Neural engine stable diffusion. 4: converted original; Stable Diffusion v1.

The first pre-processing consisted of implementing the sliding window approach, cropping each image into smaller sub-images to create a dataset of real StableDiffusion does run on M1/M2 without using the CoreML converter: diffusers on MPS documentation . In our model, the layer structure and topology correspond to the discretisation choices of temporal and spatial operators. Found this talk while I was catching up on Apple ML talks from WWDC 2023. Use the ONNX Runtime Extensions CLIP text tokenizer and CLIP embedding ONNX model to convert the user prompt into text embeddings. Stable Diffusion is a text-to-image model that uses a frozen CLIP ViT-L/14 text encoder to tune the model at text prompts. Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. Dec 9, 2022 · They said they could generate an image with M1 Ultra 48-core GPU within 13 seconds. Thinking of GNNs as discrete partial Qualcomm AI Research deploys a popular 1B+ parameter foundation model on an edge device through full-stack AI optimization. Open main menu. Assets 2. Negative prompt Sep 19, 2023 · SoC Tile, Part 2: NPU Adds a Physical AI Engine. Click a thumbnail to view a larger version of it. Diffusion models work by taking noisy inputs and iteratively denoising them into cleaner outputs: Start with a noise image. Deploy. Jan 8, 2024 · Stable Video Diffusion by Stability AI is their first foundation model for generative video based on the image model Stable Diffusion. Install the Tensor RT Extension. Become a Stable Diffusion Pro step-by-step. For example, if you type in a cute Full coding of Stable Diffusion from scratch, with full explanation, including explanation of the mathematics. Embeddings are a numerical representation of information such as text, images, audio, etc. Lithium-ion batteries are typically modeled using electrode theory coupled with various transport mechanisms that the solid-phase diffusion equation represents the main computational The inference script assumes you’re using the original version of the Stable Diffusion model, CompVis/stable-diffusion-v1-4. A Dec 2, 2022 · Stable Diffusion (SD), which launched in August, is an open source AI image synthesis model that generates novel images using text input. No token limit for prompts (original stable diffusion lets you use up to 75 tokens) DeepDanbooru integration, creates danbooru style tags for anime prompts xformers , major speed increase for select cards: (add --xformers to commandline args) This generally takes 15-20 minutes on an M1 MacBook Pro. Stable Diffusion, and others. [1] Since then, all Apple A series SoCs have Neural Engine. Stable Diffusion web UI. In October 2022, Stability AI raised US$101 million in a round led by Lightspeed Dec 2, 2022 · To learn more about how we optimized a model of this size and complexity to run on the Apple Neural Engine, you can check out our previous article on Deploying Transformers on the Apple Neural Engine. Create beautiful art using stable diffusion ONLINE for free. 64/64: The size of the image in latent space (height / width). Note that if you are Hi, I am trying to pace my updates about the app posted here so it didn't clutter this subreddit. 1. Mar 9, 2023 · The first step in using Stable Diffusion to generate AI images is to: Generate an image sample and embeddings with random noise. Fooocus has optimized the Stable Diffusion pipeline to deliver excellent images. Google Research, Brain Team. Stable Diffusion v1. Use this model. . Oct 17, 2023 · In order to use the TensorRT Extension for Stable Diffusion you need to follow these steps: 1. NDPs generalise diffusion models to stochastic processes by allow-ing the indexing of the function’s marginals onto which the model diffuses. ∙ You can remove your account at any In this video we are going to explore using NeRFs (neural radiance fields) in conjunction with imgtoimg to create new 3d objects. Install Stable Diffusion web UI from Automatic1111. 