For the full code with all of the steps in this demo, see the Introduction to JumpStart – Text to Image example notebook. To fine-tune and deploy the model in SageMaker Studio Lab, please refer to the following GitHub repo. Train and fine-tune the Stable D...
Prompt weighting is a technique supported by Stable Diffusion that gives users fine control over their prompt. Using prompt weight, you can tell Stable Diffusion where to pay more attention and where to pay less. Example Prompt 1: A hybrid between a Shiba inu:0.7 and a polar bear, photograph...
在训练期间,冻结图像编码器,联合训练 BLIP-2 多模态编码器以及Stable Diffusion的文本编码器和U-Net。为了更好地保留原始文本到图像的生成能力,以 15% 的概率随机删除主题提示,仅使用文本提示来引导扩散模型。 2). 使用OpenImage-V6 (292K)数据集预训练。 3). 使用从网上爬取的59K张图片作为随机背景 4). ...
This study proposes a method to mitigate such issues by fine-tuning the Stable Diffusion 3 model using the DreamBooth technique. Experimental results targeting the prompt "lying on the grass/street" demonstrate that the fine-tuned model shows improved performance in visual evaluation and metrics ...
And if DALL·E 2 sparked your interest enough to make you wonder if it can replace humans, watch this video: Stable Diffusion Stable Diffusion is a revolutionary text-to-image model much like the DALL·E 2 model, with one very significant difference—it is open source (unlike DALL·E 2)...
Figure 1. (a) ReCo extends pre-trained text-to-image models (Stable Diffusion [34]) with an extra set of input position tokens (in dark blue color) that represent quantized spatial coordinates. Combining position and text tokens yields the region-controlled text input, which can specify a...
This repository hosts the code and resources associated with our on multiple-object generation and attribute binding in text-to-image generation models like Stable Diffusion.AbstractText-to-image diffusion models have shown great success in generating high-quality text-guided images. Yet, these models...
Popular text-to-image AI models can be prompted to ignore their safety filters and generate disturbing images. A group of researchers managed to get both Stability AI’sStable Diffusionand OpenAI’sDALL-E 2text-to-image models to disregard their policies and create images of n...
1) Upload a sketch I did with pencil (or a very simple rough painting), and have the AI generated image make a photoreal painting that follows the general deisgn of my sketch. COntrol net is a similar function in stable diffusion. 2) The ability to make variations of one of my ...
The table1 shows the outcomes of zero-shot evaluations of Stable Diffusion (SD) translations on the Multilingual-General-18 (MG-18) dataset. The SD model performs well when asked to generate images from general text inputs in differents languages, but its performance is lower for cultural text...