Video Summary: In this video, we'll dive into the world of automatic1111 and the official SDXL support. Contraindicated. 7. Results on par with midjourney so far. set COMMANDLINE_ARGS= --xformers --no-half-vae --precision full --no-half --always-batch-cond-uncond --medvram call webui. Zlippo • 11 days ago. 1 Picture in about 1 Minute. For 1 512*512 it takes me 1. Please use the dev branch if you would like to use it today. 9 / 1. 5 models in the same A1111 instance wasn't practical, I ran one with --medvram just for SDXL and one without for SD1. For a few days life was good in my AI art world. The post just asked for the speed difference between having it on vs off. However upon looking through my ComfyUI directory's I can't seem to find any webui-user. python launch. py bdist_wheel. #stablediffusion #A1111 #AI #Lora #koyass #sd #sdxl #refiner #art #lowvram #lora This video introduces how A1111 can be updated to use SDXL 1. The suggested --medvram I removed it when i upgraded from RTX2060-6GB to RTX4080-12GB (both Laptop/Mobile). Extra optimizers. 400 is developed for webui beyond 1. I'm sharing a few I made along the way together with. @weajus reported that --medvram-sdxl resolves the issue, however this is not due to the usage of the parameter, but due to the optimized way A1111 now manages system RAM, therefore not running into the issue 2) any longer. 47 it/s So a RTX 4060Ti 16GB can do up to ~12 it/s with the right parameters!! Thanks for the update! That probably makes it the best GPU price / VRAM memory ratio on the market for the rest of the year. If your GPU card has less than 8 GB VRAM, use this instead. . 32 GB RAM. g. tiffFor me I have an 8 gig vram, trying sdxl in auto1111 just tells me insufficient memory if it even loads the model and when running with --medvram image generation takes a whole lot of time, comfi ui is just better in that case for me, lower loading times, lower generation time, and get this sdxl just works and doesn't tell me my vram is shit. Default is venv. 1, or Windows 8 ;. py is a script for SDXL fine-tuning. However, for the good news - I was able to massively reduce this >12GB memory usage without resorting to --medvram with the following steps: Initial environment baseline. Important lines for your issue. Honestly the 4070 ti is an incredibly great value card, I don't understand the initial hate it got. Video Summary: In this video, we'll dive into the world of automatic1111 and the official SDXL support. not so much under Linux though. 4 seconds with SD 1. 8: from 640x640 to 1280x1280 Without medvram it can only handle 640x640, which is half. A Tensor with all NaNs was produced in the vae. SDXL will require even more RAM to generate larger images. Introducing our latest YouTube video, where we unveil the official SDXL support for Automatic1111. Hello, I tried various LoRAs trained on SDXL 1. Autoinstaller. 5 there is a lora for everything if prompts dont do it fast. 74 EMU - Kolkata Trains. 1 / 2. 저와 함께 자세히 살펴보시죠. 6. tiff in img2img batch (#12120, #12514, #12515) postprocessing/extras: RAM savings6f0abbb. The sd-webui-controlnet 1. I would think 3080 10gig would be significantly faster, even with --medvram. api Has caused the model. Hit ENTER and you should see it quickly update your files. com) and it works fine with 1. I find the results interesting for comparison; hopefully others will too. Name it the same name as your sdxl model, adding . change default behavior for batching cond/uncond -- now it's on by default, and is disabled by an UI setting (Optimizatios -> Batch cond/uncond) - if you are on lowvram/medvram and are getting OOM exceptions, you will need to enable it ; show current position in queue and make it so that requests are processed in the order of arrival finally , AUTOMATIC1111 has fixed high VRAM issue in Pre-release version 1. vae. ago. 0 will be, hopefully it doesnt require a refiner model because dual model workflows are much more inflexible to work with. . The t-shirt and face were created separately with the method and recombined. 0 Everything works perfectly with all other models (1. py", line 422, in run_predict output = await app. bat file (in stable-defusion-webui-master folder). (2). Webui will inevitably support it very soon. 