Ksampler efficient reddit In short, I've simply removed three of them, reconnected the "Latent" of the remaining node to the "empty latent image" node, and ran. nothing. Here are some sample workflows with XY plot for different use cases which can be explored. /r/StableDiffusion is back open after the Welcome to the unofficial ComfyUI subreddit. This additional training allows SVDXT to generate more complex and detailed videos. Behold, my Black Rotuer youtube upvotes First KSampler: steps 14, cfg 8. (Efficient), KSampler SDXL (Eff. to give you context I copied the workflow exactly from Are you asking about saving the preview image (which is decoded) or the latent at that step (not decoded) ? If latent, the nodes are just called save latent and load latent. Please keep posted images SFW. I will say I do notice a slow down in generation due to this issue, and (I dont have the images to compare and show you) I notice when I use "auto queue" with turbo sdxl it is INCREDIBLY slower than it should be. Loras and conditionings. I tried all the possible upscalers in ComfyUI (LDSR, Latent Upcale, several models such as NMKV, the Ultimate SDUpscale node, "hires fix" (yuck!), the Iterative Latent upscale via pixel space node (mouthful), and even bought a license from Topaz to compare the results with Faststone (which is great btw for this type of Whenever I try to generate an image, I encounter problems, apparently with Ksampler. This is a feature that I use often in A1111, seems it'd require an advanced KSampler per ControlNet I add, it gets complicated fast. it has the I've just loaded an image from Civitai and the person's workflow had four "KSampler" nodes in sequence, all of them with the exact same configuration (same model, same CFG, same sampler, etc). Did you use the latest comfyui /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. Edit: I just tried a separate, non-checkpoint vae (vae-ft-mse-840000-ema-pruned) and it works WAY better, but still producing mild artifacts after five round trips, so not 1:1. The KSampler node is the same node for both txt2img and img2img. 5 This should mean that the original input isn't completely overwritten with noise before going through the sampler. More info: https://rtech. I only have 8GB VRAM but it's sitting around 7. /r/StableDiffusion is back open after First, thank you very much for participating in the discussion. If you click the right mouse button on your ksampler and choose convert seed to input. The If you follow the wire in the 6. also I think Comfy Devs need to figure out good sort of unit testing , maybe we as a group create a few templates with the Efficient pack and then before pushing out changes they could be run as a test to see what Right click the ksampler and there's a denoise calc option. 5, or 1024 for XL models) Use NNLatentUpscale to double the latent resolution Run this through Iterative Mixing KSampler at full strength (1. The ksampler advanced will take over (start at step) and finish using the leftover noise. GPU is at 100% yet I know it's not doing anything because the fan is not spinning (any img generation causes it to hit max right away). Were the 2 KSampler needed? I feel that i could have used a bunch of ConditioningCombiner so everything leads to 1 node that goes to the KSampler. We ask that you please take a minute to read through the rules and check out the resources provided before creating a post, especially if you are new here. Then have the output of the first image generated feed in as the latent image used in the next ksampler keep dead (Mac M1) I am using Macbook M1 Max, When rendering in Ksample node, it keep dead. More posts you may like r/linux_gaming. For me it makes a huge difference the refiner, since I have only have a laptop to run SDXL with 4GB vRAM, I manage to get as fast as possible by using very few steps, 10+5 refiner steps. I am using command and launch comfy ui /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. /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 Welcome to the unofficial ComfyUI subreddit. I have never used it myself, but worth experimenting with For Ksamplers you can just pass the latent output of a ksampler into another ksampler, just make sure to put the denoising lower in the 2nd Ksampler Welcome to the unofficial ComfyUI subreddit. Valheim; Genshin Impact; Minecraft; Super simple XY Plot node for ComfyUI without any special KSampler node Resource - Update Hi guys, I wrote a very simple XY Plot node. and while the Efficient Loader and KSampler nodes are really convenient - to the point that I'll probably make my own SDXL workflow using them - I still can't To access UntypedStorage directly, use tensor. What it currently seems to do: on base sampling it is not sending remaining noise, and in refiner sampling it is adding noise. But then I hit the KSampler, and. Or efficiency pack has a loader for both checkpoint, vae, and lora. When I right click KSampler and pick 'Convert Sampler_name to input' it adds a Sampler_name input as expected, however I cannot find a node that would work with it. This process took almost no time. 5 KSampler to SDXL KSampler? I get the error: "It seems that models and clips are mixed and interconnected between SDXL Base, SDXL Refiner, SD1. Resolved. There is also Kohya's HiresFix node, that provides a way to generate /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. comfyui join leave 36,554 readers. x return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) /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. json you had used, helpful. Welcome to the TickTick Reddit! This community is devoted to the discussion of TicTick, regarding questions during use, tips/tricks, ideas to discuss, news and updates, anything to make TickTick better to use for you! *Note: Most efficient way to reach support team: sending tickets via Feedback&Suggestion in the app! Firstly, the Ksampler for the base has certain settings we need to take note of. model built and trained differently compared to 1. 