How to edit my face with AI 1 Open Facetune Launch Facetune on your device. 2 Upload your photo Choose a selfie or portrait to edit. 3 Select editing tools Explore the AI face editor for makeup, retouching, or
Turn your selfies into AI models and create unique AI-generated images of people, instant avatars, rendered characters, and more. Customize elements like clothing, hair, age, or use custom keywords to fine-tune your model.
AI Face Pixel, 3D: Evolution AI Face Pixel, 3D: Evolution is an application that generates various iterations of images. Users can input prompts to add diversity to the uploaded images according to the prompt. Both dark mode and light mode are supported for a seamless viewing experience. Users...
Site URL string Root site url (Example: https://westus.api.cognitive.microsoft.com ).If not specified site url will be defaulted to 'https://westus.api.cognitive.microsoft.com'.Throttling LimitsExpand table NameCallsRenewal Period API calls per connection 1200 60 secondsActionsExpand table A...
400 api_not_implemented:Bad request, possibly due to missing or invalid parameters. 401 invalid_token:Unauthorized, invalid or missing authorization token. 429 too_many_requests:Too many requests, you have exceeded the rate limit. 500 api_error:Internal server error, something went wrong on the ...
2.AI draw and process the picture 3. Generate avatar and photo, save to album The composite photo can be set as an avatar for TikTok, Youtube, Instagram, Facebook, Twitter, Tumblr, Pinterest, WhatsApp, Skype, etc. 【Various art effects】 ◆Cartoon Yourself Transform into a cute cartoon,...
FaceApp allows users to make a collection of two or four images in the same frame so that you can make the original image beside the image after applying the effects or adding more than one effect and compare between them. FaceApp - AI Face Editor features Uses the most advanced neural por...
Facebook AI 引入了3DETR和DepthContrast,这两个免费的新模型可以提高 3D 理解力。这些模型通过提供使 3D 理解更容易的通用 3D 架构和不依赖于标签的自监督学习机制,使入门更容易。 3DETR:用于 3D数据建模的转换器 3D 检测转换器,简称 3DETR,是一种转换器架构,可用作检测和分类应用程序的通用 3D 主干。
大概意思就是:在ImageNet数据集上进行无监督学习。首先ImageNet线性分类——对特征进行冻结,训练监督线性分类器;然后迁移到VOC目标检测:Faster R-CNN在VOC 07+12训练集上进行端到端微调,在VOC 07测试集上使用MSCOCO的标准进行评估。所有结果使用标准尺寸的ResNet-50网络。
第四步:从文本函数创建 AI 生成的故事 imageToText函数检索到的照片描述将是故事生成的起点。 使用Hugging Face 模型进行文本生成推理并不是一件容易的事!首先,许多执行模型都禁用了 API:其次,文本生成推理根据选择的模型遵循不同的规则。 测试了其中的20个,最终决定选择togethercomputer/RedPajama-INCITE-Chat-3B-v...