How much faster is comfyui a1111 github Clip text encoder with BREAK formatting like A1111 (uses conditioning concat) - dfl/comfyui-clip-with-break I tried implementing a1111's kdiffusion samplers in diffusers along with the ability to pass user changable settings from a1111 to kdiffusion. The choice is yours—happy creating! Attempts to implement CADS for ComfyUI. To see all available qualifiers, Add new Krita-ComfyUI Google Drive colab v1. multiple LoRas, negative prompting, upscaling), the The big current advantage of ComfyUI over Automatic1111 is it appears to handle VRAM much better. But I have a similar issue even without weights. I'd like to be able to bump up the amount of VRAM A1111 uses so that I avoid those pesky "OutOfMemoryError: CUDA out of memory. That means you can use every extension, setting from A1111 in comfy. CLIP processing is done separately for each prompt, then they are combined together into a single tensor. To see all available 🚀 Instant completion hints while typing (under normal circumstances) ⌨️ Keyboard navigation; 🌒 Dark & Light mode support; 🛠️ Many settings and customizability; 🌍 Translation support for tags, with optional live preview for the full prompt . A1111 feels like an archaic, slow, buggy mess in comparison, well to me in any case. A1111 Alternating Prompts - A special node that will try to alternate between two prompts that You'd see a hard cut if it was rounded into a binary mask. For instance, tasks that take several minutes in A1111 can often be I've been using ComfyUI as my go to for about a month and it's so much better than 1111. LatentDiffusion (for sd1. ComfyUI support; Mac M1/M2 support; Console log level control; NSFW filter free (this extension is aimed at highly developed intellectual people, The A1111 uses less steps proportional to the denoising, that is why it is faster with less denoising, there is a configuration in A1111 that disables it, to have the same in ComfyUI just use less steps. In ComfyUI, it's explicitly revealed. To see all available qualifiers, see our models fine-tuned and integrated with LORA(s), and ControlNET is supported in ComfyUI at least. CUI is also faster. safetensors and vae to run FLUX. Please do the next: Inside the folder extensions\sd-webui-reactor run Terminal or Console (cmd) and then: git reset f48bdf1 --hard; git pull; OR @SameetAsadullah I think the question was about facerestore models and how to avoid copying it to comfyui, but keep using a1111 ones with the help of extra_model_paths. ; path to cd ait_windows/python. Support save A1111 prompt into a ". The discussion tab is available for ongoing discussions: https://github. The model and ui would load in under 40 seconds from HDD, the gradio would also boot up. Ive tried everything, reinstalled drivers, reinstalled the app, still cant get WebUI to run quicker. It works on latest stable relese without extra nodes like this: comfyUI impact pack / efficiency-nodes-comfyui / tinyterraNodes. You can follow the installation instructions on their GitHub Enhanced Performance: Many users report significantly faster image generation times with ComfyUI. by any chance is your request for comfyui to make api requests to the a1111 webui to generate images? 请澄清您的问题。您是否要求Comfyui向A1111 WebUI发出API请求以生成图像？ — Reply to this email directly, view it on GitHub, or unsubscribe. Now fix it. It doesn't have all the features and for that I do occasionally have to switch back, but the node style editor in Comfy is so much clearer and being Here's a comparison chart between ComfyUI, A1111 (Stable Diffusion Web UI), and Forge, highlighting key features, strengths, and considerations: Feature ComfyUI At 1024 x 1024 InvokeAI (Nodes) took 16 seconds, but the output was not comparable in quality to the GUI output, or to ComfyUI's output. g. Many users transitioning from A1111 experience two cases of degraded image quality as described. 5 models which are in a ComfyUI installation. 99 GiB total capacity; 14. If you don't have ComfyUI-Manager yet, get it, then get ComfyUI_ADV_CLIP_emb. i am just asking how can i past them in comfyui like in A1111 you past the data in prompt box and then click the sd-webui-comfyui is an extension for A1111 webui that embeds ComfyUI workflows in different sections of the normal pipeline of the webui. Tried to allocate 4. Are you running within WebUI? WebUI holds on to models and other stuff into VRAM which leaves very little for ComfyUI. 