少しでも動作を. With. I have tried rolling back the video card drivers to multiple different versions. MAOIs slows amphetamine. The generation time increases by about a factor of 10. The documentation in this section will be moved to a separate document later. Now that you mention it i didn't have medvram when i first tried the RC branch. Normally the SDXL models work fine using medvram option, taking around 2 it/s, but when i use Tensor RT profile for SDXL, it seems like the medvram option is not being used anymore as the iterations start taking several minutes as if the medvram. I have same GPU and trying picture size beyond 512x512 it gives me Runtime error, "There is not enough GPU video memory". tiff ( #12120、#12514、#12515 )--medvram VRAMの削減効果がある。後述するTiled vaeのほうがメモリ不足を解消する効果が高いため、使う必要はないだろう。生成を10%ほど遅くすると言われているが、今回の検証結果では生成速度への影響が見られなかった。 生成を高速化する設定You can remove the Medvram commandline if this is the case. which is exactly what we're doing, and why we haven't released our ControlNetXL checkpoints. 4GB の VRAM があり、512x512 の画像を作成したいが、-medvram ではメモリ不足のエラーが発生する場合、代わりに --medvram --opt-split-attention. 9vae. I think the key here is that it'll work with a 4GB card, but you need the system RAM to get you across the finish line. Thats why i love it. Note that the Dev branch is not intended for production work and may break other things that you are currently using. If you followed the instructions and now have a standard installation, open a command prompt and go to the root directory of AUTOMATIC1111 (where weui. -. tif, . It functions well enough in comfyui but I can't make anything but garbage with it in automatic. 0. You should definitely try Draw Things if you are on Mac. 5: 7. medvram-sdxl and xformers didn't help me. json. Stable Diffusionを簡単に使えるツールというと既に「 Stable Diffusion web UI 」などがあるのですが、比較的最近登場した「 ComfyUI 」というツールが ノードベースになっており、処理内容を視覚化できて便利 だという話を聞いたので早速試してみました。. No, it's working for me, but I have a 4090 and had to set medvram to get any of the upscalers to work, cannot upscale anything beyond 1. It initially couldn't load the weight but then I realized my Stable Diffusion wasn't updated to v1. sh (Linux): set VENV_DIR allows you to chooser the directory for the virtual environment. bat as . 0. Or Hires. But yes, this new update looks promising. 60 から Refiner の扱いが変更になりました。. Native SDXL support coming in a future release. using --lowvram sdxl can run with only 4GB VRAM, anyone? Slow progress but still acceptable, estimated 80 secs to completed. I downloaded the latest Automatic1111 update from this morning hoping that would resolve my issue, but no luck. Generation quality might be affected. 1. 動作が速い. It can produce outputs very similar to the source content (Arcane) when you prompt Arcane Style, but flawlessly outputs normal images when you leave off that prompt text, no model burning at all. Two of these optimizations are the “–medvram” and “–lowvram” commands. 命令行参数 / 性能类. modifier (I have 8 GB of VRAM). 👎 2 Daxiongmao87 and Nekos4Lyfe reacted with thumbs down emojiImage by Jim Clyde Monge. I have a weird config where I have both Vladmandic and A1111 installed and use the A1111 folder for everything, creating symbolic links for. Ok, it seems like it's the webui itself crashing my computer. Special value - runs the script without creating virtual environment. India Rail Info is a Busy Junction for. bat file would help speed it up a bit. No, with 6GB you are at the limit, one batch too large or a resolution too high and you get an OOM, so --medvram and --xformers are almost mandatory things. Next with SDXL Model/ WindowsIf still not fixed, use command line arguments --precision full --no-half at a significant increase in VRAM usage, which may require --medvram. 6. Refiner same folder as Base model, although with refiner i can't go higher then 1024x1024 in img2img. I could switch to a different SDXL checkpoint (Dynavision XL) and generate a bunch of images. tif, . Pleas copy-and-paste that line from your window. They have a built-in trained vae by madebyollin which fixes NaN infinity calculations running in fp16. bat. If I do a batch of 4, it's between 6 or 7 minutes. --medvram: None: False: Enable Stable Diffusion model optimizations for sacrificing a some performance for low VRAM usage. Specs: RTX 3060 12GB VRAM With controlNet, VRAM usage and generation time for SDXL will likely increase as well and depending on system specs, it might be better for some. 手順3：ComfyUIのワークフロー. @SansQuartier temporary solution is remove --medvram (you can also remove --no-half-vae, it's not needed anymore). @weajus reported that --medvram-sdxl resolves the issue, however this is not due to the usage of the parameter, but due to the optimized way A1111 now manages system RAM, therefore not running into the issue 2) any longer. 