and developers to customize and extend its functionality.

Prompt Depth Anything is a method for high-resolution and high-precision depth estimation. This method unlocks the potential of depth foundational models through prompting techniques, using iPhone LiDAR as a cue to guide the model in generating precise depth measurements of up to 4K resolution. Additionally, it introduces a scalable data pipeline for training and has released a more detailed ScanNet++ dataset with depth annotations. The main advantages of this technology include high-resolution and high-precision depth estimation, along with benefits for downstream applications such as 3D reconstruction and generalized robotic grasping.

Sana is a text-to-image framework developed by NVIDIA, capable of efficiently generating images with resolutions up to 4096×4096. It synthesizes high-resolution, high-quality images at remarkable speeds while maintaining robust text-image alignment, making it deployable on laptop GPUs. The Sana model is based on linear diffusion transformers, utilizing pre-trained text encoders and spatially compressed latent feature encoders, supporting Emoji, Chinese, and English inputs, as well as mixed prompts.

Sana-1.6B is an efficient high-resolution image synthesis model based on linear diffusion transformer technology, capable of generating high-quality images. Developed by NVIDIA Labs, it employs DC-AE technology and boasts a potential space of 32 times, allowing it to run on multiple GPUs and deliver powerful image generation capabilities. Renowned for its efficient image synthesis and high-quality output, Sana-1.6B is a significant technology in the image synthesis field.

Sana is a text-to-image framework capable of efficiently generating images with resolutions up to 4096×4096. It synthesizes high-resolution, high-quality images at an incredibly fast speed while maintaining strong text-image alignment and can be deployed on laptop GPUs. The core design of Sana includes a deep compressed autoencoder, a linear diffusion transformer (DiT), a small language model as a decoder-only text encoder, and efficient training and sampling strategies. Compared to modern large diffusion models, Sana-0.6B is 20 times smaller and measures throughput over 100 times faster. Additionally, Sana-0.6B can be deployed on a 16GB laptop GPU, generating images at 1024×1024 resolution in less than 1 second. Sana makes low-cost content creation feasible.

Image Maker AI is an AI-based image generation platform that leverages advanced transformer models and the latest AI research from BlackForestLabs, catering to a wide range of needs from high-end professional projects to speedy personal use. The technology features 1.2 billion parameters and multiple model variants, including FLUX.1 [Pro], [Dev], and [Schnell], optimizing prompt adherence, detail, and output diversity. Image Maker AI allows users to input text prompts, select styles, and generate high-resolution, detail-rich, realistic images suitable for various applications, from personal projects to professional uses. All images generated by Flux are royalty-free, allowing use for personal or commercial purposes without copyright concerns.

CogVideoX1.5-5B-SAT is an open-source video generation model developed by the Knowledge Engineering and Data Mining team at Tsinghua University. It is an upgraded version of the CogVideoX model, supporting the generation of 10-second videos as well as videos in higher resolutions. The model includes modules such as Transformer, VAE, and Text Encoder, enabling video content generation based on textual descriptions. With its powerful video generation capabilities and high-resolution support, the CogVideoX1.5-5B-SAT model provides a robust tool for video content creators, with broad application prospects in education, entertainment, and commercial fields.

FLUX 1.1 [pro] is a high-resolution image generation model capable of producing images up to 4MP while maintaining a generation time of just 10 seconds per sample. The FLUX 1.1 [pro] – ultra mode can generate images at four times the standard resolution without sacrificing speed, and performance benchmarks show it generates images over 2.5 times faster than comparable high-resolution models. Additionally, the FLUX 1.1 [pro] – raw mode offers creators pursuing realism a more natural and less synthetic image generation effect, significantly enhancing diversity in characters and the authenticity of natural photography. The model is competitively priced at $0.06 per image.

Mochi 1 is a cutting-edge open-source AI video generator developed by Genmo, allowing creators to generate high-quality, realistic videos using text and image prompts. With its superior prompt adherence and smooth motion effects, Mochi 1 makes AI video generation accessible to everyone. It aims to compete with other industry models, offering creators more control and better visual outcomes.

IC-Light V2 is a series of IC-Light models based on Flux, featuring a 16ch VAE and native high-resolution technology. This model shows significant improvements over its predecessors in terms of detail preservation and stylized image processing. It is particularly suited for applications that require stylization while maintaining image details. Currently, this model is released for non-commercial use, primarily targeting individual users and researchers.

Hallo2 is a facial animation technology based on a latent diffusion generative model, generating high-resolution, long-duration videos driven by audio. It expands upon Hallo's capabilities by incorporating several design improvements, including the generation of long videos, 4K resolution outputs, and enhanced expression control through textual prompts. Key advantages of Hallo2 include high-resolution output, long-duration stability, and enhanced control via textual prompts, making it significantly beneficial for generating diverse and rich portrait animation content.

