ago. This repository contains a handful of SDXL workflows I use, make sure to check the usefull links as some of these models, and/or plugins are required to use these in ComfyUI. Stable Diffusion XL Inpainting is a state-of-the-art model that represents the pinnacle of image inpainting technology. ControlNet is a neural network structure to control diffusion models by adding extra conditions. Negative: "cartoon, painting, illustration, (worst quality, low quality, normal quality:2)" Steps: >20 (if image has errors or artefacts use higher Steps) CFG Scale: 5 (higher config scale can lose realism, depends on prompt, sampler and Steps) Sampler: Any Sampler (SDE, DPM-Sampler will result in more realism) Size: 512x768 or 768x512. See examples of raw SDXL model. SDXL 0. Working with property owners and General. In addition to basic text prompting, SDXL 0. Updating ControlNet. 5 and 2. New Inpainting Model. > inpaint cutout area, prompt "miniature tropical paradise". The results were disappointing. 1 official features are really solid (e. 4. Normally, inpainting resizes the image to the target resolution specified in the UI. It's whether or not 1. 0 weights. Then that input image was used in the new Instruct-pix2pix tab ( now available in Auto1111 by adding an extension and model), with the text in each caption entered in the prompt field, using the default settings, except steps was changed. The SDXL series encompasses a wide array of functionalities that go beyond basic text prompting including image-to-image prompting (using one image to obtain variations of it), inpainting (reconstructing missing parts of an image), and outpainting (creating a seamless extension of an existing image). Imaginez pouvoir décrire une scène, un objet ou même une idée abstraite, et voir cette description se transformer en une image claire et détaillée. png ^ --W 512 --H 512 ^ --prompt prompt. This model is available on Mage. Try on DreamStudio Build with Stable Diffusion XL. Stable Diffusion long has problems in generating correct human anatomy. 0-inpainting-0. Stable Diffusion XL (SDXL) Inpainting. 0; You may think you should start with the newer v2 models. With SDXL (and, of course, DreamShaper XL 😉) just released, I think the " swiss knife " type of model is closer then ever. ControlNet + Inpaintingを実行するためのスクリプトを書きました。. 5 with SDXL, you can create conditional steps, and much more. Then you can mess around with the blend nodes and image levels to get the mask and outline you want, then run and enjoy!Yes, you can add the mask yourself, but the inpainting would still be done with the amount of pixels that are currently in the masked area. I find the results interesting for comparison; hopefully others will too. Readme files of the all tutorials are updated for SDXL 1. SDXL is a larger and more powerful version of Stable Diffusion v1. Based on our new SDXL-based V3 model, we have also trained a new inpainting model. 🔮 The initial. 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することができます。Welcome to the 🧨 diffusers organization! diffusers is the go-to library for state-of-the-art pretrained diffusion models for multi-modal generative AI. comment sorted by Best Top New Controversial Q&A Add a Comment. MASSIVE SDXL ARTIST COMPARISON: I tried out 208 different artist names with the same subject prompt for SDXL. Realistic Vision V6. Select "ControlNet is more important". Render. 0. (actually the UNet part in SD network) The "trainable" one learns your condition. The SDXL series also offers various functionalities extending beyond basic text prompting. This is the answer, we need to wait for controlnetXL comfyUI nodes, and then a whole new world opens up. 0 to create AI artwork. Just like its predecessors, SDXL has the ability to generate image variations using image-to-image prompting, inpainting (reimagining of the. Download the Simple SDXL workflow for ComfyUI. Whether it’s blemishes, text, or any unwanted content, SDXL-Inpainting makes the editing process a breeze. 5, and Kandinsky 2. This is a fine-tuned. Use global_inpaint_harmonious when you want to set the inpainting denoising strength high. Generate. It adds an extra layer of conditioning to the text prompt, which is the most basic form of using SDXL models. 