13s/it on comfyUI and on WebUI i get like 173s/it. yaml and ComfyUI will load it #config for a1111 ui #all you have to do is change the base_path to where yours is installed a111: base_path: path/to/stable-diffusion-webui/ checkpoints: models/Stable How do I use it inside ComfyUI or A1111 ??? Can you create and share workflow for ComfyUI ??? The script comfyui_a1111_prompt_array_generator. bundle -b fixes. Contribute to SadaleNet/CLIPTextEncodeA1111-ComfyUI development by creating an account on GitHub. Credit also to the A1111 implementation that I used as a reference. py bdist_wheel. ; run python setup. If after git pull you see the message: Merge made by the 'recursive' strategy and then when you check git status you see Your branch is ahead of 'origin/main' by. Query. I've read the discussions about this and the ComfyUI developer not wanting to have it the way A1111 did because he thinks is wrong. 🙂 Expected Behavior When using an image generated from A1111/forge/reforge, comfyUI has the ability to interpret the metadata into a basic workflow automatically. yaml file. DominikDoom / a1111-sd-webui-tagcomplete Public. On some profilers I can observe performance gain at millisecond level, but the real speed up on most my devices are often unnoticed (about or less Since the UI of ComfyUI started as a PoC, there are many flaws in various aspects. I must check some of the other custom Comfy is faster than A1111 though--and you have a lot of creative freedom to play around with latents, mix-and-match models and do other crazy stuff in a workflow that can be built and re-used. There isn't any real way to tell what effect CADS will have on your generations, but you can load this example workflow into ComfyUI to compare between CADS and non-CADS generations. Can someone help to make a1111 as fast as invoke? Use saved searches to filter your results more quickly. After install it into the sd-webui or sd-webui-forge. That should speed things up a bit on newer cards. Is there anyway of letting A1111 know where to look for these models? Every level of weighting substantially changes the entire image, unlike in A1111 where what you are weighting is substantially changing while rest stays the same more or less until approaching high levels. Can't wait until the A1111 comfyui extension is able to include txt2img and img2img as nodes via api. For the moment I will not be using A1111 for SDXL experimentation. 1) in ComfyUI is much stronger than (word:1. The A1111 soft mask implements some kind of blending between denoised and original latent, probably this is different. - comfyanonymous/ComfyUI I need to access a large number of SD 1. Maybe. 39 GiB (GPU 0; 23. And since it's node based it's inherently non-destructive and procedural. Exactly how it uses mask values between 0 and 1 I don't know. yea A1111 really needs put more people together because its getting outdated each hour If you want to use a task that doesn't use VAE in a1111 on ComfyUI, you can compose a workflow structure that doesn't use VAE on ComfyUI. Custom nodes for Aesthetic, Anime,, Fantasy, Gothic, Line art, Movie posters, Punk and Travel poster art styles for use with Automatic 1111 - ubohex/ComfyUI-Styles-A1111 The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. This node will quickly calculate an appropriate image size for the platform of your choosing. The models lookup is currently hardcoded to facerestore_models directory within comfyui. Among other things this gives you the Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111 SD WebUI, SD WebUI Forge, SD. Test were done with batch = 1, IIRC on older pytorch it was possible to fit more in one batch to reclaim some performance, but on recent nightly it is not required anymore. 0. 60 GiB already allocated; 676. Here are some places where you can find some: Actually did quick google search which brought me to the forge GitHub page and its explained as follows: --cuda-malloc (This flag will make things faster but more risky). The node based environment means its Saved searches Use saved searches to filter your results more quickly ComfyUI noob here, I have downloaded fresh ComfyUI windows portable, downloaded t5xxl_fp16. Saved searches Use saved searches to filter your results more quickly How to generate same image as a1111 webui? Is there any example workflow? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 66 GiB reserved in total by PyTorch) If reserved memory is >> allocated When you drag an image to the ComfyUI window, you will get the settings used to create THAT image, not the batch. In this case during generation vram memory doesn't flow to shared memory. No idea why , but i get like 7. Just Saved searches Use saved searches to filter your results more quickly DanTagGen(Danbooru Tag Generator) is a LLM model designed for generating Danboou Tags with provided informations. Actual Behavior However, it is not able to read the workflow data from a web ComfyUI nodes for the roop extension originally for a1111 stable-diffusion-webui - usaking12/ComfyUI_roop. I'm running it using RTX 4070 Ti SUPER and system has 128GB of ram. Some pretext/TL;DR of the current situation: After doing some fixing from the timestep arg change, previous functionality seems to mostly work with the exception of a few important features: contrast, sharpness, and divisive normalization. I don't doubt they don't happen to some, but it makes me question more how certain environments and workflows are set up. A recipe for a good outpainting is a good prompt that matches the picture, sliders for denoising and FCG scale set to max, and step count of 50 to 100 with Contribute to SalmonRK/SalmonRK-Colab development by creating an account on GitHub. I will start wit I consistently get much better results with Automatic1111's webUI compared to ComfyUI even for seemingly identical workflows. I have to knobble Why is there such big speed differences when generating between ComfyUI, Automatic1111 and other solutions? And why is it so different for each GPU? A friend of mine for example is doing this on a GTX 960 (what a Not the exact same picture but the same amount of details, colors, depth etc. py for generating the required workflow block because it'd be extremely tedious to create the workflow manually. (non-deterministic)--opt-sdp-no-mem-attention: May results in faster speeds than using xFormers on some systems but requires more VRAM. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Great I'm running a 3060, and just got started in ComfyUI (coming from A1111). Just Use saved searches to filter your results more quickly. However, the focus should be on improving completeness in terms of node-based UX rather than steering towards a direction similar to A1111. dev. 5) and sgm. Weights feel so much more different in ComfyUI. (to a lesser extend of course, but still) In that case, you need to check if the "embedding:" prefix is missing from your prompt. A workflow that structurally has to use VAE in ComfyUI can never be performed without VAE in a1111 The big current advantage of ComfyUI over Automatic1111 is it appears to handle VRAM much better. Custom nodes for Aesthetic, Anime,, Fantasy, Gothic, Line art, Movie posters, Punk and Travel poster art styles for use with Automatic 1111 - ubohex/ComfyUI-Styles-A1111 ComfyUI is extensible and many people have written some great custom nodes for it. Forge is still faster and has support for some exclusive extensions. Because of that I am migrating my workflows from A1111 to Comfy. Hmmm. My limit of resolution with controlnet is You generally can't exactly, but you can get close. yes,when I go to the setting page, change the "File format for images" to jpg, it is generated as jpg picture and automatically saved in output folder. Since most people update using the manager, I've decided to use an untracked file: opt_models. Apply the For the Webui nodes, I'm using the A1111 Webui extension for ComfyUI. Next, Cagliostro) - titusfx/sd-webui-reactor. Good performance gains with no loss in quality. Name. Contribute to space-nuko/a1111-stable-diffusion-webui-vram-estimator development by creating an The goal of my post was just to give a fair take on what it's like trying out comfy for someone whose not as technically or code inclined/is a more casual hobbyist like myself whose used to A1111 for many hours and what it's like with that background, just telling people comfy is great but just missing some features peeps like me might be used Any possibilities of porting this to the ComfyUI interface? The automatic1111 GUI is too limited and Comfy is much more flexible. yaml. This allows to create ComfyUI nodes that interact directly with some parts of the webui's normal pipeline. Do note that I don't have much experience in this field, it's just something I got into for fun the last month or two. To see all available qualifiers, see I really love comfyui. I don't understand the part that need some "export I have a custom workflow that uses AITemplate and on-demand upscaling with the tile controlnet; it's so much better than A1111 that I don't really have a reason to use A1111 anymore. Extract the ait_windows. In a1111, you don't know where the VAE is applied. csv styles), this node convert A1111 Embeddings to ComfyUI; Use more than one prompt or style inputs for testing, and select any by 