而huggingface是NLP领域中非常受欢迎的开源社区之一。Hugging Face社区致力于推动NLP技术的发展,为NLP研究人员、开发者和爱好者提供高质量的NLP工具和模型。在这里我们就以huggingface的开源模型为例完成text-to-image的实例操作。 首先使用diffusers来完成模型的导入,具体代码如下所示 ```python from diffusers import Stab...
speech-to-texttext-to-imagewhisperspeechtotextreplicatetexttoimagelarge-language-modelsllmchatgptstability-aiwhisper-ai UpdatedMay 28, 2023 JavaScript This website utilizes the Hugging Face API to generate image descriptions based on user-provided text input. The application is built with HTML, CSS,...
Arxiv: InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists Github: github.com/AlaaLab/Inst HF Demo: InstructCV - a Hugging Face Space by alaa-lab 0 InstructCV 将任务特定的设计(例如架构和损失函数)抽象出来,通过遵循自然语言指令来执行任务。这是通过将所有视觉任务都视...
In the video below, we’ll walk through a compelling demonstration of a simple Windows Forms application, showcasing the innovative ImageToText feature integrated into the Semantic Kernel, introduced together with the latest update on our Hugging Face connector. This sample opens asking for a folder...
More details on the training can be found on the Stability AI Stable Diffusion v2–1 Hugging Face model card. Stability AI with Stable Diffusion XL Base 1.0 Model The Stability AI Stable Diffusion XL Base 1.0 model is another text-to-image stable diffusion model, but with some improvements ...
The pretrained style_adapter weights can be downloaded from🤗 Hugging Face. #!/bin/bashexportEVAL_CKPT="assets/ckpts/cc3m-285000.ckpt"exportADAPTER="path/to/your/style_adapter"exportOUTPUT_DIR="output/for/this/experiment"accelerate launch --num_processes 8 --mixed_precision fp16 train_t2i_...
Perform batch inference with the Hugging Face text classification algorithm Prerequisites Before you run the notebook, you must complete some initial setup steps. Let’s set up the SageMaker execution role so it has permissions to run AWS services on your behalf: ...
论文使用四个Nvidia RTX 3090 GPU和PyTorch库进行实验。为了计算SDS损失,利用了通过Hugging Face Diffusers实现的Stable Diffusion模型。对于DMTET和material编码器,将它们分别实现为两层MLP和单层MLP,隐藏层维度为32。 从椭球体开始进行t...
To build a text summarizer with Gradio and Hugging Face transformers, we need to follow these steps: Import the libraries Create a summarization pipeline Define a function that takes a text and returns a summary Create a Gradio interface Launch the interface Let’s see the code for each step:...
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