CogView3 is a text-to-image generation system built on a cascaded diffusion framework. This system decomposes the high-resolution image generation process into multiple stages, adding Gaussian noise to low-resolution outputs, which initiates the diffusion process from these noisy images. CogView3 surpasses SDXL in image generation, featuring faster generation speeds and higher image quality.

Follow-Your-Canvas is a video upscaling technology based on a diffusion model that can generate high-resolution video content. This technology addresses GPU memory limitations through distributed processing and spatial window merging while maintaining both spatial and temporal consistency in the video. It excels in large-scale video upscaling, significantly enhancing video resolution (e.g., from 512 x 512 to 1152 x 2048) while delivering high-quality and visually pleasing results.

FIFO-Diffusion is a novel inference technique based on pre-trained diffusion models for text-conditioned video generation. It enables the generation of videos of unlimited length without training, by iteratively executing diagonal denoising while handling an increasing level of noise across a series of consecutive frames within a queue. The methodDequeues a fully denoised frame from the head, while enqueueing a new random noise frame at the tail. Additionally, latent disentanglement is introduced to reduce the training-inference gap, and future denoising is utilized to leverage the benefits of forward references.

This is a SDXL-based ControlNet Tile model trained on the Hugging Face Diffusers dataset and is compatible with Stable Diffusion SDXL ControlNet. It was initially developed for my own realistic model training, used in the ultimate upscaling process to enhance image details. With the right workflow, it can provide good results for high-detail, high-resolution image repair. As most open-source models lack SDXL Tile models, I decided to share this one. This model supports high-resolution repair, style transfer, and image enhancement functions, providing you with a high-quality image processing experience.

PIXART-Σ is a diffusion transformer model that directly generates 4K resolution images. Compared to its predecessor PixArt-α, it offers higher image fidelity and better alignment with text prompts. The key features of PIXART-Σ include an efficient training process, where it evolves from a 'weaker' baseline model to a 'stronger' model by leveraging higher-quality data in a process called 'weak-to-strong training'. Improvements in PIXART-Σ include the use of higher-quality training data and efficient label compression.

ClarityAI.cc is a high-resolution image enhancement tool powered by cutting-edge AI technology. It can enhance image details and provide ultra-high resolution. Applicable to a variety of scenes including landscapes, portraits, illustrations, anime, and interior design. Free options are available.

LGM is a novel framework for generating high-resolution 3D models from textual prompts or single-view images. Its key insights include: (1) 3D Representation: We propose a multi-view Gaussian feature as an efficient yet powerful representation that can be fused for differentiable rendering. (2) 3D Backbone: We present an asymmetric U-Net as a high-throughput backbone operation for multi-view images, which can be utilized to generate from text or single-view image inputs using multi-view diffusion models. Extensive experiments demonstrate the high fidelity and efficiency of our method. Notably, we achieve high-resolution 3D content generation while maintaining fast rendering speed for 3D objects, even when training resolution is increased to 512x512.

DemoFusion is a high-resolution image generation solution that does not require high costs. By utilizing progressive upsampling, skip residual and expansion sampling mechanisms, DemoFusion extends open-source generative AI models to achieve higher resolution image generation. It boasts user-friendliness, requiring no parameter adjustment or substantial memory, making it accessible to a wide user base. DemoFusion can seamlessly integrate with other applications based on latent diffusion models, enabling controllable high-resolution image generation.

Luosiallen/latent-consistency-model is a model for synthesizing high-resolution images. It uses a small number of inference steps to generate images with good consistency. The model supports custom input prompts and parameter adjustments, enabling the creation of realistic artwork and portraits.

Mimiko is an application that can upgrade and restore old photos. It operates on images according to user input to generate high-resolution graphics. It can also remove image backgrounds, generate graphics from detailed descriptions, and provide answers from specific aspects of an image. Mimiko promises to offer even more features in the future.

AI Image Enhancer & Upscaler is a tool that utilizes advanced AI technology to transform your images into stunning masterpieces. It can enhance image quality, upscale image resolution, achieving clear, fine, and flawless results. Not only can it be used for personal photo enhancement, but it is also suitable for image processing needs in various fields such as professional photography, cartoon/anime creation, e-commerce stores, real estate, and more. The product pricing is flexible and caters to different user groups.

Leveraging powerful AI technology, our tool quickly upscales images and enhances details, improving image quality to meet both personal and commercial needs. We preserve image texture and enhance it in a realistic manner. We offer options to upscale your images by 2x or 4x while maintaining the integrity of texture and detail. Whether you're a professional, e-commerce vendor, or individual user, our tool makes it easy to enhance your image quality.