Mochi diffusion inpainting. Conversion instructions can be found here.

Apple's Core ML Stable Diffusion implementation to achieve maximum performance and speed on Apple Silicon based Macs while reducing memory requirements. 1 task done. Recently, many research interests have been focused on addressing this problem using fixed diffusion models. Modify an existing image with a prompt text. Now, upload the image into the ‘Inpaint’ canvas. You present the AI with an image, cloak the undesired part with a digital mask, embellish the void with an evocative prompt, and Stable Diffusion redrafts the scene, harmoniously blending in the backdrop. While such approaches have led to significant progress on standard benchmarks Feb 13, 2021 · Current image inpainting techniques are mainly divided into two categories: diffusion-based inpainting techniques and exemplar-based techniques [16, 17]. Background. The only issue I have is that so many - even basic - features are missing from Mochi, such as choosing the Apr 8, 2024 · Stable Diffusion, en particulier, emploie des modèles de diffusion conditionnelle pour offrir une flexibilité et une précision remarquables dans le processus d'inpainting, permettant aux utilisateurs de spécifier en détail les modifications souhaitées au moyen des descriptions textuelles (les prompts). If you work with other data than faces, places or general images, train a model using the guided-diffusion repository. Then, go to img2img of your WebUI and click on ‘Inpaint. Our crowd-sourced lists contains seven apps similar to Easy Diffusion for Mac, Windows, Linux, iPhone and more. It is a good starting point because it is relatively fast and generates good quality images. They guide Stable Diffusion by defining the regions to be filled or preserved. Closed. The goal is to generate new pixels that are consistent with the surrounding area and make the image look as if the missing or Dec 1, 2022 · Abstract. Cattin, Julia Wolleb. Follows the mask-generation strategy presented in LAMA which, in combination with the latent VAE representations of the masked image, are used as an additional conditioning. If you are comfortable with the command line, you can use this option to update ControlNet, which gives you the comfort of mind that the Web-UI is not doing something else. Mar 19, 2024 · The Stable Diffusion model is very flexible. Modify an image to your exact requirements. saiedg opened this issue on Mar 8, 2023 · 1 comment · Fixed by #277. May 16, 2024 · To begin, select a Stable Diffusion checkpoint. Traditional approaches to these problems often relied on complex algorithms and deep learning techniques yet still gave inconsistent outputs. May 10, 2023 · We propose diffusion–shock (DS) inpainting as a hitherto unexplored integrodifferential equation for filling in missing structures in images. However, there is still significant potential for improvement in current text-to-image inpainting models, particularly in better aligning the inpainted area Jun 25, 2024 · For outpainting (creating parts of the image that don’t exist) switch back to sd-v1-5-inpainting. Apr 29, 2024 · Inpainting and outpainting have long been popular and well-studied image processing domains. These approaches typically directly replace the revealed region of the intermediate or final generated images with that of the reference image or its variants A Novel Diffusion-Model-Based Bone Scan Image Inpainting Algorithm Abstract: Inpainting degraded region (e. This paper focuses on the forensics of the diffusion-based image inpainting, and on the necessity of detecting whether the image has been inpainted before the image information is transferred Dec 21, 2023 · Recent progress in text-guided image inpainting, based on the unprecedented success of text-to-image diffusion models, has led to exceptionally realistic and visually plausible results. Advanced inpainting techniques. Inpainting is a process where missing parts of an artwork are filled in to present a complete image. Discover amazing ML apps made by the community Spaces It also provides a face inpainting feature. If you can't find your issue, feel free to create a new issue. a NeRF). Apr 30, 2024 · Semantically Consistent Video Inpainting with Conditional Diffusion Models. Stable Diffusion for Inpainting without prompt conditioning. 2. However, focal brain pathology and imaging acquisition artifacts affecting white matter tracts may Jan 2, 2024 · Mochi Diffusionのインストール Mochi Diffusionを使って説明します。まず、Mochi Diffusionの配布先のリンクから最新版をダウンロードします。ダウンロードされた. It then fills the background with a new one based on the text prompts. Black Area is the selected or "Masked Input". ckpt) and trained for another 200k steps. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. , 2020) is a class of generative models trained with the following image denoising objective: (1) L = E x 0, t, ϵ ‖ ϵ − ϵ θ ( x t, t) ‖ 2 2, where ϵ θ is a noise estimator network trained to predict the noise ϵ ∼ N ( 0, I) mixed with an input Image inpainting (or Image completion) is the process of reconstructing lost or corrupted parts of images. White pixels are inpainted and black pixels are preserved. Stable UnCLIP 2. This MMGInpainting method uses both image and text as guidance for generating content within the target area for inpainting, effectively integrating the semantic information conveyed by the guiding image or text into the content of Feb 18, 2024 · Inpaint Area: This lets you decide whether you want the inpainting to use the entire image as a reference or just the masked area. Use an inpainting model. You should now be on the img2img page and Inpaint tab. Download python file at here, then run: python3 demo. Stable Diffusion is a latent text-to-image diffusion model. g. Jul 7, 2024 · Option 2: Command line. Step 1: Go to DiffusionBee’s download page and download the installer for MacOS – Apple Silicon. In this paper, guided by the connectivity principle of human visual perception, we introduce a nonlinear PDE inpainting model based upon curvature-driven diffusions for nontexture images. Most of existing methods produce plausible reconstructions when the gap lengths are short, but struggle to reconstruct gaps larger than about 100 ms. 7. Now search for ‘Inpaint Anything’, and you can see the extension and an Install button just right of the extension. To check this, go to the extension and click ‘Available’, and then ‘load from’. input image & mask. May 26, 2023 · What Is Inpainting? Inpainting is a technique used in Stable Diffusion image editing to restore and edit missing or damaged portions of pictures. Feb 21, 2024 · Okay, if you have, then follow these simple steps to get started: 1. May 13, 2024 · Fooocus Inpaint. Follows the mask-generation strategy presented in LAMA which, in combination with the latent VAE representations Jul 20, 2023 · This paper proposes a novel diffusion framework, dubbed RefPaint, to ``inpaint more wildly'' by taking such references with large domain gaps. In the experiments, our approach achieves state-of-the-art rendering quality and good generalization to new poses and viewpoints. The diffusion process takes place using a May 24, 2023 · Audio inpainting aims to reconstruct missing segments in corrupted recordings. Dec 1, 2001 · Inpainting is an image interpolation problem, often referring to interpolations over large-scale missing domains. stable-diffusion-inpainting. 0 ComfyUI workflows! Fancy something that in This stable-diffusion-2-inpainting model is resumed from stable-diffusion-2-base (512-base-ema. Jun 12, 2024 · Is Mochi Diffusion a good alternative to Easy Diffusion. py Jul 21, 2017 · Image inpainting, an image processing technique for restoring missing or damaged image regions, can be utilized by forgers for removing objects in digital images. For this tutorial, we recommend choosing an in-painting version. Read part 4: Models. 8. Free Stable Diffusion inpainting. In conclusion, inpainting and outpainting are powerful tools in Stable Diffusion's arsenal. If you're still having issues with shadows, you could take the original image, open it in Photoshop (or equivalent), then take your inpainted image and Jan 20, 2024 · Inpainting in ComfyUI has not been as easy and intuitive as in AUTOMATIC1111. 5, from this location in the Hugging Face Hub. App Files Files Community 42 Refreshing. The default settings are pretty good. Custom models are trained with specific images in order to create a certain style or type of image output. If using a model from Hugging Face, visit the model page and click the 'files and versions' tab. Generate 100 images for free · No credit card required. (reconstruction) We use pixel-level regression loss between the NeRF-rendered and ground-truth pixels Abstract. First, check whether the extension is available or not. To use this model for inpainting, you’ll need to pass a prompt, base and mask image to the pipeline: Mar 1, 2024 · GradPaint method. checkbox. " Selecting the In-Painting Tab. Step 2: Run the segmentation model. Step 2: Double-click to run the downloaded dmg file in Finder. It has 2 main uses: Fixing flawed parts of the image. Finally, a diffusion model is used to digitally repair the mural, and the repair Jun 12, 2024 · AUTOMATIC1111's Stable Diffusion web UI provides a powerful, web interface for Stable Diffusion featuring a one-click installer, advanced inpainting, outpainting and upscaling capabilities, built-in color sketching and much more. This paper explores recent advancements in deep learning and, particularly, diffusion models, for the task of audio Mar 16, 2024 · v4. On first