0 A1111 vs ComfyUI 6gb vram, thoughts. If you have 4 GB VRAM and want to make images larger than 512x512 with --medvram, use --lowvram --opt-split-attention. NOT OK > "C:My thingssome codestable-diff. The t2i ones run fine, though. 1 until you like it. 0 on automatic1111, but about 80% of the time I do, I get this error: RuntimeError: The size of tensor a (1024) must match the size of tensor b (2048) at non-singleton dimension 1. Prompt wording is also better, natural language works somewhat, but for 1. 以下の記事で Refiner の使い方をご紹介しています。. ComfyUIでSDXLを動かすメリット. add --medvram-sdxl flag that only enables --medvram for SDXL models; prompt editing timeline has separate range for first pass and hires-fix pass (seed breaking change) Minor: img2img batch: RAM savings, VRAM savings, . 7gb of vram and generates an image in 16 seconds for sde karras 30 steps. Stable Diffusion is a text-to-image AI model developed by the startup Stability AI. The disadvantage is that slows down generation of a single image SDXL 1024x1024 by a few seconds for my 3060 GPU. If you have more VRAM and want to make larger images than you can usually make (e. that FHD target resolution is achievable on SD 1. Currently, only running with the --opt-sdp-attention switch. py file that removes the need of adding "--precision full --no-half" for NVIDIA GTX 16xx cards. I just loaded the models into the folders alongside everything. 0, it crashes the whole A1111 interface when the model is loading. 74 Local/EMU Trains. bat file. environ. Use SDXL to generate. Use --disable-nan-check commandline argument to disable this check. I just loaded the models into the folders alongside everything. 로그인 없이 무료로 사용 가능한. bat file specifically for SDXL, adding the above mentioned flag, so i don't have to modify it every time i need to use 1. PVZ82 opened this issue Jul 31, 2023 · 2 comments Open. Horrible performance. try --medvram or --lowvram Reply More posts you may like. Don't turn on full precision or medvram if you want max speed. Yes, less than a GB of VRAM usage. just installed and Ran ComfyUI with the following Commands: --directml --normalvram --fp16-vae --preview-method auto. Comfy UI offers a promising solution to the challenge of running SDXL on 6GB VRAM systems. Daedalus_7 created a really good guide regarding the best. Details. fix) is about 14% slower than 1. I have also created SDXL Profiles on a dev environment . 048. Another thing you can try is the "Tiled VAE" portion of this extension, as far as I can tell it sort of chops things up like the commandline arguments do, but without murdering your speed like --medvram does. Disabling live picture previews lowers ram use, and speeds up performance, particularly with --medvram --opt-sub-quad-attention --opt-split-attention also both increase performance and lower vram use with either no, or. 合わせ. 0 base and refiner and two others to upscale to 2048px. 0 Version in Automatic1111 installiert und nutzen könnt. version: v1. finally , AUTOMATIC1111 has fixed high VRAM issue in Pre-release version 1. tif, . not sure why invokeAI is ignored but it installed and ran flawlessly for me on this Mac, as a longtime automatic1111 user on windows. 0 base, vae, and refiner models. They used to be on par, but I'm using ComfyUI because now it's 3-5x faster for large SDXL images, and it uses about half the VRAM on average. MASSIVE SDXL ARTIST COMPARISON: I tried out 208 different artist names with the same subject prompt for SDXL. Downloaded SDXL 1. (Also why should i delete my yaml files ?)Unfortunately yes. 9 / 3. Web. bat file, 8GB is sadly a low end card when it comes to SDXL. the problem is when tried to do "hires fix" (not just upscale, but sampling it again, denoising and stuff, using K-Sampler) of that to higher resolution like FHD. 6. Decreases performance. As long as you aren't running SDXL in auto1111 (which is the worst way possible to run it), 8GB is more than enough to run SDXL with a few LoRA's. bat file specifically for SDXL, adding the above mentioned flag, so i don't have to modify it every time i need to use 1. Both models are working very slowly, but I prefer working with ComfyUI because it is less complicated. You definitely need to add at least --medvram to commandline args, perhaps even --lowvram if the problem persists. I tried comfyUI and it takes about 30s to generate 768*1048 images (i have a RTX2060, 6GB vram). 