'Prompt Switch' node. Note that it's possible to modify this workflow to change the starting/ending step of the 3 samples with 2 sliders, it's just that I don't have the proper number nodes for that: Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly But the performance between a1111 and ComfyUI is similar, given you select the same optimization and have proper environment. Hopefully people can submit traces, screenshots to help us better understand why A1111 is slow. Comfy doesn't really do "batch" modes, really, it just adds individual entries to the queue very quickly, so adding a batch of 10 images is exactly the same as clicking the "Queue Prompt" button 10 times. Experimental usage of stable-fast and TensorRT. CUI can do a batch of 4 and stay within the 12 GB. Notifications You must be signed in to change notification settings; Sign up for a free GitHub account to open an issue and contact its maintainers and the I don't see an extension or a built-in way to do this in Forge / A1111, but I'm guessing this shouldn't be too hard to implement. But my findings are: Use saved searches to filter your results more quickly. Forge backend = A1111’s sampling + A1111’s text encoder (clip, emphasize, prompt scheduling, etc) + A1111’s Stable Diffusion Object ldm. A1111 is more like a sturdy but highly adaptable workbench for image generation. I think the noise is also generated differently where A1111 uses GPU by default ComfyUI is a powerful and modular UI that allows you to create workflows and pipelines for image generation using Stable Diffusion. I can get ~14 it/s with my 3060 Saved searches Use saved searches to filter your results more quickly n_repeat_batch_size: how many of the n_repeats are processed as a batch, if you have the VRAM this can match the n_repeats for faster processing invert : marigold by default produces depth map where black is front, for controlnets etc. txt that will now hold your user-entered model names. compile alternative that works with Loras etc. To see all available qualifiers, see our documentation. 5 will clamp the size of a single edge to a maximum or minimum of 512 pixels and SDXL will clamp the dimensions to 1024 pixels on a single edge. invokeai is 2 times faster then a1111 when i generate images. (deterministic, slightly slower than --opt-sdp-attention and uses more VRAM)--xformers: Use xFormers library. This will ask pytorch to use cudaMallocAsync for tensor malloc. we want the opposite GitHub Repository: ComfyUI: A1111 (Stable Diffusion Web UI) Forge: Ease of Use: Moderate to complex; node-based workflow may have a steeper learning curve. This set of nodes is based on Diffusers, which makes it easier to import models, apply prompts with weights, inpaint, reference only, controlnet, etc. Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111, SD. The more complex the workflows get (e. It should be at least as fast as the a1111 ui if you do that. May results in faster speeds than using xFormers on some systems but requires more VRAM. . To see all available qualifiers, Concat is equivalent to the BREAK keyword in A1111. It seems to me the ComfyUI's weighting is broken. A1111-like Prompt Editing Syntax for ComfyUI. Embedding handler for A1111 compatible prompts (or . safetensors and clip_l. A much more flexible & fast torch. The problem is this. Note that I am not responsible if one of these breaks your workflows, your ComfyUI install or anything else. This is for compilation only, you can do the Linux install for inference only. Contribute to gameltb/ComfyUI_stable_fast development by creating an account on GitHub. I actually haven't used A1111 except to (Issue #115) Please clarify your question. On my 12GB 3060, A1111 can't generate a single SDXL 1024x1024 image without using RAM for VRAM at some point near the end of generation, even with --medvram set. ; If you cloned your ComfyUI install and you are using a virtual ComfyUI runs much quicker than WebUI A1111 . DiffusionEngine (for SDXL) + Unet DanTagGen(Danbooru Tag Generator) is a LLM model designed for generating Danboou Tags with provided informations. There's an extension for A1111 but it doesn't work with ControlNet nor Forge https I've started with Easy Diffusion, and then moved to Automatic 1111, but recently I installed Comfy UI, and drag and dropped a work flow from Google (Sytans Workflow) and it is amazing. As a beginner, it is a bit difficult, however, to set up Tiled Diffusion plus Hey, I'm using a 3090ti GPU with 24Gb VRAM. For now it seems that nvidia foooocus(ed) (lol, yeah pun intended) on A1111 for this extension. 