predinzip(labels,preds)])logger.debug(f"match: {match}")returnmatchmodel.train_model(train_df,...
and introducing regularization from classifier-free guidance. Our extensive experiments on MS-COCO show that our model with $8$ denoising steps achieves better FID and CLIP scores than Stable Diffusion v$1.5$ with $50$ steps. Our work democratizes content creation by bringing powerful text-to-image...
Paper: emu-edit.metademolab.com Project web: emu-edit.metademolab.com Code: have not opensource 背景 在发布Emu后,近日,META又发布了两个非常惊艳的工作:EmuEdit、EmuVideo。文本将对EmuEdit相关技术进行总结。 1 核心思想 作者将intruction-base image editing任务建模为生成任务,并用diffusion model进行求解...
in this paper, we turn attention to the emerging powerful Latent Diffusion Models, and model the Talking head generation as an audio-driven temporally coherent denoising process (DiffTalk). More specifically, instead of employing audio signals as the single driving factor, we investigate the control...
The official code for paper "EasyGen: Easing Multimodal Generation with a Bidirectional Conditional Diffusion Model and LLMs" - xiangyu-mm/EasyGen
wget-N http://mirrors.tencentyun.com/install/HAI/install_hai_tools.sh-P/tmp&&bash/tmp/install_hai_tools.sh&&python3/root/hai_application/qcloud_hai/hai_tools/download_models_main.py--model-classcontrolnetAnnotators 2.controlent可以做什么?怎么做?
Code and models for the paper"One Transformer Fits All Distributions in Multi-Modal Diffusion" UniDiffuser is a unified diffusion framework to fit all distributions relevant to a set of multi-modal data in one model. Its key insight is -- learning diffusion models for marginal, conditional, and...
protein, protein pocket. Additionally, a dual diffusion strategy is employed to enable the model to discern atom-wise forces. This strategy involves constructing two types of virtual edges. Firstly, pairs of atoms with interatomic distances below the local thresholdτlare bonded via covalent localized...
We explore using diffusion as a model class for the successor state measure (SSM) of a policy. We find that enforcing the Bellman flow constraints leads to a simple Bellman update on the diffusion step distribution. PDF Abstract Code Edit No code implementations yet. Submit your code now ...
Code AddRemoveMark official nvlabs/edm2official 644 Tasks Edit AddRemove Image Generation Datasets ImageNet Results from the Paper Edit AddRemove Ranked #1 onImage Generation on ImageNet 512x512 Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankBenchmark ...