Reply More posts. Is there something I'm missing about how to do what we used to call out painting for SDXL images?. upvotes. The SDXL inpainting model cannot be found in the model download list. 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 will find easy-to-follow tutorials and workflows on this site to teach you everything you need to know about Stable Diffusion. • 4 mo. Stable Diffusion XL (SDXL) Inpainting. GitHub1712. 0 has been out for just a few weeks now, and already we're getting even more SDXL 1. v1. Settings for Stable Diffusion SDXL Automatic1111 Controlnet. It comes with some optimizations that bring the VRAM usage. 0 with ComfyUI. The workflow also has TXT2IMG, IMG2IMG, up to 3x IP Adapter, 2x Revision, predefined (and editable) styles, optional up-scaling, Control Net Canny, Control Net Depth, Lora, selection of recommended SDXL resolutions, adjusting input images to the closest SDXL resolution, etc. With SDXL (and, of course, DreamShaper XL 😉) just released, I think the " swiss knife " type of model is closer then ever. Then you can either mask the face and choose inpaint unmasked, or select only the parts you want changed and inpaint masked. 5 has so much momentum and legacy already. Auto and Sdnext are able to do almost any task with extensions. Read More. The purpose of DreamShaper has always been to make "a better Stable Diffusion", a model capable of doing everything on its own, to weave dreams. Exploring Alternative. 11. • 3 mo. SDXL will require even more RAM to generate larger images. Send to inpainting: Send the selected image to the inpainting tab in the img2img tab. Select "ControlNet is more important". ControlNet SDXL for Automatic1111-WebUI official release: sd-webui-controlnet 1. I have an SDXL inpainting workflow running with LORAs (1024*1024px, 2 LORAs stacked). Step 3: Download the SDXL control models. @bach777 Inpainting in Fooocus relies on special patch model for SDXL (something like LoRA). Use the brush tool in the Controlnet image panel to paint over the part of the image you want to change. 6 final updates to existing models. 5-inpainting model, especially if you use the "latent noise" option for "Masked content". Paper: "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model". Tips. 0 (B1) Status (Updated: Nov 18, 2023): - Training Images: +2620 - Training Steps: +524k - Approximate percentage of completion: ~65%. SDXL LCM with multi-controlnet, lora loading, img2img, inpainting Updated 1 day, 22 hours ago 380 runs fofr / sdxl-multi-controlnet-lora1. Beta Was this translation helpful? Give feedback. SDXL and text. Stable Diffusion XL (SDXL) 1. Useful links. comment sorted by Best Top New Controversial Q&A Add a Comment. That model architecture is big and heavy enough to accomplish that the. 4-Inpainting. Always use the latest version of the workflow json file with the latest version of the. 🧨 DiffusersFrom my basic knowledge, inpainting sketch is basically inpainting but you're guiding the color that will be used in the output. Model Description: This is a model that can be used to generate and modify images based on text prompts. x for ComfyUI ; Table of Content ; Version 4. The "locked" one preserves your model. Just an FYI. 4 and 1. I put the SDXL model, refiner and VAE in its respective folders. x for inpainting. 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. Stable Diffusion XL Inpainting is a state-of-the-art model that represents the pinnacle of image inpainting technology. This repository implements the idea of "caption upsampling" from DALL-E 3 with Zephyr-7B and gathers results with SDXL. 4 for small changes, 0. 1. Just like Automatic1111, you can now do custom inpainting! Draw your own mask anywhere on your image and inpaint anything you want. 9 through Python 3. The Unified Canvas is a tool designed to streamline and simplify the process of composing an image using Stable Diffusion. This is why we also expose a CLI argument namely --pretrained_vae_model_name_or_path that lets you specify the location of a better VAE (such as this one). Fast ~18 steps, 2 seconds images, with Full Workflow Included! No controlnet, No inpainting, No LoRAs, No editing, No eye or face restoring, Not Even Hires Fix! Raw output, pure and simple TXT2IMG. 19k. normal inpainting, but I haven't tested it. Make sure to load the Lora. ControlNet + Inpaintingを実行するためのスクリプトを書きました。. 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 developer posted these notes about the update: A big step-up from V1. SDXL typically produces higher resolution images than Stable Diffusion v1. With this, you can get the faces you've grown to love, while benefiting from the highly detailed SDXL model. 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). Use the paintbrush tool to create a mask over the area you want to regenerate. 5. It adds an extra layer of conditioning to the text prompt, which is the most basic form of using SDXL models. 