5. Run time and cost. 9 offers many features including image-to-image prompting (input an image to get variations), inpainting (reconstruct missing parts in an image), and outpainting (seamlessly extend existing images). diffusers/stable-diffusion-xl-1. TheKnobleSavage • 10 mo. How to Achieve Perfect Results with SDXL Inpainting: Techniques and Strategies A step-by-step guide to maximizing the potential of the SDXL inpaint model for image transformation. OP claims to be using controlnet for XL inpainting which has not been released (beyond a few promising hacks in the last 48 hours). The SD-XL Inpainting 0. To use them, right click on your desired workflow, press "Download Linked File". Reduce development time and get to market faster with RAD Studio, Delphi, or C++Builder. This. It has an almost uncanny ability. No constructure change has been. An infinite zoom art is a visual art technique that creates an illusion of an infinite zoom-in or zoom-out on. 5から対応しており、v1. If this is right, then could you make an "inpainting LoRA" that is the difference between SD1. The model is released as open-source software. Then push that slider all the way to 1. Inpainting. You could add a latent upscale in the middle of the process then a image downscale in. Kandinsky 3. 0 (B1) Status (Updated: Nov 18, 2023): - Training Images: +2620 - Training Steps: +524k - Approximate percentage of completion: ~65%. On the right, the results of inpainting with SDXL 1. A suitable conda environment named hft can be created and activated with: conda env create -f environment. This model is available on Mage. Discord can help give 1:1 troubleshooting (a lot of active contributors) - InvokeAI's WebUI interface is gorgeous and much more responsive than AUTOMATIC1111's. 5 you get quick gens that you then work on with controlnet, inpainting, upscaling, maybe even manual editing in Photoshop and then you get something that follows your prompt. 9 through Python 3. Natural Sin Final and last of epiCRealism. png ^ --hint sketch. 1. py # for canny image conditioned controlnet python test_controlnet_inpaint_sd_xl_canny. It was developed by researchers. This model can follow a two-stage model process (though each model can also be used alone); the base model generates an image, and a refiner model takes that image and further enhances its details and quality. The SDXL series extends beyond basic text prompting, offering a range of functionalities such as image-to-image prompting, inpainting, and outpainting. The Stable Diffusion model can also be applied to inpainting which lets you edit specific parts of an image by providing a mask and a text prompt using Stable Diffusion. Beginner’s Guide to ComfyUI. Say you inpaint an area, generate, download the image. It also offers functionalities beyond basic text prompting, such as image-to-image. SDXL-Inpainting is designed to make image editing smarter and more efficient. 0) using your own dataset with the Segmind training module. Of course, you can also use the ControlNet provided by SDXL, such as normal map, openpose, etc. Then Stable Diffusion will redraw the masked area based on your prompt. SDXL 1. I recommend using the "EulerDiscreteScheduler". 5 pruned. @bach777 Inpainting in Fooocus relies on special patch model for SDXL (something like LoRA). I have a workflow that works. Some of these features will be forthcoming releases from Stability. 2. Custom nodes extension for ComfyUI, including a workflow to use SDXL 1. 🎨 inpainting: Selectively generate specific portions of an image—best results with inpainting models!. Model Cache ; The inpainting model, which is saved in HuggingFace's cache and includes inpaint (case-insensitive) in its repo_id, will also be added to the Inpainting Model ID dropdown list. Nov 16,. Invoke AI support for Python 3. This model can follow a two-stage model process (though each model can also be used alone); the base model generates an image, and a refiner model takes that image and further enhances its details and quality. Raw output, pure and simple TXT2IMG. When inpainting, you can raise the resolution higher than the original image, and the results are more detailed. Settings for Stable Diffusion SDXL Automatic1111 Controlnet. It excels at seamlessly removing unwanted objects or elements from your images, allowing you to restore the background effortlessly. I found some pretty strange render times (total VRAM 10240 MB, total RAM 32677 MB). 