LLM驱动的 A/H/美股智能分析器，多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本，纯白嫖，定时运行

Diffusion attentive attribution maps for interpreting Stable Diffusion.

Official codebase for "Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention" (CVPR 2023)

InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

High-Resolution Image Synthesis with Latent Diffusion Models

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

DALL·E Mini - Generate images from a text prompt

Let us control diffusion models!

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Vector Quantization, in Pytorch

Taming Transformers for High-Resolution Image Synthesis

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Segment Anything combined with CLIP