5 architecture. For more information about non-commercial and commercial use, see the Stability AI Membership page Feb 28, 2023 · Mac における stable diffusion も進化を続けた。. Stable Diffusion generates images from text prompts. Dec 1, 2022 · Stable Diffusion v1. Specifically in Keras, this means SD can now take advantage of the ecosystem surrounding Keras and Tensorflow, which includes things like tools for speeding up the model in use and making it easier to build and scale up services that use it. Message passing is a form of diffusion and so GNNs are intimately related to the differential equations that describe diffusion. Secondly, unlike DALL·E mini (Craiyon) and Disco Diffusion, comparable in openness, Stable Diffusion allows you to create photorealistic and aesthetic works of art that are not inferior in quality to OpenAI and Google models. Our image is 512x512 in size but in latent space it occupies 8 times less. Despite their powerful generative capacity, our research has uncovered a lack of robustness in this generation process. The first SoC including Neural Engine is Apple A11 Bionic for iPhone 8, 8 Plus and iPhone X introduced in 2017. Besides that, the theme is best suited Generate AI image for free. 6-bit weight compression using coremltools. , U-Net or Transformer) to promote the generative emergence capabilities of vision generation models similar to large language models (LLMs). Comments: The architecture of stable diffusion takes a multi-model approach and it has three main components each of which has its own neural network. Apple is a supporter of the Stable Diffusion Jun 15, 2023 · It also applies optimizations to the transformers attention layers that make inference faster on the Neural Engine (on devices where it’s available). Upon successful execution, the neural network models that comprise Stable Diffusion's model will have been converted from PyTorch to Guernika and saved into the specified <output-directory>. Our approach allows a principled development of a broad new class of GNNs Apr 18, 2024 · Fooocus: Stable Diffusion simplified. Get API key from ModelsLab API, No Payment needed. 7 seconds, but at a drastically lower power consumption of only 10 watts—a large gain in Stable Diffusion, pytorch, coreML will work on Linux M1 ? Which are the missing parts to run SD on Linux Asahi with hw acceleration ? The Neural Engine is currently being reverse engineered and implemented and the WIP driver can already run ML models on Linux (not yet merged). 5: converted original; Stable Diffusion v2 base: converted original; Stable Diffusion v2. Subsequently, a diffusion process is trained in this MLP weight space to model the underlying distribution of neural implicit fields. e. Thirty-seventh Conference on Neural Information Processing Systems Page 2 Stable diffusion is Unstable Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu Presentation Abstract Recently, text-to-image models have been thriving. 4, v1. This huge gain brings the Automatic 1111 DirectML fork roughly on par with historically AMD-favorite implementations like SHARK. Generate images locally and completely offline. This blog is a part of “Road-maps for Generative AI” series and in this blog we will be starting from the absolute basics of neural networks and guiding you through the pre-requisites, fundamentals of diffusion models to SOTA diffusion models like GLIDE, DALL-E 2, STABLE DIFFUSION, IMAGEN. Sep 27, 2015 · Saved searches Use saved searches to filter your results more quickly ️ expo-stable-diffusion currently only works on iOS due to the platform's ability to run Stable Diffusion models on Apple Neural Engine! ️ This package is not included in the Expo Go. Read part 3: Inpainting. A parameter called 'strength' determines how many inference steps Stable Diffusion adds to the input image, i. 5 to 2. While a basic encoder-decoder can generate images from text, the results tend to be low-quality and nonsensical. The first adapts the ML model to run on Apple Silicon (CPU, GPU, Neural Engine), and the second allows you to easily add Stable Diffusion functionality to your own app. Nov 14, 2022 · Stable Diffusion. SD is a general purpose model. However you can try any you like. Feb 20, 2024 · Diffusion models have achieved remarkable success in image and video generation. Currently, you can find v1. It's designed for designers, artists, and creatives who need quick and easy image creation. If you use another model, you have to specify its Hub id in the inference command line, using the --model-version option. Copy and paste the code block below into the Miniconda3 window, then press Enter. g. It is not one monolithic model. " Foundation models are taking the artificial intelligence (AI Oct 24, 2022 · Combine that with the ability to guide noise removal in a way that favors conforming to a text prompt, and one has the bones of a text-to-image generator. Sep 25, 2023 · Introduction. In this article, I’ll describe how to get a stable diffusion (neural network) model deployed on AWS Lambda, using a pretrained model as the base, specifically one with weights and the inference code…. #1. And they didn't even use the swift package and neural engine! The executed program is python_coreml_stable_diffusion. In 2020, Apple introduced the Apple M1 for Mac [2] and all Apple M series Nov 1, 2023 · These images were then subjected to two pre-processing steps according to the stage of training the neural networks, while the other is addressed to extracting the Stable Diffusion candidates. 