5, v2. It is a Latent Diffusion Model that uses two fixed, pretrained text encoders ( OpenCLIP-ViT/G and CLIP-ViT/L ). It is just outpainting an area with a complete different “image” that has nothing to do with the uploaded one. 0 license) Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin. In addition, it has also been used for other purposes, such as inpainting (editing inside a picture) and outpainting (extending a photo outside. What is the SDXL Inpainting Desktop Client and Why Does It Matter? Imagine a desktop application that uses AI to paint parts of an image masked by you. Using the RunwayML inpainting model#. SDXL-specific LoRAs. But neither the base model or the refiner is particularly good at generating images from images that noise has been added to (img2img generation), and the refiner even does a poor job doing an img2img render at 0. SD-XL combined with the refiner is very powerful for out-of-the-box inpainting. DALL·E 3 vs Stable Diffusion XL: A comparison. The predict time for this model varies significantly based on the inputs. 9k. Add a Comment. Karrass SDE++, denoise 8, 6cfg, 30steps. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod, SDXL LoRA, SDXL InPainting. Model type: Diffusion-based text-to-image generative model. Inpainting Workflow for ComfyUI. That is a full model replacement for 1. x for ComfyUI. SDXL 1. I dont think you can 'cross the streams'. I think it's possible to create similar patch model for SD 1. Your image will open in the img2img tab, which you will automatically navigate to. 📷 All of the flexibility of Stable Diffusion: SDXL is primed for complex image design workflows that include generation for text or base image, inpainting (with masks), outpainting, and more. LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions (Apache-2. 0 Jumpstart provides SDXL optimized for speed and quality, making it the best way to get started if your focus is on inferencing. Image Inpainting for SDXL 1. With SD1. I made a textual inversion for the artist Jeff Delgado. I cant' confirm the Pixel Art XL lora works with other ones. SDXL offers a variety of image generation capabilities that are transformative across multiple industries, including graphic design and architecture, with results happening right before our eyes. We follow the original repository and provide basic inference scripts to sample from the models. For SD1. I run on an 8gb card with 16gb of ram and I see 800 seconds PLUS when doing 2k upscales with SDXL, wheras to do the same thing with 1. 1. 0 model files. For the rest of methods (original, latent noise, latent nothing) 0,8 which is the default it's ok. The flexibility of the tool allows. r/StableDiffusion. Use via API. SDXL typically produces. It is a Latent Diffusion Model that uses two fixed, pretrained text encoders ( OpenCLIP-ViT/G and CLIP-ViT/L ). Discover amazing ML apps made by the community. You can add clear, readable words to your images and make great-looking art with just short prompts. Beta Was this translation helpful? Give feedback. IMO we should wait for availability of SDXL model trained for inpainting before pushing features like that. Model Cache. 5. To add to the customizability, it also supports swapping between SDXL models and SD 1. SDXL does not (in the beta, at least) do accurate text. Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: ; the UNet is 3x larger and. 4-Inpainting. 5 model. We have extensive experience with interior and exterior repainting, new construction, commercial office buildings, apartments, condos, and historical restorations. Fine-tune Stable Diffusion models (SSD-1B & SDXL 1. go to img2img, choose batch, dropdown refiner, use the folder in 1 as input and the folder in 2 as output. 1 at main (huggingface. 0) using your own dataset with the Segmind training module. 0-RC , its taking only 7. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. It understands these type of prompts: Picture of 1 eye: [color] eye, close up, perfecteyes Picture of 2 eyes: [color] [optional:color2] eyes, perfecteyes Extra tags: heterchromia (works 30% of time), extreme close up,For Stable Diffusion XL (SDXL) ControlNet models, you can find them on the 🤗 Diffusers Hub organization, or you can browse community-trained ones on the Hub. Make sure the Draw mask option is selected. Space (main sponsor) and Smugo. 7. 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. On the right, the results of inpainting with SDXL 1. Seems like it can do accurate text now. • 2 days ago. In this example this image will be outpainted: Using the v2 inpainting model and the “Pad Image for Outpainting” node (load it in ComfyUI to see the workflow):Also note that the biggest difference between SDXL and SD1. Set "A" to the official inpaint model ( SD-v1. In the top Preview Bridge, right click and mask the area you want to inpaint. This is the area you want Stable Diffusion to regenerate the image. Sped up SDXL generation from 4 mins to 25 seconds!A good place to start if you have no idea how any of this works is the: ComfyUI Basic Tutorial VN: All the art is made with ComfyUI. 0 Features: Shared VAE Load: the. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Img2Img Examples. These include image-to-image prompting (inputting one image to get variations of that image), inpainting (reconstructing missing parts of an image), and outpainting (constructing a seamless extension of an existing image). 5 (on civitai it shows you near the download button). Notes . People are still trying to figure out how to use the v2. 98 billion for the v1. r/StableDiffusion •. Posted by u/Edzomatic - 9 votes and 3 commentsI'll teach you what you need to know about Inpainting in this Stable diffusion tutorial. 关键还免费，SDXL+ComfyUI+Roop AI换脸，【玩转SD】再也不用写提示词了 SDXL最新技术Revision 用图片代替提示词，comfyui最新模型：clip vision在SDXL中完美实现图像blend合并功能，Openpose更新，Controlnet迎来了新的更新，不要再学StableDiffusion. What Auto1111 does with "only masked" inpainting is it inpaints the masked area at the resolution you set (so 1024x1024 for examples) and then it downscales it back to stitch it into the picture. . 🎁 Benefits: 🥇 Be among the first to test SDXL-beta with Automatic1111! ⚡ Experience lightning-fast and cost-effective inference! 🆕 Get access to. r/StableDiffusion. PS内直接跑图，模型可自由控制！. Natural langauge prompts. sdxl sdxl lora sdxl inpainting comfyui #ComfyUI is a node based powerful and modular Stable Diffusion GUI and backend. 5. 222 added a new inpaint preprocessor: inpaint_only+lama . Here's what I've found: When I pair the SDXL base with my LoRA on ComfyUI, things seem to click and work pretty well. The inside of the slice is a tropical paradise". The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. Navigate to the 'Inpainting' section within the 'Inpaint Anything' tab and click the Get prompt from: txt2img (or img2img) button. 0 with its. Built with Delphi using the FireMonkey framework this client works on Windows, macOS, and Linux (and maybe Android+iOS) with. 5 models. [2023/8/29] 🔥 Release the training code. ago • Edited 6 mo. Common repair methods include inpainting and, more recently, the ability to copy a posture from a reference picture using ControlNet’s Open Pose capability. The SDXL Inpainting desktop application is a powerful example of rapid application development for Windows, macOS, and Linux. The difference between SDXL and SDXL-inpainting is that SDXL-inpainting has an additional 5 channel inputs for the latent feature of masked images and the mask. I was excited to learn SD to enhance my workflow. That model architecture is big and heavy enough to accomplish that the. Unfortunately, using version 1. But everyone posting images of SDXL are just posting trash that looks like a bad day on launch day of midjourney v4 back in November. . You will need to change. For example: 896x1152 or 1536x640 are good resolutions. Words By Abby Morgan. For example my base image is 512x512. 0 - Img2Img & Inpainting with SeargeSDXL. Join. If omitted, our API will select the best sampler for the. Tout d'abord, SDXL 1. Basically, Inpaint at full resolution must be activated, and if you want to use the fill method I recommend to work with Inpainting conditioning mask strength at 0,5. Increment ads 1 to the seed each time. 0" , torch_dtype. g. 5 is the one. Edited in AfterEffects. (I have heard different opinions about the VAE not being necessary to be selected manually since it is baked in the model but still to make sure I use manual mode) 3) Then I write a prompt, set resolution of the image output at 1024. Nov 17, 2023 4 min read. • 4 mo. The SDXL Beta model has made great strides in properly recreating stances from photographs and has been used in many fields, including animation and virtual reality. You can then use the "Load Workflow" functionality in InvokeAI to load the workflow and start generating images! If you're interested in finding more workflows,. v1. Send to extras: Send the selected image to the Extras tab. Outpainting is the same thing as inpainting. 