1, including next-level photorealism, enhanced image composition and face generation. Generated 1024x1024, Euler A, 20 steps. 7gb of vram is gone, leaving me with 1. In my v1. 0. Launching Web UI with arguments: --port 7862 --medvram --xformers --no-half --no-half-vae ControlNet v1. This is the same problem. --bucket_reso_steps can be set to 32 instead of the default value 64. add --medvram-sdxl flag that only enables --medvram for SDXL models prompt editing timeline has separate range for first pass and hires-fix pass (seed breaking change) ( #12457 ) OnlyOneKenobiI tried some of the arguments from Automatic1111 optimization guide but i noticed that using arguments like --precision full --no-half or --precision full --no-half --medvram actually makes the speed much slower. 1 and 0. webui. I can tell you that ComfyUI renders 1024x1024 in SDXL at faster speeds than A1111 does with hiresfix 2x (for SD 1. 5Gb free when using SDXL based model). I can generate 1024x1024 in A1111 in under 15 seconds, and using ComfyUI it takes less than 10 seconds. I learned that most of the things I needed I already had since I hade automatic1111, and it worked fine. 9 はライセンスにより商用利用とかが禁止されています. Open 1 task done. Don't need to turn on the switch. 5 takes 10x longer. Strange i can Render full HD with sdxl with the medvram Option on my 8gb 2060 super. Who Says You Can't Run SDXL 1. Huge tip right here. ago. Note that the Dev branch is not intended for production work and may break other things that you are currently using. You're right it's --medvram that causes the issue. 5GB vram and swapping refiner too , use --medvram-sdxl flag when starting r/StableDiffusion • AI Burger commercial - source @MatanCohenGrumi twitter - much better than previous monstrositiesHowever, for the good news - I was able to massively reduce this >12GB memory usage without resorting to --medvram with the following steps: Initial environment baseline. Disabling live picture previews lowers ram use, and speeds up performance, particularly with --medvram --opt-sub-quad-attention --opt-split-attention also both increase performance and lower vram use with either no, or slight performance loss AFAIK. sd_xl_base_1. r/StableDiffusion. 9, causing generator stops for minutes aleady add this line to the . 1. I've also got 12GB and with the introduction of SDXL, I've gone back and forth on that. This will pull all the latest changes and update your local installation. webui-user. 3. 0. 10 in series: ≈ 7 seconds. Once they're installed, restart ComfyUI to enable high-quality previews. Mine will be called gollum. 2. 4: 7. A little slower and kinda like Blender with the UI. Add Review. You may edit your "webui-user. tiff in img2img batch (#12120, #12514, #12515) postprocessing/extras: RAM savingsMedvram has almost certainly nothing to do with it. S tability AI recently released its first official version of Stable Diffusion XL (SDXL) v1. These allow me to actually use 4x-UltraSharp to do 4x upscaling with Highres. 400 is developed for webui beyond 1. this is the tutorial you need : How To Do Stable Diffusion Textual. 5 and 2. 5), switching to 0 fixed that and dropped ram consumption from 30gb to 2. That is irrelevant. With A1111 I used to be able to work with ONE SDXL model, as long as I kept the refiner in cache (after a while it would crash anyway). I have the same GPU, 32gb ram and i9-9900k, but it takes about 2 minutes per image on SDXL with A1111. 9 model for Automatic1111 WebUI My card Geforce GTX 1070 8gb I use A1111. --force-enable-xformers：强制启动xformers，无论是否可以运行都不报错. add --medvram-sdxl flag that only enables --medvram for SDXL models; prompt editing timeline has separate range for first pass and hires-fix pass (seed breaking change) Minor: img2img batch: RAM savings, VRAM savings, . bat" asなお、SDXL使用時のみVRAM消費量を抑えられる「--medvram-sdxl」というコマンドライン引数も追加されています。 通常時はmedvram使用せず、SDXL使用時のみVRAM消費量を抑えたい方は設定してみてください。 AUTOMATIC1111 ver1. . (--opt-sdp-no-mem-attention --api --skip-install --no-half --medvram --disable-nan-check)RTX 4070 - have tried every variation of MEDVRAM , XFORMERS on and off and no change. Too hard for most of the community to run efficiently. And I'm running the dev branch with the latest updates. Also 1024x1024 at Batch Size 1 will use 6. Next is better in some ways -- most command lines options were moved into settings to find them more easily. 