3-inpainting File Name realisticVisionV20_v13-inpainting. Inpainting Workflow for ComfyUI. 0! When inpainting, you can raise the resolution higher than the original image, and the results are more detailed. Desktop application to mask an image and use SDXL inpainting to paint part of the image using AI. Work on hands and bad anatomy with mask blur 4, inpaint at full resolution, masked content: original, 32 padding, denoise 0. 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. No ControlNet, No ADetailer, No LoRAs, No inpainting, No editing, No face restoring, Not Even Hires Fix!! (and obviously no spaghetti nightmare). A suitable conda environment named hft can be created and activated with: conda env create -f environment. Resources for more information: GitHub. SDXL 1. 3. 5-inpainting model. 0 with both the base and refiner checkpoints. (early and not finished) Here are some more advanced examples: "Hires Fix" aka 2 Pass Txt2Img. Go to checkpoint merger and drop sd1. Free Stable Diffusion inpainting. 5-inpainting into A, whatever base 1. This model is available on Mage. 0 in ComfyUI I've come across three different methods that seem to be commonly used: Base Model with Latent Noise Mask, Base Model using InPaint VAE Encode and using the UNET "diffusion_pytorch" InPaint specific model from Hugging Face. (example of using inpainting in the workflow) (result of the inpainting example) More Example Images. GitHub1712 started this conversation in General. It excels at seamlessly removing unwanted objects or elements from your. 107. Clearly, SDXL 1. OP claims to be using controlnet for XL inpainting which has not been released (beyond a few promising hacks in the last 48 hours). This is the answer, we need to wait for controlnetXL comfyUI nodes, and then a whole new world opens up. The SDXL series extends beyond basic text prompting, offering a range of functionalities such as image-to-image prompting, inpainting, and outpainting. Run time and cost. SDXL 1. Stable Diffusion v1. Raw output, pure and simple TXT2IMG. New to Stable Diffusion? Check out our beginner’s series. Use the paintbrush tool to create a mask on the area you want to regenerate. Developed by a team of visionary AI researchers and engineers, this model. 5 model. co) Nice workflow, thanks! It's hard to find good SDXL inpainting workflows. You blur as a preprocessing instead of downsampling like you do with tile. Navigate to the 'Inpainting' section within the 'Inpaint Anything' tab and click the Get prompt from: txt2img (or img2img) button. Inpaint with Stable Diffusion; More quickly, with Photoshop AI Generative Fills. 1, v1. 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 SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters. 5 billion. original prompt "food product image of a slice of "slice of heaven" cake on a white plate on a fancy table. Searge-SDXL: EVOLVED v4. 5 inpainting models, the results are generally terrible using base SDXL for inpainting. Stable Diffusion XL (SDXL) Inpainting. 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 by using a mask. For example, see over a hundred styles achieved using prompts with the SDXL model. Furthermore, the model provides users with multiple functionalities like inpainting, outpainting, and image-to-image prompting, enhancing the user. 6 billion, compared with 0. 0 base and have lots of fun with it. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. 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 SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters. 5 was just released yesterday. 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. 5. It fully supports the latest Stable Diffusion models, including SDXL 1. Space (main sponsor) and Smugo. Stable Diffusion XL. The only thing missing yet (but this could be engineered using existing nodes I think) is to upscale/adapt the region size to match exactly 1024/1024 or another SDXL learned AR (I think verticals AR are better for inpainting faces) so the model work better than with weird AR then downscale back to the existing region size. py # for. Now let’s choose the “Bezier Curve Selection Tool”: With this, let’s make a selection over the right eye, copy and paste it to a new layer, and. Stability AI a maintenant mis fin à la phase de beta test et annoncé une nouvelle version : SDXL 0. Next, Comfy, and Invoke AI. SDXL Support for Inpainting and Outpainting on the Unified Canvas. 0 and Refiner 1. 2 Inpainting are among the most popular models for inpainting. Added today your IPadapter plus. Table of Content. This model is a specialized variant of the renowned Stable Diffusion series, designed to seamlessly fill in and reconstruct parts of images with astonishing accuracy and detail. SDXL Inpainting. Design. I've been having a blast experimenting with SDXL lately. 4. SDXL-specific LoRAs. Im curious if its possible to do a training on the 1. 