9.1 UNet2DModel 9.1 加噪方式 9.3 训练方式 9.5 时间步长调节 9.4 采样 课程主页:GitHub - huggingface/diffusion-models-class: Materials for the Hugging Face Diffusion Models Course 这个课程系列一共有4课,每一课都是一个完整的.ipynb文件,细致讲解扩散模型的代码实现 一、什么是扩散模型? 扩散模型是最近加...
Patrick Esser is a Principal Research Scientist at Runway, leading applied research efforts including the core model behind Stable Diffusion, otherwise known as High-Resolution Image Synthesis with Latent Diffusion Models. Justin Pinkney:Beyond text - giving Stable Diffusion new abilities Ju...
In this free course, you will learn all about the theory and application of diffusion models -- one of the most exciting developments in deep learning this year. If you've never heard of diffusion models, here's a demo to give you a taste of what they can do: To go wit...
前言Stable Diffusion 是用 LAION-5B 的子集(图像大小为512*512)训练的扩散模型。此模型冻结 CLIP 的 ViT-L/14 文本编码器建模 prompt text。模型包含 860M UNet 和123M 文本编码器,可运行在具有至少10GB VRAM 的 GPU 上。接下来实战一下本地部署。本地部署1. 安装环境conda create -n diffenv py ...
BERT GPT 等模型库官网的模型库的地址如下:https://huggingface.co/models ?...tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModel.from_pretrained(model_name...
In this free course, you will learn all about the theory and application of diffusion models -- one of the most exciting developments in deep learning this year. If you've never heard of diffusion models, here's a demo to give you a taste of what they can do: To go ...
TutorialA basic crash course for learning how to use the library's most important features like using models and schedulers to build your own diffusion system, and training your own diffusion model. LoadingGuides for how to load and configure all the components (pipelines, models, and scheduler...
fromtransformersimportAutoTokenizer,GPT2LMHeadModel,AutoConfigconfig=AutoConfig.from_pretrained("gpt2",vocab_size=len(tokenizer),n_ctx=context_length,bos_token_id=tokenizer.bos_token_id,eos_token_id=tokenizer.eos_token_id,) 基于这些配置,我们可以加载一个新的模型。注意到下面加载和缓存模型没有使用函...
How to use the diffusers library to use pre-trained state-of-the-art diffusion models Duration: 30-45 minutes 👉 click here to access the slidesOur Teaching Guide: A Tour Through The 🤗 Hub & GradioIn this video, Nate and Lewis give you a guided tour of Transformers and transfer lear...
Stable Diffusion v1.5: converted original Stable Diffusion v2 base: converted original Core ML supports all the compute units available in your device: CPU, GPU and Apple's Neural Engine (NE). It's also possible for Core ML to run different portions of the model in different devices...