你可以放入一个二维码以及一个用于文字转化为图片的提示词(或上传自己喜欢的图片),即可生成一张充满美感可以使用的二维码 ️:https://hf.co/spaces/huggingface-projects/QR-code-AI-art-generator 开源更新 ⚡️ Datasets版本更新:v2.13 Hugging Face Datasets 是一个可以轻松访问和共享用于音频,计算机视觉以及自...
Contributing to the Model Hub is made straightforward by Hugging Face's tools, which guide users through the process of uploading their models. Once contributed, these models are available for the entire community to use, either directly through the hub or via integration with the Hugging Face Tr...
你可以放入一个二维码以及一个用于文字转化为图片的提示词(或上传自己喜欢的图片),即可生成一张充满美感可以使用的二维码 🌈🖼️:https://hf.co/spaces/huggingface-projects/QR-code-AI-art-generator 开源更新 ⚡️ Datasets版本更新:v2.13 Hugging Face Datasets 是一个可以轻松访问和共享用于音频,计算机视...
The AI Comic Factory is an online AI Comic Book Generator platform that allows you to generate your own comic book with the help of Hugging Face Space.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. Python 139k 27.8k diffusers Public 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX. Python 27.4k 5.6k datasets Public 🤗 The largest ...
javagenerative-textopenaigenerative-artimage-generationjava-librarygptagentsgpt-3openai-apihugging-facedall-egpt-4large-language-modelsllmstable-diffusiongenerative-aiimage-generator-using-openai-apiopenjourneylarge-language-model UpdatedOct 18, 2024
In addition, Hugging Faceshared todaythat Stability AI’s Stable Diffusion, another generative AI model for state-of-the-art text-to-image generation and an open-access alternative to the popular DALL-E image generator, now runs an average of 3.8 times faster on 4th Gen Intel Xeon Scalable ...
prompt = "A white tiger, anime style, realism, detailed line art, fine details, solid lines" image = pipe( prompt, num_inference_steps=150, generator=torch.manual_seed(seed) ).images[0] image Figure 9. Image generated using text-to-image autopipeline. AutoPipeline for Image-to-Image ...
generator = run(message, history, system_prompt, max_new_tokens, temperature, top_p, top_k) try: first_response = next(generator) yield history + [(message, first_response)] except StopIteration: yield history + [(message, '')] for response in generator: yield history + [(message, resp...
Hugging Face Transformers12 minute read Try in Colab The Hugging Face Transformers library makes state-of-the-art NLP models like BERT and training techniques like mixed precision and gradient checkpointing easy to use. The W&B integration adds rich, flexible experiment tracking and model versioning...