0 Version in Automatic1111 installiert und nutzen könnt. Mixed precision allows the use of tensor cores which massively speed things up, medvram literally slows things down in order to use less vram. Then things updated. Well dang I guess. 4. 1. 在 WebUI 安裝同時，我們可以先下載 SDXL 的相關文件，因為文件有點大，所以可以跟前步驟同時跑。 Base模型 A user on r/StableDiffusion asks for some advice on using --precision full --no-half --medvram arguments for stable diffusion image processing. It'll process a primary subject and leave the background a little fuzzy, and it just looks like a narrow depth of field. 3. 5 models in the same A1111 instance wasn't practical, I ran one with --medvram just for SDXL and one without for SD1. And all accesses are through API. photo of a male warrior, modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, medieval armor, professional majestic oil painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, trending on CGSociety, Intricate, High. works with dev branch of A1111, see #97 (comment), #18 (comment) and as of commit 37c15c1 in the README of this project. I shouldn't be getting this message from the 1st place. (20 steps sd xl base) PS sd 1. 3 / 6. Python doesn’t work correctly. You may experience it as “faster” because the alternative may be out of memory errors or running out of vram/switching to CPU (extremely slow) but it works by slowing things down so lower memory systems can still process without resorting to CPU. It's a much bigger model. Open in notepad and do a Ctrl-F for "commandline_args". 5 min. 2 / 4. Because SDXL has two text encoders, the result of the training will be unexpected. set COMMANDLINE_ARGS=--opt-split-attention --medvram --disable-nan-check --autolaunch My graphics card is 6800xt, I started with the above parameters, generated 768x512 img, Euler a, 1. It seems like the actual working of the UI part then runs on CPU only. 2 seems to work well. With 3060 12gb overclocked to the max takes 20 minutes to render 1920 x 1080 image. Even with --medvram, I sometimes overrun the VRAM on 512x512 images. I'm using a 2070 Super with 8gb VRAM. bat) Reply reply jonathandavisisfat • Sorry for my late response but I actually figured it out right before you. sd_xl_refiner_1. bat. To save even more VRAM set the flag --medvram or even --lowvram (this slows everything but alows you to render larger images). 0 base without refiner at 1152x768, 20 steps, DPM++2M Karras (This is almost as fast as the 1. 5. All. Medvram sacrifice a little speed for more efficient use of VRAM. Update your source to the last version with 'git pull' from the project folder. ipinz commented on Aug 24. 3gb to work with and OOM comes swiftly after. You can check Windows Taskmanager to see how much VRAM is actually being used while running SD. I applied these changes ,but it is still the same problem. This is the proper command line argument to use xformers:--force-enable-xformers. Question about ComfyUI since it's the first time i've used it, i've preloaded a worflow from SDXL 0. Intel Core i5-9400 CPU. I'm on Ubuntu and not Windows. But these arguments did not work for me, --xformers gave me a minor bump in performance (8s/it. -opt-sdp-no-mem-attention --upcast-sampling --no-hashing --always-batch-cond-uncond --medvram. I'm on an 8GB RTX 2070 Super card. 최근 스테이블 디퓨전이. 5, but it struggles when using SDXL. tiff in img2img batch (#12120, #12514, #12515) postprocessing/extras: RAM savingswithout --medvram (but with xformers) my system was using ~10GB VRAM using SDXL. r/StableDiffusion. 과연 얼마나 새로워졌을지. 5 because I don't need it so using both SDXL and SD1. Happy generating everybody!At the line where set " COMMANDLINE_ARGS =" , add in these parameters " --xformers" and " --medvram" and " --opt-split-attention" to reduce further the VRAM needed BUT it will added the processing time. 19--precision {full,autocast} 在这个精度下评估: evaluate at this precision: 20--shareTry setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. 24GB VRAM. 10. This exciting development paves the way for seamless stable diffusion and Lora training in the world of AI art. You must be using cpu mode, on my rtx 3090, SDXL custom models take just over 8. I found on the old version some times a full system reboot helped stabilize the generation. On a 3070TI with 8GB. AutoV2. 5GB vram and swapping refiner too , use --medvram-sdxl flag when starting r/StableDiffusion • Year ahead - Requests for Stability AI from community?Commands Optimizations. 