3x increase in performance for Stable Diffusion with Automatic 1111. Apr 13, 2023 · Ann is our new WordPress theme created to fit the new reality, as well as it’s created using AI itself. The optimization principles outlined in the article generalize to Stable Diffusion despite the fact that it is 19x larger than the model studied Neural frames creates its animations from an image-2-image loop in which the previous image gets fed into Stable Diffusion and a subsequent image is generated. Apple has created some incredible tooling improvements for their Neural Engine Cor Online. You will discover the principles and techniques The implementation itself is nice to have in a large library, because it’s always good to see pro engineers contribute improvements. Image-to-image (img2img for short) is a method to generate new AI images from an input image and text Jul 27, 2023 · We did experiments on the runwayml/stable-diffusion-v1–5 Stable Diffusion model with a small portion of the LAION-400M dataset for training as well as for quantization parameter initialization Sep 19, 2023 · In contrast, Intel claims, the NPU can complete the same Stable Diffusion task in a slightly longer 20. Visual explanation of text-to-image, image-to- Contribute to bes-dev/stable_diffusion. Stable Diffusion is an AI image generator similar to DALL-E. 5, v2. Width & Height: I recommend a width and height of either 512 or 768 pixels. Notable arguments --model-version: The model version defaults to CompVis/stable-diffusion-v1-4. Tips Preview. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength of diffusion models in high-fidelity image generation. 1 base: converted original; Core ML supports all the compute units available in your device: CPU, GPU and Apple's Neural Engine (NE). 2 Beta 4 include optimizations that let Stable Diffusion run with improved efficiency on the Apple Neural Engine as well as on Neural Engine. To start, we import KerasCV and load up a Stable Diffusion model using the optimizations discussed in the tutorial Generate images with Stable Diffusion. Read part 1: Absolute beginner’s guide. Stable Diffusion is a latent diffusion model, a kind of deep generative neural network developed by the CompVis group at LMU Munich. This works for models already supported and custom models you trained or fine-tuned yourself. 1 models from Hugging Face, along with the newer SDXL. Mar 29, 2023 · Subsequently, a diffusion process is trained in this MLP weight space to model the underlying distribution of neural implicit fields. The last major block on the SoC tile is a full-featured Neural Processing Unit (NPU), a first for Intel's client-focused processors. Learn about the advantages of AI on-device, such as improved user privacy and enhanced application performance. The theme best suits the websites and startups related to Artificial Neural Networks: gaming, AI art generator, machine learning, ChatGPT, OpenAI, AI Engine, DALL·E, Midjourney, Stable Diffusion etc. cd C:/mkdir stable-diffusioncd stable-diffusion. [7] Stable diffusion is unstable AUTHORs : Chengbin Du , Yanxi Li , Zhongwei Qiu , and Chang Xu Authors Info & Claims NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing Systems May 20, 2023 · An example of specialty Neural Style Transfer with cartoon style, Image by author. The Swift package relies on the Core ML model files generated by python_coreml_stable_diffusion. Swift Core ML Diffusers 🧨. This is where Stable Diffusion‘s diffusion model comes into play. Nov 9, 2022 · Core ML optimizes on-device performance by leveraging the CPU, GPU, and Apple Neural Engine (ANE) while minimizing its memory footprint and power consumption. Nov 2, 2022 · Stable Diffusion is a system made up of several components and models. As we look under the hood, the first observation we can make is that there’s a text-understanding component that translates the text information into a numeric representation that captures the ideas in the text. Sampling steps: use a minimum of 20 steps, 25-30 is recommended. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom . 筆者は 9 月ごろ初めて M1 MacBook Air で stable diffusion を試してみた。. stable diffusion prompts: jk_school (raw photo:1 2) ( (photorealistic:1 4)) best quality masterpiece ill. For people who don't know: Draw Things is the only app that supports from iPhone Xs and up, macOS 12. 