A function to load all diffusion artifacts ''' vae = AutoencoderKL.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="vae", torch_dtype=torch.float16).to("cuda") unet = UNet2DConditionModel.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="unet", torch_dtype=torch....
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...
可控图像生成(Controllable Image Generation)指通过控制条件(conditions)引导图片生成,常见的包括text2image(如Stable Diffusion、Imagen等文生图)、sketch2image等等,本文介绍的“精细化”可控图片生成指使用包括文字和更精细化的控制条件(物体框、人体姿态、草图、边缘图、深度图等)同时引导图片生成的工作。 总结来看,condit...
Please refer to theHow to use Stable Diffusion in Apple Siliconguide. Quickstart Generating outputs is super easy with 🤗 Diffusers. To generate an image from text, use thefrom_pretrainedmethod to load any pretrained diffusion model (browse theHubfor 30,000+ checkpoints): ...
the-partnership-amazon-sagemaker-and-hugging-face.md time-series-transformers.md train-decision-transformers.md transformers-design-philosophy.md us-national-ai-research-resource.md vision-transformers.md vision_language_pretraining.md vq-diffusion.md warm-starting-encoder-decoder.md wav2vec2...
I ran two different Stable Diffusion models for image-to-image generation, hosted on Hugging Face*. Though both models are used primarily for text-to-image, they both work on image-to-image as well: Stability AI* with Stable Diffusion v2–1 ...
Diffusion models, including Glide, Dalle-2, Imagen, and Stable Diffusion, have spearheaded recent advances in AI-based image generation, taking the world of “AI Art generation” by storm. Generating high-quality images from text descriptions is a challenging task. It requires a deep understanding...
In this tutorial, we’ll delve into three pivotal components of the Hugging Face Diffusers library (shown inFigure 3). Figure 3:Source: Image by the Authors. The Role of the Model:Simplifying the complexity, the model in a diffusion process, particularly in a type known as “DDPM,” is ...
You will be prompted to enter your Hugging Face access token. If you don’t have one, you can create oneon the Hugging Face website. Importing Required Dependencies We now import the required dependencies, which include diffusers, StableDiffusionImg2ImgPipeline, EulerDiscreteScheduler, Path, Imag...
Stable Diffusion is a latent diffusion where the model learns to recognize shapes in a pure noise image and gradually brings these shapes into focus if the shapes match the words in the input text. The text must first be embedded into a latent space using a ...