0-RC , its taking only 7. 5. Happy generating everybody! (i) Generate the image more than 512*512px size (See this link > AI Art Generation Handbook/Differing Resolution for SDXL) . tiff in img2img batch (#12120, #12514, #12515) postprocessing/extras: RAM savingsThis is assuming A1111 and not using --lowvram or --medvram . refinerモデルを正式にサポートしている. Use --disable-nan-check commandline argument to. SDXL Support for Inpainting and Outpainting on the Unified Canvas. Afroman4peace. 5GB vram and swapping refiner too , use --medvram-sdxl flag when starting r/StableDiffusion • SDXL 1. I haven't been training much for the last few months but used to train a lot, and I don't think --lowvram or --medvram can help with training. 5 secsIt also has a memory leak, but with --medvram I can go on and on. 부루퉁입니다. (For SDXL models) Descriptions; Affected Web-UI / System: SD. using medvram preset result in decent memory savings without huge performance hit: Doggetx: 0. tiff in img2img batch (#12120, #12514, #12515) postprocessing/extras: RAM savings6f0abbb. 0の変更点は？ I think SDXL will be the same if it works. Fast Decoder Enabled: Fast Decoder Disabled: I've been having a headache with this problem for several days. I have always wanted to try SDXL, so when it was released I loaded it up and surprise, 4-6 mins each image at about 11s/it. half()), the resulting latents can't be decoded into RGB using the bundled VAE anymore without producing the all-black NaN tensors?For 20 steps, 1024 x 1024,Automatic1111, SDXL using controlnet depth map, it takes around 45 secs to generate a pic with my 3060 12G VRAM, intel 12 core, 32G Ram ,Ubuntu 22. 6) with rx 6950 xt , with automatic1111/directml fork from lshqqytiger getting nice result without using any launch commands , only thing i changed is chosing the doggettx from optimization section . medvram and lowvram Have caused issues when compiling the engine and running it. yamfun. (R5 5600, DDR4 32GBx2, 3060Ti 8GB GDDR6) settings: 1024x1024, DPM++ 2M Karras, 20 steps, Batch size 1 commandline args:--medvram --opt-channelslast --upcast-sampling --no-half-vae --opt-sdp-attention If your GPU card has 8 GB to 16 GB VRAM, use the command line flag --medvram-sdxl. I have a 6750XT and get about 2. With a 3090 or 4090 you're fine but that's also where you'd add --medvram if you had a midrange card or --lowvram if you wanted/needed. . A Tensor with all NaNs was produced in the vae. Announcement in. 0. Zlippo • 11 days ago. process_api( File "E:stable-diffusion-webuivenvlibsite. By the way, it occasionally used all 32G of RAM with several gigs of swap. I am using AUT01111 with an Nvidia 3080 10gb card, but image generations are like 1hr+ with 1024x1024 image generations. Sped up SDXL generation from 4 mins to 25 seconds!SDXL training. I was using --MedVram and --no-half. The extension sd-webui-controlnet has added the supports for several control models from the community. (just putting this out here for documentation purposes) Reply reply. 1girl, solo, looking at viewer, light smile, medium breasts, purple eyes, sunglasses, upper body, eyewear on head, white shirt, (black cape:1. I read the description in the sdxl-vae-fp16-fix README. It's certainly good enough for my production work. nazihater3000. as higher rank models requires more vram ,The subreddit for all things related to Modded Minecraft for Minecraft Java Edition --- This subreddit was originally created for discussion around the FTB launcher and its modpacks but has since grown to encompass all aspects of modding the Java edition of Minecraft. x) and taesdxl_decoder. It still is a bit soft on some of the images, but I enjoy mixing and trying to get the checkpoint to do well on anything asked of it. Top 1% Rank by size. 1. For 1 512*512 it takes me 1. Specs: 3060 12GB, tried both vanilla Automatic1111 1. My 4gig 3050 mobile takes about 3 min to do 1024 x 1024 SDXL in A1111. Not a command line option, but an optimization implicitly enabled by using --medvram or --lowvram. For a few days life was good in my AI art world. To calculate the SD in Excel, follow the steps below. It was easy and dr. pretty much the same speed i get from ComfyUI edit: I just made a copy of the . I wanted to see the difference with those along with the refiner pipeline added. 8~5. 5 checkpoints Yeah 8gb is too little for SDXL outside of ComfyUI.