5 will be replaced. Specifically, you supply an image, draw a mask to tell which area of the image you would like it to redraw and supply prompt for the redraw. @landmann If you are referring to small changes, than it is most likely due to the encoding/decoding step of the pipeline. Support for SDXL-inpainting models. fp16. However, in order to be able to do this in the future, I have taken on some larger contracts which I am now working through to secure the safety and financial background to fully concentrate on Juggernaut XL. Right now I inpaint without controlnet, I just create the mask, let's say with clipseg, and just send in the mask for inpainting and it works okay (not super reliably, maybe 50% of the time it does something decent). SDXL 1. Stable Diffusion XL. Carmel, IN 46032. at this point, you are pure 3nergy and EVERYTHING is in a constant state of Flux" (SD-CN text2video extension for Automatic 1111) 158. 0 and 2. ControlNet line art lets the inpainting process follows the general outline of the. 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. SDXL doesn't have inpainting or controlnet support yet, so you'll have to wait on that. ago. 0 with both the base and refiner checkpoints. 0. Get solutions to train on low VRAM GPUs or even CPUs. Img2Img. June 25, 2023. My findings on the impact of regularization images & captions in training a subject SDXL Lora with Dreambooth. • 3 mo. 1 was initialized with the stable-diffusion-xl-base-1. Invoke AI support for Python 3. Both are capable at txt2img, img2img, inpainting, upscaling, and so on. Stable Diffusion XL (SDXL) Inpainting. There is a “Pad Image for Outpainting” node to automatically pad the image for outpainting while creating the proper mask. For example, if you provide a depth map, the ControlNet model generates an image that’ll preserve the spatial information from the depth map. . The Stable-Diffusion-Inpainting was initialized with the weights of the Stable-Diffusion-v-1-2. Design. SDXL is a larger and more powerful version of Stable Diffusion v1. Based on our new SDXL-based V3 model, we have also trained a new inpainting model. Projects. After generating an image on the txt2img page, click Send to Inpaint to send the image to the Inpaint tab on the Img2img page. 5. Use the paintbrush tool to create a mask over the area you want to regenerate. Learn how to fix any Stable diffusion generated image through inpain. 1. Otherwise it’s no different than the other inpainting models already available on civitai. Generate an image as you normally with the SDXL v1. 3-inpainting File Name realisticVisionV20_v13-inpainting. See how to leverage inpainting to boost image quality. Quality Assurance Guy at Stability. The "locked" one preserves your model. 5 n using the SdXL refiner when you're done. Second thoughts, heres the workflow. I tried to refine the understanding of the Prompts, Hands and of course the Realism. Below the image, click on " Send to img2img ". 0 license) Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin. (optional) download Fixed SDXL 0. Stable Diffusion XL (SDXL) 1. This has been integrated into Diffusers, read here: Choose base model / dimensions and left side KSample parameters. py # for. SDXL can also be fine-tuned for concepts and used with controlnets. SDXL is a larger and more powerful version of Stable Diffusion v1. Outpainting is the same thing as inpainting. Applying inpainting to SDXL-generated images can be effective in fixing specific facial regions that lack detail or accuracy. ai & PPA Master Professional PhotographerGreetings! I am the lead QA at Stability. This in-depth tutorial will guide you to set up repositories, prepare datasets, optimize training parameters, and leverage techniques like LoRA and inpainting to achieve photorealistic results. SDXL has an inpainting model, but I haven't found a way to merge it with other models yet. Send to inpainting: Send the selected image to the inpainting tab in the img2img tab. The refiner will change the Lora too much. At the very least, SDXL 0. 0. 5 for inpainting details. It applies a latent noise just to the masked area (noise can be anything from 0 to 1. UfoReligion. 78. SD-XL Inpainting works great. 4. At the time of this writing SDXL only has a beta inpainting model but nothing stops us from using SD1. To use ControlNet inpainting: It is best to use the same model that generates the image. 