文本到图像技术在实际应用中具有广泛的应用,如电影场景生成、游戏场景生成、商品设计等等。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...
文本到图像模型(Text-to-image model)是一种机器学习模型,它将自然语言描述作为输入并生成与该描述匹配的图像。由于深度神经网络的进步,此类模型在 2010 年代中期开始开发。2022 年,最先进的文本到图像模型的输出,例如 OpenAI 的DALL-E 2、Google Brain 的Imagen和 StabilityAI 的Stable Diffusion开始接近真实照片和手...
HuggingFaceTextGenerationService HuggingFaceTextGenerationStreamMetadata Microsoft.SemanticKernel.Connectors.Kusto Microsoft.SemanticKernel.Connectors.Milvus Microsoft.SemanticKernel.Connectors.MistralAI Microsoft.SemanticKernel.Connectors.MistralAI.Client Microsoft.SemanticKernel.Connectors.MongoDB ...
https://github.com/huggingface/diffusers Pytorch 关联比赛 本作品采用知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议进行许可,转载请附上原文出处链接和本声明。 本文链接地址:https://www.flyai.com/paper_detail/61242 赞 FlyAI小助手 3
A fine tune version of Stable Diffusion model on self-translate 10k diffusiondb Chinese Corpus and "extend" it translationdeep-learningdatasetvaechinesenmtunetclipstyletransferhuggingfacetext-imagetexttoimagehuggingface-transformersstable-diffusiondiffusers ...
Figure 1. Images generated using the personalized text-to-image models. We generate a personalized image using the input image representing the personal concept and the text prompt. We fine-tune the text-to-image model to ensure that the identifier <V> embedded in the prompt can encapsulate in...
Usage (HuggingFace Transformers) Withouttext2vec, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. ...
3. After clicking on an image an asynchronous request will be sent to a HuggingFaceSalesforce/blip-image-captioning-baseImageToText model to process and generate a description of the image, it may take a few seconds. 4. Since HuggingFace with its inference API creates a common interface for ...
Huggingface'stransformerslibrary is a great resource for natural language processing tasks, and it includes an implementation of OpenAI'sCLIP modelincluding a pretrained modelclip-vit-large-patch14. The CLIP model is a powerful image and text embedding model that can be used...
Practice:https://huggingface.co/blog/zh/dreambooth 一、研究背景 当前的text-to-image模型得益于在大规模图像文本对上学到的先验知识,在给定一个句子的情况下能够很好地生成对应语义的图片。然而当给定指定参考图片后,它们无法很好地生成在不同场景下类似的图片。