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...
Added significant flexibility for Hugging Face Hub based timm models via model_args config entry. model_args will be passed as kwargs through to models on creation. See example at https://huggingface.co/gaunernst/vit_base_patch16_1024_128.audiomae_as2m_ft_as20k/blob/main/config.json Usage...
This type of model is also commonly referred to as image encoder. For loading the model, we leverage the AutoModel class. It provides an interface for us to load any compatible model checkpoint from the Hugging Face Hub. Alongside the model, we also load the processor associated wit...
More details on the training can be found on theStability AI Stable Diffusion v2–1 Hugging Face model card. I wanted to mention that I have repeated this description from aprevious articleon text-to-image stable diffusion, as it is the same model. Runway ML with Stable Diffusion v1–5 M...
2. Hugging Face Image Sample will be within samples folder in the solution folders. 3. On the Debug Menu bar select theHuggingFaceImageTextExampleproject as starting and click to run Using the Sample: Upon launching the application, a folder selection prompt will be asking for a folder with ...
In this article, we discuss how to build a Stable Diffusion image generation pipeline using SageMaker Studio Labs, Hugging Face, and Roboflow.
我们的新工作(DA-CLIP)结合了vision-language和diffusion用于通用图像复原,以后会出一个单独的讲解,感兴趣的可以提前关注一波哈。目前有Colab,Hugging face和Replicate demo可以玩,项目地址如下: Controlling Vision-Language Models for Universal Image Restoration === 手动分割线 === Paper: Image Restoration with Me...
This Guidance shows how to convert images to text and speech with machine learning and generative AI services on AWS. Converting images to text is done with the help of Amazon Kendra, a search engine that can be used to index an image repository and search for data. Next, generative AI ...
unified sequence-to-sequence pre-trained machine learning model OFA (One For All) fromHugging FacetoAmazon SageMakerfor image caption Amazon Rekognitionfor facial recognition For a more detailed overview of why we chose a serverless architecture, synchronous workflow, e...
The Hugging Face Diffusers library, renowned for its versatility, is capable of accomplishing a multitude of tasks. Remarkably, the same pretrained weights can often be employed for varied tasks like text-to-image, image-to-image, and inpainting. However, for those new to the library or diffusi...