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Disco Diffusion 本身是个免费的开源软件,但如果你想要更快的出图速度,可以买谷歌 Colab 会员,以分配到更快的云端计算资源。 除了只输入文字让 AI 自由发挥,你还可以事先垫进一张初始化图片(Initial Image)去约束 AI 的创作。.

google的colab是在云端运行的,已经配置好了服务器,非常方便。但是还有一些问题,一个是时常会断,以及disco diffusion在云端能生成的图片太小了。如果你本机有一个不错的显卡,那么就可以把colab部署到本地,这样就可以解决这些问题了。.

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这里是 Disco Diffusion 的小组,Disco Diffusion 是一款利用人工智能深度学习进行数字艺术创作的工具,该工具发布于 Google Colab 平台,是一款基于 MIT 许可协议的开源工具,目前最新的版本是 Disco Diffusion v5.3,支持云端运行和本地运行。. Disco Diffusion is a great another AI modeling technique that can be used to covert Text-to-Image using prompts that describe the scene. There is a lot of information out there so its often difficult to. Disco Diffusion: Model Scheduling. [update 2022-07-15 — Added additional model combinations in the There is, however, another world of open source tools largely powered by Google Colab or.

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Disco Diffusion由艺术家Somnai设计,程序背后是CLIP人工智能图像生成技术,其运行在Google Colab (云端运行的笔记本环境) 之中,这意味着使用者不需要有性能强劲的渲染设备,只要网络稳定就能使用这款AI绘画工具。. getting the latest versions of disco diffusion to work locally, instead of colab. including how i run this on windows, despite some linux only dependencies ;) from githubhelp. Disco Diffusion v4.1 Google Collab NotebookResource (colab.research.google.com). submitted 2 months ago by RelaxedOrangeArtist.

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Disco Diffusion is a great another AI modeling technique that can be used to covert Text-to-Image using prompts that describe the scene. There is a lot of information out there so its often difficult to. 45 min. read(or just look at the 757 images) In short, Disco Diffusion is a Google Colab notebook that you can reuse for free to generate images from text. You can see it as artificial intelligence, as machine learning, as an assemblage of algorithmic techniques. You can also see it as a notebook additively modified Continue reading Into prompt engineering for. Disco Diffusion. A frankensteinian amalgamation of notebooks, models and techniques for the Focus on running from Windows, Linux, Google Colab, and Docker via either CLI or Notebook.

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Disco Diffusion A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations. [to be updated with further info soon] Contributing This project uses a special conversion tool to convert the. 2 Minutes Tutorial to Apply an ARCANE Effect to your Sketches with Google Colab (for free) Meditating Witches, 8 Watercolor Sketches made with Disco Diffusion AI (+ Slideshow Clip of 24 Pict) 7 Abstract Science-Fiction Paintings made with Disco Diffusion. Japanese Science-Fiction Streets, with Disco Diffusion.

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    先科普一下Disco Diffusion 公開在Google Colab平台 人工智慧繪圖軟體. 目前免費只要你有Google的帳號. 當然也有付費的選項只不過只是要來玩一玩的話應該是用不到的. 只要你敘述一些文字他就會幫你生出一幅畫. 平常我都是拿來弄一些風景畫比如下面. 有一天我突發奇.

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    Disco Diffusion 是在今年 2 月初开始流行的一个 AI 图像生成程序,它可以根据描述场景的关键词渲染出对应的图像,开发者是艺术家兼程序开发员 @Somnai_dreams 。. 这款程序的特点在于:它直接托管在谷歌的 Colaboratory 上的,即整个程序是直接在浏览器中编写和运行.

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    Colab Pro is perfect for the average user but I do not need hours of rendering and reams of product. What would I use it for? I have little interest in Cyberpunk images and concentrate on reproducing.

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Disco Diffusion (DD) is a Google Colab Notebook which leverages an AI Image generating technique called CLIP-Guided Diffusion to allow you to create compelling and beautiful images from just text inputs. Created by Somnai, augmented by Gandamu, and building on the work of RiversHaveWings, nshepperd, and many others. It’s magic. We are excited to further test the limits of diffusion models for a wide variety of generative modeling problems. For more information on our work, please visit Image Super-Resolution via Iterative Refinement and Cascaded Diffusion Models for High Fidelity Image Generation. Acknowledgements:.

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where "somefolder" is the folder on your drive where you've put the model. Check that Models Settings -> diffusion_model: custom. is set and then press ctrl+f9 to run all cells. Mount your drive when asked to, and wait for your first.

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4. In Google Colab you just need to specify the use of GPUs in the menu above. Click: Edit > Notebook settings >. and then select Hardware accelerator to GPU. At that point, if you type in a cell: import tensorflow as tf tf.test.is_gpu_available () It should return True. Share.

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getting the latest versions of disco diffusion to work locally, instead of colab. including how i run this on windows, despite some linux only dependencies ;) from githubhelp.

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Disco Diffusion 4.1 now includes animation toggle, video input, run resume/recovery, diffusion sharpening and a much neater UI. Been in testing for a few days on the VQLIPSE discord, but let me know if you run into any bugs.

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他用的工具是 Disco Diffusion,一个仅靠文字就能生成画作的 AI。 我带着疑问和期待,直奔电脑,随手搜了一个快速入门教程。 简单来说, 我只要打开浏览器,在网页上写好描述目标画作的关键词,然后就等着云端算力(对计算机硬件无要求)帮我渲染、生成,接着就能收图.
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这是用Google开发一个名为Disco Diffusion的系统,目前是V5版本。 网址。 https://colab.research.google.com/github/alembics/disco-diffusion/blob/main.
第六步: 本地运行Colab 安装好上面的东西后就可以直接运行了,这里需要梯子连接着Colab,它会自动下载所有缺少的环境文件和训练好的模型文件,大约14G左右,大伙可以根据自己的网速来,如果实在是下不下来需要我分享的话,我再看有没有啥好办法。.
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By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism to control the image generation process without retraining. However, since these models typically.
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我用的是 Disco Diffusion, 这是一个可以运行在Colab(谷歌的云端电脑,用浏览器就能访问),也可以运行在本地(对显卡有要求)的程序 。我看有同学说他电脑装的是下面这种显卡,本地跑Disco Diffusion 可以实现几分钟出一张图,超快。.
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Maybe that would be a cool feature for Disco Diffusion... I'm also wondering if it'd be worthwhile to get an RTX 3090 since the performance would seem to be on par with Colab Pro+ (though P100s only have 16GB VRAM), and I can have multiple notebooks running there. I could run on Colab Pro+ for 26 months for the price of an RTX 3090 ($1,300).
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The first Al image generator we'll use is Disco Diffusion. It runs off of the Google Colab platform, and it's free to use with basic functionality or if you use it with your own GPU. YouTube has plenty of beginner's guides that will tell you how to set up the basics, so our focus in this tutorial will be more on how to go from there.
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We are excited to further test the limits of diffusion models for a wide variety of generative modeling problems. For more information on our work, please visit Image Super-Resolution via Iterative Refinement and Cascaded Diffusion Models for High Fidelity Image Generation. Acknowledgements:.
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