0. Make the following changes: In the Stable Diffusion checkpoint dropdown, select the refiner sd_xl_refiner_1. It would be really nice to have a fully working outpainting workflow for SDXL. Reply reply more replies. Stable Diffusion Inpainting, Stable Diffusion XL (SDXL) Inpainting, and Kandinsky 2. Use via API. Words By Abby Morgan. SDXL is the next-generation free Stable Diffusion model with incredible quality. Then ported it into Photoshop for further finishing a slight gradient layer to enhance the warm to cool lighting. r/StableDiffusion. 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. The model is trained for 40k steps at resolution 1024x1024 and 5% dropping of the text-conditioning to improve classifier-free classifier-free guidance sampling. 🎁 Benefits: 🥇 Be among the first to test SDXL-beta with Automatic1111! ⚡ Experience lightning-fast and cost-effective inference! 🆕 Get access to. 5. Unlock the. 1. . 2:1 to each prompt. New Model Use Case: Stable Diffusion can also be used for "normal" inpainting. Check add differences and hit go. Installing ControlNet for Stable Diffusion XL on Windows or Mac. • 2 days ago. Upload the image to the inpainting canvas. 0 的过程，包括下载必要的模型以及如何将它们安装到. make a folder in img2img. Wor. controlnet doesn't work with SDXL yet so not possible. 0 is being introduced alongside Stable Diffusion 2. Once you have anatomy and hands nailed down, move on to cosmetic changes to booba or clothing, then faces. This model runs on Nvidia A40 (Large) GPU hardware. Stability said its latest release can generate “hyper-realistic creations for films, television, music, and. Then push that slider all the way to 1. On the right, the results of inpainting with SDXL 1. (SDXL). With Inpaint area: Only masked enabled, only the masked region is resized, and after. 5 you want into B, and make C Sd1. Img2Img Examples. Does anyone know if there is a planned released?Any other models don't handle inpainting as well as the sd-1. Sped up SDXL generation from 4 mins to 25 seconds!🎨 inpainting: Selectively generate specific portions of an image—best results with inpainting models!. It offers artists all of the available Stable Diffusion generation modes (Text To Image, Image To Image, Inpainting, and Outpainting) as a single unified workflow. SDXL ControlNet/Inpaint Workflow. 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. ComfyUI Master Tutorial - Stable Diffusion XL (SDXL) - Install On PC, Google Colab (Free) & RunPod, SDXL LoRA, SDXL InPainting. windows macos linux delphi ai inpainting. All reactions. Learn how to fix any Stable diffusion generated image through inpain. 0 Depth Vidit, Depth Faid Vidit, Depth, Zeed, Seg, Segmentation, Scribble. 0. Researchers discover that Stable Diffusion v1 uses internal representations of 3D geometry when generating an image. 0. Enter your main image's positive/negative prompt and any styling. 222 added a new inpaint preprocessor: inpaint_only+lama. An inpainting bug i found, idk how many others experience it. In the AI world, we can expect it to be better. I'll need to figure out how to do inpainting and ControlNet stuff but I can see myself switching. Use the brush tool in the Controlnet image panel to paint over the part of the image you want to change. Exciting SDXL 1. Take the. ago • Edited 6 mo. 5-inpainting, and then include that LoRA any time you're doing inpainting to turn whatever model you're using into an inpainting model? (Assuming the model you're using was based on SD1. He published on HF: SD XL 1. 6M runs stable-diffusion-inpainting Fill in masked parts of images with Stable Diffusion Updated 4 months, 2 weeks ago 15. So for example, if I have a 512x768 image, with a full body and smaller / zoomed out face, I inpaint the face, but change the res to 1024x1536, and it gives better detail and definition to the area I am inpainting. The order of LORA and IPadapter seems to be crucial: Workflow: Time KSampler only: 17s IPadapter->KSampler: 20s LORA->KSampler: 21sBest at inpainting! Enhance your eyes with this new Lora for SDXL. x versions have had NSFW cut way down or removed. Let's see what you guys can do with it. generate a bunch of txt2img using base. 5 Version Name V1. New Inpainting Model. It also offers functionalities beyond basic text prompting, such as image-to-image. I am pleased to see the SDXL Beta model has. SD-XL combined with the refiner is very powerful for out-of-the-box inpainting. 5 . This looks sexy, thanks. There's more than one artist of that name. It's a transformative tool for. No ControlNet, No ADetailer, No LoRAs, No inpainting, No editing, No face restoring, Not Even Hires Fix!! (and obviously no spaghetti nightmare). Inpainting denoising strength = 1 with global_inpaint_harmonious. x for ComfyUI. 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. SDXL is a larger and more powerful version of Stable Diffusion v1. Beta Was this translation helpful? Give feedback. For some reason the inpainting black is still there but invisible. 9 is a follow-on from Stable Diffusion XL, released in beta in April. x for ComfyUI . Quality Assurance Guy at Stability. controlnet doesn't work with SDXL yet so not possible. SDXL 09 and Automatic 1111 Inpainting Trial (Workflow Included) I just installed SDXL 0. One trick is to scale the image up 2x and then inpaint on the large image. SDXL’s current out-of-the-box output falls short of a finely-tuned Stable Diffusion model. 5 to inpaint faces onto a superior image from SDXL often results in a mismatch with the base image. 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. Increment ads 1 to the seed each time. We will inpaint both the right arm and the face at the same time. Stable Diffusion XL (SDXL) Inpainting. 0 和 2. 1. [2023/9/05] 🔥🔥🔥 IP-Adapter is supported in WebUI and ComfyUI (or ComfyUI_IPAdapter_plus). The denoise controls the amount of noise added to the image. 5 and 2. Now you slap on a new photo to inpaint. 5 models. x (for example by making diff. TheKnobleSavage • 10 mo. Stable Diffusion XL (SDXL) was proposed in SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis by Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. 0 will be, hopefully it doesnt require a refiner model because dual model workflows are much more inflexible to work with. 6. Both are capable at txt2img, img2img, inpainting, upscaling, and so on. I cranked up the number of steps for faces, no idea if that. Using Controlnet with Inpainting models Question | Help Is it possible to use ControlNet with inpainting models? Whenever I try to use them together, the ControlNet component seems to be ignored. @lllyasviel Problem is that base SDXL model wasn't trained for inpainting / outpainting - it delivers far worse results than dedicated inpainting models we've had for SD 1. 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. Any model is a good inpainting model really, they are all merged with SD 1. I usually keep the img2img setting at 512x512 for speed. The abstract from the paper is: We present SDXL, a latent diffusion model for text-to. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. The inpainting feature makes it simple to reconstruct missing parts of an image too, and the outpainting feature allows users to extend existing images. 5-inpainting and v2. For example, if you provide a depth map, the ControlNet model generates an image that’ll preserve the spatial information from the depth map. To get the best inpainting results you should therefore resize your Bounding Box to the smallest area that contains your mask and. SDXL v0. 0 (B1) Status (Updated: Nov 18, 2023): - Training Images: +2620 - Training Steps: +524k - Approximate percentage of. August 18, 2023. Go to checkpoint merger and drop sd1. The inside of the slice is a tropical paradise". 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. 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. It may help to use the inpainting model, but not. 1: The standard workflows that have been shared for SDXL are not really great when it comes to NSFW Lora's. This model runs on Nvidia A40 (Large) GPU hardware. ControlNet support for Inpainting and Outpainting. Try InvokeAI, it's the easiest installation I've tried, the interface is really nice, and its inpainting and out painting work perfectly. Then push that slider all the way to 1. 400. You inpaint a different area, your generated image is wacky and messed up in the area you previously inpainted. Settings for Stable Diffusion SDXL Automatic1111 Controlnet. No controlnet, No inpainting, No LoRAs, No editing, No eye or face restoring, Not Even Hires Fix! Raw output, pure and simple TXT2IMG. 0) ここで、SDXL ControlNet のチェックポイントを見つけることができます。詳しくは、モデルカードを参照。 このリリースでは、SDXLで学習された複数のControlNetを組み合わせて推論を実行するためのサポートも導入されています。The purpose of DreamShaper has always been to make "a better Stable Diffusion", a model capable of doing everything on its own, to weave dreams. 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. 0. • 13 days ago. Automatic1111 tested and verified to be working amazing with. 0. By default, the **Scale Before Processing** option — which inpaints more coherent details by generating at a larger resolution and then scaling — is only activated when the Bounding Box is relatively small. . 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 SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters Stable Diffusion XL (SDXL) was proposed in SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis by Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. The company says it represents a key step forward in its image generation models. (there are SDXL IP-Adapters, but no face adapter for SDXL yet). 