1 Beta 4 and iOS and iPadOS 16. Dec 2, 2022. The app is highly optimized and runs on the Apple Neural Engine. It either has a narrower connection to Meteor Lake’s Scalable Fabric, or has less capable DMA engines. You can quantize to 8, 6, 4, or even 2 bits! Contributions We propose a novel generative model, the Neural Diffusion Process (NDP), which defines a probabilis-tic model over functions via their finite marginals. Dec 15, 2023 · Deciding which version of Stable Generation to run is a factor in testing. Configure Stalbe Diffusion web UI to utilize the TensorRT pipeline. Img2img is also a paid one. Aug 30, 2023 · Diffusion Explainer is a perfect tool for you to understand Stable Diffusion, a text-to-image model that transforms a text prompt into a high-resolution image. Dec 3, 2022 · For this reason they developed an approach to optimize the Stable Diffusion model, made of four different neural networks including about 1. For example, typing "astronaut on a dragon" into SD will Features. Sep 19, 2023 · That honor would go to Apple, which introduced a neural engine into its A11 Bionic chip back in 2017, and later its Apple M1 Chip in 2020. However, progressively deeper stacked networks will intuitively cause numerical propagation errors and reduce noisy prediction capabilities on generative model: Stable Diffusion 2. , how much Stable Diffusion will change the previous image. It offers various products and platforms based on its pioneering text-to-image model, Stable Diffusion 2. Feb 15, 2023 · Stable Diffusion is under the 225-stable-diffusion-text-to-image folder. Users can input a text prompt and the AI will produce an image that’s often far better than what most of us mere mortals can do. 0, which allows you to create new and unique designs from text commands. まもなく Apple シリコン Mac の GPU が使えるようになり Jul 7, 2023 · Released in 2022, Stable Diffusion V1 is a latent text-to-image diffusion model. It separates the imaging process into a “diffusion” process at runtime- it starts with only noise and gradually improves the image until it is entirely free of noise, progressively approaching the provided text description. Since launching its AI initiative in 2021, the company has amassed a community of more than 140,000 developers and seven research centers around the world. However, most diffusion models learn the distribution of fixed-resolution images. openvino development by creating an account on GitHub. Sep 18, 2022 · Apologies, but something went wrong on our end. We propose to learn the distribution of stable diffusion prompts:Masterpiece 1girl close up big chest temptation shoulder exposed angel light flame background. This is an advanced Stable Diffusion course so prior knowledge of ComfyUI and/or Stable diffusion is essential! In this course, you will learn how to use Stable Diffusion, ComfyUI, and SDXL, three powerful and open-source tools that can generate realistic and artistic images from any text prompt. [5][1][6] In October 2022, Stability AI raised US$101 million in a round led by Lightspeed Venture Partners and Coatue Management. 0, and v2. Multilingual text encoder support. We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. そのころは CPU で動いていて、一枚の画像を作るのに 10 分くらいかかっていたと思う。. Contribute to AlyaBunker/stable-diffusion-webui-directml development by creating an account on GitHub. Stability AI 는 영국인 Jun 11, 2024 · Diffusion models have shown an impressive ability to model complex data distributions, with several key advantages over GANs, such as stable training, better coverage of the training distribution's modes, and the ability to solve inverse problems without extra training. Stable Diffusion is a state-of-the-art text-to-image art generation algorithm that uses a process called "diffusion" to generate images. Stable Diffusion. Fooocus is a free and open-source AI image generator based on Stable Diffusion. Most checkpoints are trained on this resolution. Many even claim that it is a high-tech “generative search engine,” as Mostak likes to call such developments. Sep 8, 2023 · I don't know how but webui seems to make Neural Engine (ANE) running when Inference Images. Released and open sourced in 2022, Stable Diffusion is a deep learning, text-to-image model that can generate detailed images conditioned on text descriptions. 4: converted original; Stable Diffusion v1. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, cultivates autonomous freedom to produce incredible imagery, empowers billions of people to create stunning art within seconds. 