UniFL

A project aimed at improving the quality of generative models and accelerating inference speeds.

CommonProductImageGenerative ModelImage Quality

UniFL is a project designed to enhance the quality of generative models and accelerate inference speeds. It effectively addresses the existing issues of image quality, aesthetic appeal, and inference speed in current diffusion models through three key components: perceptual feedback learning, decoupled feedback learning, and adversarial feedback learning. Through experimental validation and user studies, UniFL has demonstrated significant performance improvements and strong generalization capabilities across multiple diffusion models.

Best AI Websites & Tools

UniFL

UniFL Visit Over Time

UniFL Visit Trend

UniFL Visit Geography

UniFL Traffic Sources

UniFL Alternatives

SeedEdit — A large diffusion model for revising images based on text prompts.

Stable Diffusion 3.5 Medium — A multimodal diffusion transformer model for generating images based on text.

PanoFree — No tuning required for panoramic multi-view image generation

AuraFlow — An open-source, streaming-based text-to-image generation model

PROTEUS — Real-time Expression Generation Humanoid Model

PCM — A novel text-conditioned high-resolution generation model

Imagen 3 by Google — Imagen 3 is our highest-quality text-to-image model, capable of generating images with better details, richer lighting, and fewer artifacts.

Lumina-T2X — A unified text-to-any-modal generation framework

Clipdrop Image Upscaler — Upgrade, denoise, and enhance your images in seconds.

TextCraftor — Text encoder fine-tuning technique, enhancing the performance of text-to-image generation models.

Champ — Champ: A generative model for generating 3D object shapes

StreamingT2V — StreamingT2V: Consistent, dynamic, and scalable long video text generation

Mistral-7B-Instruct-v0.2 — A large language model based on instruction-tuning

Command-R — Command-R is a new LLM designed for large production workloads, optimized for RAG (Retrieval Augmented Generation) and tool use to achieve enterprise-grade production-scale AI.

Trajectory Consistency Distillation (TCD) — A consistency distillation technique to improve the quality of text-to-image synthesis.

Stable Video Diffusion 1.1 Image-to-Video — The SVD 1.1 Image-to-Video model generates short videos.

Orthogonal Finetuning (OFT) — OFT effectively stabilizes text-to-image diffusion models during fine-tuning

3DTopia — Text to 3D generation within 5 minutes

Make-A-Shape — A million-level 3D shape model

Rethinking FID — Rethinking FID: A Better Evaluation Metric for Image Generation

CogView — A Pre-trained Transformer Model for General-Lensity Text-to-Image Generation Based on Transformer

COMOSVC — A singing pitch transformation technology based on consistency models

Generative Powers of Ten — Generates videos with multi-scale continuous zoom based on text descriptions.

RealFill — Reference-driven generation for realistic image inpainting

Musenet — Generates 4-minute musical compositions combining diverse musical styles and instruments.

CM3leon by Meta — A more efficient and advanced text-to-image and image-to-text generation model.