0 est capable de générer des images de haute résolution, allant jusqu'à 1024x1024 pixels, à partir de simples descriptions textuelles. Space (main sponsor) and Smugo. With SDXL (and, of course, DreamShaper XL 😉) just released, I think the " swiss knife " type of model is closer then ever. By using this website, you agree to our use of cookies. Predictions typically complete within 14 seconds. Please support my friend's model, he will be happy about it - "Life Like Diffusion". I cant say how good SDXL 1. Get caught up: Part 1: Stable Diffusion SDXL 1. URPM and clarity have inpainting checkpoints that work well. In this article, we’ll compare the results of SDXL 1. 5 that contains extra channels specifically designed to enhance inpainting and outpainting. finally , AUTOMATIC1111 has fixed high VRAM issue in Pre-release version 1. Stable Diffusion XL. This repository implements the idea of "caption upsampling" from DALL-E 3 with Zephyr-7B and gathers results with SDXL. However, the flaws in the embedding are papered over using the new conditional masking option in automatic1111. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Searge-SDXL: EVOLVED v4. There's more than one artist of that name. 9 and Stable Diffusion 1. You can use it with or without mask in lama cleaner. from diffusers import StableDiffusionControlNetInpaintPipeline controlnet = [ ControlNetModel. 3. 6 billion, compared with 0. Inpaint area: Only masked. 1: The standard workflows that have been shared for SDXL are not really great when it comes to NSFW Lora's. 34:18 How to. SD-XL Inpainting 0. All reactions. 5 I added the (masterpiece) and (best quality) modifiers to each prompt, and with SDXL I added the offset lora of . adjust your settings from there. 5. ControlNet has proven to be a great tool for guiding StableDiffusion models with image-based hints! But what about changing only a part of the image based on that hint?. 200+ OpenSource AI Art Models. Custom nodes extension for ComfyUI, including a workflow to use SDXL 1. Klash_Brandy_Koot • 3 days ago. Stable Diffusion XL Inpainting is a state-of-the-art model that represents the pinnacle of image inpainting technology. Navigate to the 'Inpainting' section within the 'Inpaint Anything' tab and click the Get prompt from: txt2img (or img2img) button. 0. r/StableDiffusion. Stable Diffusion Inpainting, Stable Diffusion XL (SDXL) Inpainting, and Kandinsky 2. 1 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. - The 2. This model can follow a two-stage model process (though each model can also be used alone); the base model generates an image, and a refiner model takes that image and further enhances its details and quality. You can use inpainting to change part of. Using SDXL, developers will be able to create more detailed imagery. r/StableDiffusion. Forgot to mention, you will have to download this inpaint model from huggingface and put it in your comfyUI "Unet" folder that can be found in the models folder. SDXL uses natural language prompts. Stable Inpainting also upgraded to v2. Releasing 8 SDXL Style LoRa's. The "Stable Diffusion XL Inpainting" model is an advanced AI-based system that excels in image inpainting - a technique that fills missing or damaged regions of an image using predictive algorithms. One of my first tips to new SD users would be “download 4x Ultrasharp and put it in the models/ESRGAN folder, then change it to your default upscaler for hiresfix and img2img upscaling”. As usual, copy the picture back to Krita. Btw, I usually use an anime model to do the fixing, because they are trained with clearer outlined images for body parts (typical for manga, anime), and finish the pipeline with a realistic model for refining. SDXL，也称为Stable Diffusion XL，是一种备受期待的开源生成式AI模型，最近由StabilityAI向公众发布。它是 SD 之前版本（如 1. Exciting SDXL 1. GitHub, Docs. 5 my workflow used to be: 1- Img-Img upscale (this corrected a lot of details 2- Inpainting with controlnet (got decent results) 3- Controlnet tile for upscale 4- Upscale the image with upscalers This workflow doesn't work for SDXL, and I'd love to know what workflow. The key driver of the advancement. Automatic1111 will NOT work with SDXL until it's been updated. Automatic1111 tested and verified to be working amazing with. Two models are available. (SDXL). How to make an infinite zoom art with Stable Diffusion. Step 2: Install or update ControlNet. LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions (Apache-2. MultiControlnet with inpainting in diffusers doesn't exist as of now.