Using Stable Diffusion with Python : Leverage Python to control and automate high-quality AI image generation using Stable Diffusion Andrew Zhu (Shudong Zhu) Can$56.99 4.8 (5 Ratings) Paperback Jun 2024 352 pages 1st Edition eBook Can$40.99 Can$45.99 Paperback Can$56.99 Subscription Fr...
Stable Diffusion is a game-changing AI tool for image generation, enabling you to create stunning artwork with code. However, mastering it requires an understanding of the underlying concepts and techniques. This book guides you through unlocking the full potential of Stable Diffusion with Python. S...
This book offers a comprehensive, Python-based approach to mastering Stable Diffusion for AI image generation. Unlike other resources on this topic that focus mainly on using web interfaces, Using Stable Diffusion with Python delves into the technical aspects of controlling Stable Diffusion programmatica...
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sentences, just like any other word.” [Source] In practice, this gives us the other end of control over the stable diffusion generation process: greater control over the text inputs. When combined with the concepts we trained with Dreambooth, we can begin to really influence our inference ...
TaxDiff: taxonomic-guided diffusion model for protein sequence generation Zongying Lin Hao Li Yonghong Tian Science China Information Sciences (2025) ConoDL: a deep learning framework for rapid generation and prediction of conotoxins Menghan Guo Zengpeng Li Weiwei Xue Journal of Computer-Aided...
Predicting wildfire spread behavior is an extremely important task for many countries. On a small scale, it is possible to ensure constant monitoring of the natural landscape through ground means. However, on the scale of large countries, this becomes pr
从数据集分析,flower 或者 cub的描述通常只是对单一目标进行详细描述,这样但前的几个任务生成的效果是很好的, 但是,在COCO数据集中,由于存在多个目标,而且在一个描述中不包含所有目标的前景背景的细节描述。 像这样的图片,相同的COCO描述,完全不同的图片,缺少更多细节描述 ...
Deploy Stable Diffusion-XL using Inferless: Deployment of Stable Diffusion-XL model usingDiffusers. By using the Diffusers, you can expect an average latency of 2.506 sec. Prerequisites Git. You would need git installed on your system if you wish to customize the repo after forking. ...
While standard RAG focuses on the direct retrieval of chunk embeddings, Graph RAG, Light RAG, and Hyper-RAG also include retrieval from node and correlation vector databases and the time for one layer of graph or hypergraph information diffusion. We averaged the response times over 50 questions ...