launch, the application downloads a zipped archive with a Core ML version of Runway's Stable Diffusion v1. Inpainting helps restore and enhance existing images, while outpainting lets you push the boundaries of creativity. With the advance of deep learning, this problem has achieved significant progress recently. The inpainted images are used to update the NeRF training dataset following the iterative dataset update protocol. While Mochi refers to Apple official implementation (stuck at t2i/i2i as today), it lacks the new features like inpainting, Textual Inversion, ControlNet, Prompt weighting etc Transfering model into Guernika may work with text2image, not the other way around, Apple/Mochi has to catch up xD Feb 27, 2023 · Alternative, if you are using the downloaded image, go to img2img tab and select the Inpaint sub-tab. We show that the object outline provides a simple, but also reliable and convenient training-free guidance signal for the underlying inpainting model that is Inpainting is a process where missing parts of an artwork are filled in to present a complete image. DS inpainting enjoys the complementary synergy of its building blocks: It 无论是修复 bug，新增代码，还是完善翻译，Mochi Diffusion 欢迎你的贡献。 如果你发现了一个bug，或者有新的建议和想法，请先在这里搜索议题以避免重复。在确认没有重复后，你可以创建一个新议题。 如果你想贡献代码，请创建拉取请求或发起一个新的讨论来 Feb 15, 2022 · 画像から指定した範囲の対象を除去した後、LamaのInpainting（画像修復）技術によって削除した範囲を修復しています。 今回はこのLamaの公式チュートリアルに沿って、テスト画像のInpainting（画像修復）を試していきます。 Inpainting / outpainting #197. Jun 12, 2024 · Inpainting and outpainting are popular image editing techniques. This paper presents a novel approach to inpainting 3D regions of a scene, given masked multi-view images, by distilling a 2D diffusion model into a learned 3D scene representation (e. This process takes a while, as several GB of data have to be downloaded and unarchived. Alicia Durrer, Philippe C. 1-768. As with all projects of this type, it’s expected to improve and evolve over time. 日本中国txt2imgLogin. The task of this challenge is to transform tumor tissue into healthy tissue in brain magnetic resonance (MR) images. I'll opt for "ReV Animated inpainting v1. Extremely fast and memory efficient (~150MB with Neural Engine) Runs well on all Apple Silicon Macs by fully utilizing Neural Engine. It combines two carefully chosen components that have proven their usefulness in different applications: homogeneous diffusion inpainting and coherence-enhancing shock filtering. The OCT image dataset with 83,484 images was used to train the diffusion model. It effectively preserves the detail information of the May 11, 2024 · Combining Inpainting with Outpainting. Try Inpainting now. Reply reply Mar 28, 2024 · To fill this gap, we propose a multi-modality guided (MMG) image inpainting approach based on the diffusion model. Built with an image-conditioned diffusion model, we introduce a ladder-side branch and a masked fusion mechanism to work with the inpainting mask. 7 of 7 Easy Diffusion alternatives. It is typically used to selectively enhance details of an image, and to add or replace objects in the base image. Inpainting. Sampling method=Euler a, steps=80, CFG=7, denoising=0. Step 2: Navigate to ControlNet extension’s folder. Aug 10, 2023 · Stable Diffusion XL (SDXL) 1. First, we review the specific research status of deep learning technology in the field of image inpainting in the past 15 years Explore the latest articles and insights on a wide range of topics from the Zhihu column. It lets you correct the small defects by "painting" over them and regenerating that part. Based on runwayml/stable-diffusion-inpainting, the unet has been replaced with PowerPaint's unet, and the token embedding (P_ctxt, P_shape, P_obj) newly added by PowerPaint has been integrated into the text_encoder. Hi, After some research I found out that using models converted to CoreML and running them in Mochi Diffusion is about 3-10x faster than running normal safetensors models in Auto1111 or Comfy. Inpainting / outpainting. This third-order PDE model improves the The Stable-Diffusion-Inpainting was initialized with the weights of the Stable-Diffusion-v-1-2. Drag and drop your starting image. Regardless of the method you use, now you should have setup the GUI like below. However, recent advancements in the form of Stable diffusion have reshaped these domains. Building on top of that, we propose a novel Temporal MultiDiffusion sampling pipeline with an middle May 15, 2024 · DiffusionBee is one of the easiest ways to run Stable Diffusion on Mac. ’. Drag and drop your image into the tab. Read part 1: Absolute beginner’s guide. First 595k steps regular training, then 440k steps of inpainting training at resolution 512x512 on “laion-aesthetics v2 5+” and 10% dropping of the text-conditioning to improve classifier-free classifier-free guidance sampling . RenderDiffusion can be used to in-fer a 3D scene from an image, for 3D editing using 2D inpainting, and for 3D scene generation. 