14. Only things I have changed are: --medvram (wich shouldn´t speed up generations afaik) and I installed the new refiner extension (really don´t see how that should influence rendertime as I haven´t even used it because it ran fine with dreamshaper when I restarted it. Stable Diffusion Sketch, an Android client app that connect to your own ComfyUI or A1111-sd-webui - jordenyt/stable_diffusion_sketch Never really encountered long lasting breaking issues or errors in A1111, only at times of big update bursts which is understandable. According to A1111 WebUI, I'm using xformers 0. And produces better results than I ever get it A1111 somehow, am I doing something wrong with A1111, or is Comfy UI just that much faster and better? Saved searches Use saved searches to filter your results more quickly Faster to start up, faster to load models, faster to gen, faster to change things it's a real eye opener after the snail paced A1111. This is a completely different set of nodes than Comfy's own KSampler series. It aims to provide user a more convinient way to make prompts for Text2Image model which is trained on Danbooru datasets. That'll give you the option to use a node that weights your prompt the way Automatic1111 does The file: optional_models. Note: Translation files are provided by the community, see here for a list of translations I know of. quality is based on other stuff and out the box comfyui produces equal quality to Automatic1111. Whether you choose ComfyUI, A1111, or Forge, each offers unique strengths to help you unlock the full potential of Stable Diffusion. Weighting system between ComfyUI and A1111 are different. Many thanks for working on this, Comfy! I can confirm that there are still some (albeit much lesser) issues relating to functionality. 96 MiB free; 20. Would love to see this fixed in a standard way. 1) in A1111. Explore the GitHub Discussions forum for DominikDoom a1111-sd-webui-tagcomplete. If it isn't let me know because it's something I need This thread will be used for performance profiling analysis for Forge/A1111/ComfyUI. Instead you see some kind of transition, but only for mask values close to 1, it seems to vanish quickly. For a Use saved searches to filter your results more quickly. png" file Parse A1111 prompt failed when the tag "Step:" is not the first one. 0; A1111 colab still broke but will update soon (plan on these month):: Updated 19 DEC 2023 (ฺBoth runtime Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly Jannchie's ComfyUI custom nodes. So I'm not sure where you are at there. txt was being overwritten when updating the installation using the ComfyUI Manager, although it stayed intact when being updated by a standard git pull. Xformers has a significant performance improvement. Next, Cagliostro) - Gourieff/sd-webui-reactor ComfyUI support; Mac M1/M2 support; Console log level control; NSFW filter Its like an experimentation superlab. 1-schnell. Saved searches Use saved searches to filter your results more quickly Contribute to space-nuko/a1111-stable-diffusion-webui-vram-estimator development by creating an account on GitHub. Two new ComfyUI nodes: CLIPTextEncodeA1111 : A variant of CLIPTextEncode that converts A1111-like prompt into standard prompt For some reason a1111 started to perform much better with sdxl today. Tag autocomplete supports built-in Hi! Thank you so much for migrating Tiled diffusion / Multidiffusion and Tiled VAE to ComfyUI. I like web UI more, but comfy ui just gets things done quicker, and i cant figure out why, its breaking my brain. Discuss code, ask questions & collaborate with the developer community. On my 12GB 3060, A1111 can't generate a single SDXL 1024x1024 image without For instance (word:1. txt" file not from ". ; open a cmd pathed to the current folder and use git clone --recursive ait_windows. SD1. To see all available qualifiers, #Rename this to extra_model_paths. zip file in \ComfyUI-AIT\compile directory. txt" file, and load the ". Try using an fp16 model config in the CheckpointLoader node. I don't know how to lookup in folders provided in extra_model_paths. I will give it a try ;) EDIT : got a bunch of errors at start. Outpainting, unlike normal image generation, seems to profit very much from large step count. Use saved searches to filter your results more quickly. com With the latest update to ComfyUI it is now possible to use the AdvancedClipEncode node which gives you control over how you want prompt weights interpreted and normalized. I have the same issue with MUCH less loras/embeddings. qtf ptqor swrmfry vxlnxt ybdja tqo qkoy hcghuv xiaag iwjltu