5 is the one. Modify an existing image with a prompt text. Being the control freak that I am, I took the base refiner image into Automatic111 and inpainted the eyes and lips. aZovyaUltrainpainting blows those both out of the water. Stable Diffusion XL (SDXL) 1. Stable Diffusion XL (SDXL), is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. Outpainting with SDXL. 8M runs GitHub Paper License Demo API Examples README Train Versions (39ed52f2) Examples. One trick that was on here a few weeks ago to make an inpainting model from any other model based on SD1. Here’s my results of inpainting my generation using the simple settings above. SD-XL combined with the refiner is very powerful for out-of-the-box inpainting. The inpainting produced random eyes like it always does, but then roop corrected it to match the original facial style. ai & PPA Master Professional PhotographerGreetings! I am the lead QA at Stability. However, SDXL doesn't quite reach the same level of realism. SD 1. a cake with a tropical scene on it on a plate with fruit and flowers on it and. "SD-XL Inpainting 0. Stable Diffusion XL specifically trained on Inpainting by huggingface. 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. 0. Karrass SDE++, denoise 8, 6cfg, 30steps. For negatve prompting on both models, (bad quality, worst quality, blurry, monochrome, malformed) were used. SDXL can also be fine-tuned for concepts and used with controlnets. r/StableDiffusion. . Disclaimer: This post has been copied from lllyasviel's github post. Invoke AI support for Python 3. Stable Diffusion XL (SDXL) Inpainting. Inpainting is limited to what is essentially already there, you can't change the whole setup or pose or stuff like that with Inpainting (well, I guess theoretically you could, but the results would likely be crap). Stable Diffusion XL (SDXL) Inpainting. Run time and cost. This. 0. You can draw a mask or scribble to guide how it should inpaint/outpaint. We bring the image in a latent space (containing less information than the original image) and after the inpainting we decode it back to an actual image but in this process we are losing some information (the encoder is lossy as. For SD1. 6, as it makes inpainted part fit better into the overall image. Updated 4 months, 1 week ago 103. pip install -U transformers pip install -U accelerate. For more details, please also have a look at the 🧨 Diffusers docs. Google Colab updated as well for ComfyUI and SDXL 1. 4. Here is a link for more information. ControlNet is a neural network model designed to control Stable Diffusion models. The RunwayML Inpainting Model v1. 7. @vesper8 Vanilla Fooocus (and Fooocus-MRE versions prior to v2. Stability AI on Huggingface: Here you can find all official SDXL models We might release a beta version of this feature before 3. Model Cache. This model is available on Mage. Stable Diffusion XL (SDXL), is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. 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 SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters. 0, offering significantly improved coherency over Inpainting 1. The settings I used are. Downloads. 0 based on the effect you want)A recent change in ComfyUI conflicted with my implementation of inpainting, this is now fixed and inpainting should work again. I've found that the refiner tends to. Join. It is common to see extra or missing limbs. pytorch image-generation diffusers sdxl Updated Oct 25, 2023; Python. 1. Sep 11, 2023 · 5 comments Return to top. Inpainting SDXL with SD1. SDXL does not (in the beta, at least) do accurate text. 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 had just one. Edit model card. on 1. Alternatively, upgrade your transformers and accelerate package to latest. 5 I added the (masterpiece) and (best quality) modifiers to each prompt, and with SDXL I added the offset lora of . Thats what I do anyway. 20:43 How to use SDXL refiner as the base model. @lllyasviel any ideas on how to translate this inpainting to diffusers library. 5 and SD1. I have a workflow that works. r/StableDiffusion. In researching InPainting using SDXL 1. Adjust the value slightly or change the seed to get a different generation. Searge-SDXL: EVOLVED v4. Get solutions to train on low VRAM GPUs or even CPUs. I have a workflow that works. VRAM settings. 11-Nov. 1. GitHub, Docs. Check add differences and hit go. 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. 0 will be generated at 1024x1024 and cropped to 512x512. 0-base. Of course, you can also use the ControlNet provided by SDXL, such as normal map, openpose, etc. SDXL is a larger and more powerful version of Stable Diffusion v1. Two models are available. It excels at seamlessly removing unwanted objects or elements from your images, allowing you to restore the background effortlessly. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. SDXL can already be used for inpainting, see:. Custom nodes extension for ComfyUI, including a workflow to use SDXL 1.