275 billion parameters, to run efficiently on its Apple The Stable Diffusion prompts search engine. HyperDiffusion enables diffusion modeling over a implicit, compact, and yet high-fidelity representation of complex signals across 3D shapes and 4D mesh animations within one single unified framework. The main inference pipelines (text2image, image2image, pix2pix, ControlNet) work fine on Mac, and you can do LoRA training, too. Feb 1, 2024 · Stable and accurate reconstruction of species diffusion in Li-ion cell electrodes is a crucial problem, especially in modeling emerging composite electrode materials. Get API Key. love: GAN-based or even diffusion one (called Enhance 9000, and it works excellently with SD images). Stable Diffusion Online is a free Artificial Intelligence image generator that efficiently creates high-quality images from simple text prompts. 3. Our approach is simple, utilizing an autoencoder and a standard latent diffusion model. This guide assumes the reader has a high-level understanding of Stable Diffusion. Edit model card. I haven't looked into this yet but they claim some fairly impressive performance gains, along with dramatic Oct 25, 2023 · Snapdragon AI is highest scoring on MLPerf Mobile Inference v1. Search Stable Diffusion prompts in our 12 million prompt database. Tiling: Make sure Tiling is enabled. This is important to get seamless textures. Sep 19, 2023 · Sep 19, 2023. Jun 19, 2024 · The most advanced diffusion models have recently adopted increasingly deep stacked networks (e. The autoencoder extracts latent representations of a subset of the trained network parameters. We don't need that, we need a very specific and predictable input (deferred rendering channels) to output a specific and predictable outcome. Generate the TensorRT Engines for your desired resolutions. [4] The model has been released by a collaboration of Stability AI, CompVis LMU, and Runway with support from EleutherAI and LAION. Extremely fast and memory efficient (~150MB with Neural Engine) Runs well on all Apple Silicon Macs by fully utilizing Neural Engine. Trusted by 1,000,000+ users worldwide. Dec 2, 2022 · 19,432. The NPU could not break 10 GB/s. AUTOMATIC1111 / stable-diffusion-webui Public. Click again to exit. If you run into issues during installation or runtime, please refer to the FAQ section. 4 and above, runs Stable Diffusion from 1. API Inference. Notifications Fork 20 2. For such a purpose, a much less complex model can be used. This includes tools for converting the models to CoreML (Apple's ML framework) as well as some libraries to use these models. ml-stable-diffusion has just been updated after WWDC with the following: Quantization is supported using --quantize-nbits during conversion. Qualcomm Hexagon, Qualcomm Adreno, Qualcomm Kryo, and Qualcomm AI Engine are products of Qualcomm Technologies, Inc. Still: it's not all roses. pipeline for macOS devices and a minimal Swift test app built on the StableDiffusion Swift package for iOS and iPadOS devices. This is a native app that shows how to integrate Apple's Core ML Stable Diffusion implementation in a native Swift UI application. 2. 0. When Intel’s “Meteor Lake” processors launch, they’ll feature not just CPU cores spread across two on-chip tiles, alongside an on-die GPU portion, but also the company’s first-ever Neural Processing Unit (NPU) devoted to AI workloads. According to Intel, the NPU means generative AI programs such as Stable Diffusion, or Dec 2, 2022 · New optimisations have enabled M2-based Mac devices to generate Stable Diffusion images in under 18 seconds. There’s a lot more to it of course, and Aug 30, 2023 · Stable Diffusion is a modified version of the Latent Diffusion Model(LDM). The model has been released by a collaboration of Stability AI, CompVis LMU, and Runway with support from EleutherAI and LAION. Feb 16, 2023 · Click the Start button and type "miniconda3" into the Start Menu search bar, then click "Open" or hit Enter. stable diffusion prompts:Beautiful women shot in blue movies short hair calm (subway tunnel upper body: 1 2) (realistic. Train. If you haven't already, you should start by reading the Stable Diffusion Tutorial. New benchmarks for iPhone, iPad and Mac. Built-in, the first module in stable diffusion is the encoder module which is used to understand the text, so you parse in the text on one side and the 'encoder module' generates a few tokens for the Compare. We're going to create a folder named "stable-diffusion" using the command line. Apr 22, 2024 · Meteor Lake’s iGPU was able to exceed 19 GB/s when moving data from CPU to GPU memory spaces. Feb 25, 2023 · テキストから画像を生成できるオープンソースのMac用Stable Diffusionクライアント「Diffusers」がGPU/Neural Engine選択に対応し、Apple Silicon Macでは生成速度が最大2倍になっています。詳細は以下から。 