4. If you don't have the inpainting equivalent, you can make one following the instructions here . Apr 16, 2024 · A black and white image is used as a mask for inpainting over the provided image. like 525. Inpainting has been used to reconstruct deteriorated images, eliminating imperfections like cracks, scratches, disfigured limbs, dust spots, or red-eye effects from AI-generated images. This paper focuses on crack detection and digital inpainting of ancient fresco cultural heritage, and proposes a method to use diffusion model for fresco inpainting. 2. The best Easy Diffusion alternatives are A1111 Stable Diffusion WEB UI, DiffusionBee and ImaginAIry. Pyracanny is similar to the Canny edge preprocessor, CPDS is similar to Mar 16, 2023 · The use of the diffusion model allows us to realistically reconstruct large unseen regions such as the back of a person given the frontal view. . There are two primary types of masks used in this process: Mask and Invert Mask. Feb 27, 2024 · Denoising Diffusion Models for Inpainting of Healthy Brain Tissue. Step 3: Create a mask. Don't create an issue for Mar 8, 2024 · Understanding AI Inpainting Inpainting is an art form of guided creativity. Mochi Diffusion is always looking for contributions, whether it's through bug reports, code, or new translations. Upload the image by dragging and dropping to the image canvas. We employ optical flow for precise one-step latent propagation and introduces a model-agnostic flow-guided Jan 14, 2024 · Inpaint Anything extension. The split-einsum models are the best for Apple Silicon, although it also supports general models for those who want some flexibility in choosing to render with a GPU, CPU, and A diffusion model is used to digitally repair the mural, and the repair performance is optimized by adjusting the parameters to achieve natural repair of mural cracks. It can be used to fill in missing or corrupted parts of an image, such as removing an object from an image, removing image noise, or restoring an old photograph. 11613}, year = {2024}} Stable Diffusion on Mac Silicon using CoreML. In this article, we systematically summarize and analyze the literature on image inpainting based on deep learning. Two technical challenges of injecting structural guiding signals into the generative process as well as translating the inpainted RGB pixels to a wider set of MSI bands are addressed by introducing a novel inpainting framework based on StableDiffusion and ControlNet as well as a novel method for To address these challenges, we introduce Any-Length Video Inpainting with Diffusion Model, dubbed as AVID. Conversion instructions can be found here. Use ControlNet inpainting. #197. Stable Diffusion Inpainting is a latent diffusion model finetuned on 512x512 images on inpainting. 1. Running on A10G. Use the paintbrush tool to create a mask on the face. Denoising diffusion probabilistic models ( Ho et al. Step 1: Open the Terminal App (Mac) or the PowerShell App (Windows). Read part 3: Inpainting. Stable Diffusion Inpainting Online. Its installation process is no different from any other app. Note that RePaint is an inference scheme. The Stable-Diffusion-Inpainting was initialized with the weights of the Stable-Diffusion-v-1-2. Aug 28, 2023 · Inpainting is an essential part of any Stable Diffusion workflow. In general, there are two main categories of image inpainting techniques: exemplar-based Apr 2, 2023 · Mochi Diffusion is a stable diffusion app that runs natively on Mac. Feb 15, 2024 · So, in short, to use Inpaint in Stable diffusion: 1. split_einsum version is compatible with all compute unit options including Neural Engine. Changed minimum step option to 1 ( @amikot) @article {liu2024infusion, title = {InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior}, author = {Liu, Zhiheng and Ouyang, Hao and Wang, Qiuyu and Cheng, Ka Leong and Xiao, Jie and Zhu, Kai and Xue, Nan and Liu, Yu and Shen, Yujun and Cao, Yang}, journal = {arXiv preprint arXiv:2404. The goal of this paper is to comprehensively review the deep learning-based methods for image and video inpainting Our de-noising architecture incorporates a triplane rendering model which enforces a strong inductive bias and produces 3D-consistent generations. The app features: Optimal performance and extremely low memory usage (about 150MB when using the Aug 25, 2023 · In simple terms, inpainting is an image editing process that involves masking a select area and then having Stable Diffusion redraw the area based on user input. Unlike existing texture painting systems, our method allows artists to paint with any complex image texture, and in contrast with traditional texture synthesis, our