Jun 21, 2021 · We present Graph Neural Diffusion (GRAND) that approaches deep learning on graphs as a continuous diffusion process and treats Graph Neural Networks (GNNs) as discretisations of an underlying PDE. The Core ML port is a simplification of the Stable Diffusion implementation from the diffusers library. StableDiffusion, a Swift package that developers can add to their Xcode projects as a dependency to deploy image generation capabilities in their apps. ∙ Paid options include HD mode, Private generation; you can generate up to 40 images per batch. Apple has just released a framework for using Stable Diffusion models on Apple Silicon. Read part 2: Prompt building. The model is conditioned on the (non-pooled) text embeddings of a CLIP ViT-L/14 text encoder. Stable Diffusion images generated with the prompt: "Super cute fluffy cat warrior in armor, photorealistic, 4K, ultra detailed, vray rendering, unreal engine. The authors introduce a progressive training approach to generate high-quality and diverse images using latent diffusion models that gradually refining the images by Graph neural networks (GNNs) work by combining the benefits of multilayer perceptrons with message passing operations that allow information to be shared between nodes in a graph. "Diffusion" works by training an artificial neural network to reverse a process of adding "noise" (random pixels) to an image. English. 5. 4. Apple's Core ML Stable Diffusion implementation to achieve maximum performance and speed on Apple Silicon based Macs while reducing memory requirements. It's a little rough around Stable Diffusion is a deep learning, text-to-image model used to generate detailed images conditioned on text descriptions. 1 SPLIT EINSUM, compute units: CPU and Neural Engine For best performance on M1Pro, M1Max and M1Ultra: model: Stable Diffusion 2. 1 benchmark . Stable Video Diffusion runs up to 40% faster with TensorRT, potentially saving up to minutes per generation. You will have to use a Development Build or build it locally using Xcode! Jan 15, 2024 · 4: The number of input channels that the noise predictor neural network (U-Net) has. Oct 31, 2023 · This Microsoft Olive optimization for AMD GPUs is a great example, as we found that it can give a massive 11. Replace Key in below code, change model_id to "realistic-vision-v51". If you just want an end user app, those already exist, but now it will be easier to make ones that take advantage of Apple's dedicated ML hardware as well as the CPU and GPU. Whether you're looking to visualize . Compute APIs (OpenGL compute, OpenCL, Vulkan compute) will be Mar 19, 2024 · We will introduce what models are, some popular ones, and how to install, use, and merge them. This is part 4 of the beginner’s guide series. Improved attention implementation ( SPLIT_EINSUM_V2) which yields up to 30% improved Neural Engine performance. One thing holding performance back on Apple Silicon is pytorch support (if an op is not implemented, it falls back Oct 21, 2023 · Diffusion Model. Unlike other generative models like Imagen , which directly work in the image space, Latent Diffusion models bring down the diffusion process from the Image Space to a Lower Dimensional Latent Space. Neural Engine is a series of AI accelerators designed for machine learning by Apple. 1 in resolutions up to 960x960 with different samplers and upscalers. This divider is specified in the Stable Diffusion 1. Refresh the page, check Medium ’s site status, or find something interesting to read. Structured Stable Diffusion courses. and/or its subsidiaries. It attempts to combine the best of Stable Diffusion and Midjourney: open source, offline, free, and ease-of-use. We don't need to generate frames entirely from scratch. 1 ORIGINAL, compute units: CPU and GPU. Stable Diffusion is a complex model with multiple blocks. You can also “Enhance” the final result using upscalers available at neural. And in the demo notebook, we introduced not only the famous Text-to-mage pipeline but also included the Image-to-Image Dec 1, 2022 · Today's release of macOS Ventura 13. In this work, we demonstrate that diffusion models can also \\textit{generate high-performing neural network parameters}. To drastically reduce power consumption on laptops you can use the default model (or any SPLIT EINSUM model) and "CPU and Neural Engine" compute units. Jul 8, 2024 · 상세 [편집] Stable Diffusion은 독일 뮌헨 대학교 Machine Vision & Learning Group (CompVis) 연구실의 "잠재 확산 모델을 이용한 고해상도 이미지 합성 연구" [1] 를 기반으로 하여, Stability AI 와 Runway ML 등의 지원을 받아 개발된 딥러닝 인공지능 모델이다. This application can be used for faster iteration, or as sample code for any use Stable Diffusion is a latent diffusion model, a kind of deep generative neural network developed by the CompVis group at LMU Munich. qk zy jw ud nj ns wy pn nz hv