brush not only generates seamless strokes in real-time, but can inpaint realistic transitions Mar 16, 2023 · We propose diffusion-shock (DS) inpainting as a hitherto unexplored integrodifferential equation for filling in missing structures in images. By default, it’s set to 32 pixels. Step 1: Upload the image. A dmg file should be downloaded. You can do the same using code as well. You should set it to ‘ Whole Picture ’ as the inpaint result matches better with the overall image. Feb 26, 2024 · Specifically, we generate new images using a diffusion-based inpainting model to fill out the masked area with a desired object class by guiding the diffusion through the object outline. We do not train or finetune the diffusion model but condition pre-trained models. This is part 2 of the beginner’s guide series. Read the full paper here. Write the prompt and negative prompt in the corresponding input boxes. Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames. The models in our pipeline are trained using 2D images and videos only. In this project, I focused on providing a good codebase to easily fine-tune or train from scratch the Inpainting architecture for a target dataset. The Intuitive Settings and Workflow of Inpainting. Click the Send to Inpaint icon below the image to send the image to img2img > inpainting. We have shown. 1, Hugging Face) at 768x768 resolution, based on SD2. You have seen how to perform inpainting and outpainting using the WebUI. Our service is free. Degraded regions of OCT images with different parameters are simulated to evaluate the proposed method. Inpainting with a standard Stable Diffusion model Sep 3, 2023 · Mochi Diffusion It does not offer an option to convert models, but there is a catalog powered by the Hugging Face community for those who want to use this implementation. The resources for inpainting workflow are scarce and riddled with errors. MALD-NeRF uses a latent diffusion model to obtain the inpainted training images from the NeRF-rendered images using partial DDIM. It’s best practice to only outpaint in one direction at a time. Generate images locally and completely offline. If you like our work and want to support us, we accept donations (Paypal). In this post, you will see how you can use the diffusers library from Hugging Face to run Stable Diffusion pipeline to perform inpainting and outpainting. At its core, our model is equipped with effective motion modules and adjustable structure guidance, for fixed-length video inpainting. ckpt. Try it online for free to see the power of AI Inpainting. This open-source demo uses the Stable Diffusion machine learning model and Replicate's API to inpaint images right in your browser. By understanding their capabilities and using them strategically, you can unlock a world of Diffusion Bee supports the ability to add and use custom models. Stable diffusion now offers enhanced efficacy in inpainting and Discover how to repair and fill in specific areas of images with Inpaint, removing unwanted objects like watermarks or stains. Feb 1, 2023 · At present, image inpainting based on deep learning becomes a research hotspot in computer vision. Inpaint with Inpaint Anything. - A1111 Stable Diffusion WEB UI is the most popular Windows, Mac & Linux alternative to Mochi Diffusion. Or continue to part 3 below. Only Masked Padding: The padding area of the mask. It comes with Apple's Core ML Stable Diffusion framework built-in and is capable of delivering optimal performance with extremely low memory usage on Macs with Apple chips, while also being compatible with Macs with Intel chips. Therefore, diffusion denoising models are applied in many other tasks such as super resolution and image inpainting . If you find a bug, or would like to suggest a new feature or enhancement, try searching for your problem first as it helps avoid duplicates. Jan 7, 2024 · Image and video inpainting is a classic problem in computer vision and computer graphics, aiming to fill in the plausible and realistic content in the missing areas of images and videos. 0 has been out for just a few weeks now, and already we're getting even more SDXL 1. Apr 6, 2023 · Image inpainting refers to the task of generating a complete, natural image based on a partially revealed reference image. Fooocus Inpainting takes the input image of an object and the mask created in the previous step. if in automatoc1111 try to enable the Apply colo correction checkbox or on inpainting/masked region ensure that’s the 512x512 render region sees suitable context to match on the colors. Since no obviously perceptible artifacts are left after inpainting, it is necessary to develop methods for detecting the presence of inpainting. To use this model for inpainting, you’ll need to pass a prompt, base and mask image to the pipeline: Mar 30, 2023 · Guided diffusion model introduces a classifier to guide the generation process and can produce specific samplers. Mask the area you want to edit and paste your desired words in the prompt section. Step 4: Send mask to inpainting. Let it surprise you with some creative combination of keywords! Check out the Stable Diffusion Course for a step-by-step guided course. The letter investigates the utility of text-to-image inpainting models for satellite image data. Stable Diffusion Inpainting. Unlike 3D generative methods that explicitly condition the diffusion model on camera pose or multi-view information, our diffusion model is Nov 28, 2023 · Luckily, you can use inpainting to fix it. It uses CLIP to obtain embeddings of the given prompt. 3. While FaceSwapLab is still under development, it has reached a good level of stability. This model was converted to Core ML for use on Apple Silicon devices. You can try Fill or Original for this, but usually Original works best. The authors trained models for a variety of tasks, including Inpainting. By the end of this guide, you'll be able to go from this to this: We present a technique that leverages 2D generative diffusion models (DMs) for interactive texture painting on the surface of 3D meshes. This stable-diffusion-2-inpainting model is resumed from stable-diffusion-2-base ( 512-base-ema. It effectively preserves the detail information of the frescoes and reduces the damage to the original frescoes in the inpainting process. Learn how RePaint, a novel inpainting method based on denoising diffusion, achieves superior results on various mask distributions. First, either generate an image or collect an image for inpainting. New stable diffusion finetune ( Stable unCLIP 2. This makes it a reliable tool for those who are interested in face-swapping within the Stable Diffusion environment. Mask: This is used to specify the areas in an Dec 26, 2023 · A novel diffusion-model-based OCT image inpainting method for wide saturation artifacts is proposed in this paper. dmgファイルを開いて、Mochi Diffusionをアプリケーションフォルダにドラッグ&ドロップすればインストール Stable Diffusion Inpainting is an advanced and effective image processing technique that can help restore or repair missing or damaged parts of an image, resulting in a seamless and natural-looking final product. Model Description: This is a model Aug 16, 2023 · Stable Diffusion retrieves the latents of the given image from a variational autoencoder (VAE). Use Stable Diffusion inpainting to render something entirely new in any part of an existing image. The model improves GAN in terms of both evaluation metrics and visual effects. original version is only compatible with CPU & GPU option. Added option to send notifications when images are ready ( @mangoes-dev) Added ability to change slider control values by keyboard input ( @gdbing) Changed Quick Look shortcut to spacebar (like Finder) Changed scheduler timestep to Karras for SDXL models. The analysis of diffusion weighted brain magnetic resonance images, including the estimation of fibre orientation distribution (FOD), tractography, and connectomics, is a powerful tool for neuroscience research and clinical applications. This paper is a contribution to the "BraTS 2023 Local Synthesis of Healthy Brain Tissue via Inpainting Challenge". Fooocus has control methods like Pyracanny, CPDS, and Image Prompt to guide inpainting. Navigate to the "Image to Image" tab and select the "In-Painting" tab. Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra capability of inpainting the pictures by using a mask. It has various applications in fields such as film restoration, photography, medical imaging, and digital art. Apr 11, 2023 · Stable Diffusion web UIのInpainting機能について Inpaintingとは？ Inpainting（web UI内だと「inpaint」という表記になっています）は 画像の一部のみを修正するときに便利な機能 です。自分で塗りつぶした部分だけに呪文を適用できるので、希望する部分だけを簡単に変更 Stable Diffusion Inpainting. The best place to find custom models for DiffusionBee is Hugging Face. This post hopes to bridge the gap by providing the following bare-bone inpainting examples with detailed instructions in ComfyUI. Provide the model to an app such as Mochi Diffusion Github - Discord to generate images. Nov 26, 2023 · This paper introduces the Flow-Guided Diffusion model for Video Inpainting (FGDVI), a novel approach that significantly enhances temporal consistency and inpainting quality via reusing an off-the-shelf image generation diffusion model. Make sure your inpainting model is the inpainting version of whichever model you used originally. , due to patient wearing jewelry) in bone scan images is effective for improve image quality, robustness of machine analysis, and accuracy of disease diagnosis. This model card focuses on the model associated with the Stable Diffusion v2, available here. ug lc xu kz zp ft cg oz zr gh