5 and xl upd: you might also watch lattest video by matteo aka Latent Vision on youtube. More info: https Warning. It only appears if i do the following every single time i want to generate an image: Click "Queue Prompt" -> Click on "manager" -> Click "preview method" -> change it -> click on it again and change it /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. When applying a LoRA model Turns out this was a Python configuration issue, not an Efficiency issue. hi bro, i am getting the same issue can tell me the process to fix this? if possible tell me the all of them works as expected on KSampler nodes BUT not at all on KSampler Advanced which should be used for SDXL workflow. u/rgthree: The bypasser capability would not exist without the Mute/Bypass Repeater node. 5 than 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. The Tiled KSampler forces the generation to obtain a seamless tile but t change the aesthetics considerably. I have 2 images. __get__(instance, owner)() ----- Efficient Loader Models Cache: Ckpt: [1] dreamshaper_8 Lora: [1] base_ckpt: dreamshaper_8 lora(mod,clip): epi_noiseoffset2(1. [w/NOTE: This node is originally created by LucianoCirino, but the a/original repository is no longer maintained and has been forked by a new maintainer. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app /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. i think sd3 models need some additional shenanigans between loader and KSampler. 0) KSampler(Efficient) Warning: No vae input detected, proceeding as if vae I noticed some Ksampler’s have the preview under and some do not. /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 You can try to use the ModelMergeSimple node, it allows you to put in 2 models and then put them into a single KSampler. this guy oppened my We would like to show you a description here but the site won’t allow us. Not sure what is going on recently but every 2-3 images i generate, it just changes the seed to the last image and i am getting annoyed by this. And then search for (dubbel click on background) primitive node. I’m not seeing many Welcome to the unofficial ComfyUI subreddit. ) Modded KSamplers with the ability to live preview generations and/or vae decode images. Or check it out in the app stores Using the default ksampler I can use the Select From Batch node to pick one image from a batch to generate, but I cant seem to find a way to do that with the Efficient loader since it lacks a latent input to attach to. Gaming. A bit of a loss for how to do something - which I thought would be super simple. 1 I was using efficiency node and it allows for the generated images in the step process to be viewed. Also, the clean switch between Base+Refiner and ReVision wouldn’t be possible without the Context Switch node. The efficient loader has the checkpoint for the initial image being made in the KSampler. Basically this just means "what I just made, keep the big defining features but overwrite the fine details Any updates to moving this to dev branch, out of the 10 or so here posting about the issue prob 100's are having it and not using the nodes anymore :/ . That is a good question, no "checkpoint loader" does not light up, the ksampler is the earliest node to light up. But it gave better results than I thought. its so slow for me on ksampler still Reply reply Top 1% Rank by size . The new update to Efficiency added a bunch of new nodes for XY Plotting, and you can add inputs on the fly. Work out the bugs, and the repeated habits make it automatic for you to do. i've tried some workflows on civitai for facedetailing, where i have just one ksampler doing the whole 24 steps and then a detailer node, and i expected it would be quicker, but it takes longer and the result is poorer, despite tinkering with settings to the best of my ability. I can't say what way is the correct one, I always thought "you're supposed to just switch the model". /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 /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. More info: https u/LucianoCirino: The XY Plot function would not exist without the Efficient Loader and KSampler nodes. A lot of people are just discovering this technology, and want to show off what they created. As you can see on the bottom left "Preview Image" its perfect, then the final product doesn't look as good. How do I debug this? Officially the BEST subreddit for VEGAS Pro! Here we're dedicated to helping out VEGAS Pro editors by answering questions and informing about the latest news! Be sure to read the rules to avoid getting banned! Also this subreddit looks GREAT in 'Old Reddit' so check it out if you're not a fan of 'New Reddit'. The png below has my most recent workflow, using default nodes. Normally this would just be a git submodule. Some mention the word preview in the actual node but these tend to be larger input and output nodes. You should find that the iterative mixing path generates Ksampler" sampler_name random input . I have no idea what your discussion about CFG 0 is I might be missing something but 3 steps didn't work for me -- I got blurry unresolved images as normally expected. Is there anything I can do I used the ControlNet extension & the Realistic Vision checkpoint, and it keeps giving me this error, "AttributeError: 'NoneType' object has no It will show the steps in the KSampler panel, at the bottom. KSampler (Efficient) GMFSS Fortuna VFI ConditioningSetMaskAndCombine GrowMaskWithBlur INTConstant Nodes that have failed to load will show as red on the graph. it seems KSampler Advanced manages its own SEED and not affected even when convert Ksampler (efficient) HiRes Fix Reactor faceswap Pretext (prompt box) control net stacker I suspect the efficiency node is the main issue as I read that it may control other nodes that seem to be failing to update for me. This patches basic ComfyUI behaviour - don't use together with other samplers. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will The denoise there is 0. However, its impossible for me to make it show in other nodes such as Ultimate SD Upscaler. Same workflow with Ksampler set to 25/40 steps I call it refine, but you can call it img to img because the SDXL output image goes to Vae encode of SD 1. r/linux_gaming decreasing size and maximizing space efficiency! /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 (Once to the left in your first simple ksampler, then twice in the efficient ksampler - the node itself will do one denoising pass first and then do at least one more due to the use of the hires fix script). if you set to 30 total steps you need to tell the base's ksampler to start at 0 and stop at 25 and return with left noise while on the refiner's, to start at 26 and end at 30 (or let 1000, doesn't Welcome to the unofficial ComfyUI subreddit. You guys have been very supportive, so I'm posting here first. Have a series of copies of your positive prompts with just the description of the subject changed each feeding in to its own advanced Ksampler. You switched accounts on another tab or window. For txt2img you send it an empty latent image which is what the EmptyLatentImage node generates. On the surface basically two KSamplerAdvanced combined, therefore two input sets for base/refiner model and prompt. . untyped_storage() instead of tensor. Well I got into img2img last week, which made me switch back to the regular KSampler for simplified denoising, and then I got into Turbo just to see how fast it was. (-1 seed to apply the selected seed behavior) Can execute a variety of scripts, such as the XY Plot script. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper Is the KSampler is the first thing to go green? Definitely no nodes before that quickly flick green before the KSampler? The seed number shown in the rgthree is the same each time? The image generated is identical? Any clues in the command prompt window? Keep in mind that when using an acyclic graph-based ui like comfyui, usually one node is being executed at a time. The image created is flat, devoid of details and nuances, as if it were cut out or vector-based. fget. Using GPU (A1111) to replicate noise pattern. Like the standard Ksampler node? /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. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation Welcome to the unofficial ComfyUI subreddit. Is it possible to generate the usual 4 images preview on a ksampler in comfyui? I kinda miss seeing the 4 images of a batch processing, instead of just the first Welcome to the unofficial ComfyUI subreddit. 25. 0% indefinitely (even left it over night). Heya, part 5 of my series of step by step tutorials is out, it covers improving your adv ksampler setup and usage of prediffusion with an unco-operative prompt to get more out of your workflow. This will get to the low-resolution stage and stop. We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. 2 images need to be generated from Ksampler. Word of warning though, this node pack impacts RAM usage so I disable it before any big render. How to superimpose just ONE part of an image into another and let the ksampler continue its process from there (mainly upscaling with a bit of noise). Using the Iterative Mixing KSampler to noise up the 2x latent before passing it to a few steps of refinement in a regular KSampler. /r/StableDiffusion is back Set the Refiner's KSampler step count to 20 (matching the the Base Model sampler) *and* change its denosier to . You can use it in any workflow without any /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. There are lists floating around on Reddit, somewhere. Share and Run ComfyUI workflows in the cloud. Also, if this is new and exciting to you, feel free to Welcome to the TickTick Reddit! This community is devoted to the discussion of TicTick, regarding questions during use, tips/tricks, ideas to discuss, news and updates, anything to make TickTick better to use for you! *Note: Most efficient way to reach support team: sending tickets via Feedback&Suggestion in the app! This workflow can be greatly reduced in size by using the new Efficiency Loader SDXL and Efficiency KSampler SDXL nodes, by LucianoCirino, which also support a ControlNet Stack as input. the bottom ksampler node would be the "txt2img". /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will - I have an RTX 2070 + 16GB Ram, and it seems like ComfyUI has been working fineBut today when generating images, after a few generations ComfyUI seems to slow down from about 15 seconds to generate an image to 1 minute and a half. Any one ready to help or give support are welcome and I am revamping and recycling all the nodes Get the Reddit app Scan this QR code to download the app now. As such you should use the advanced ksampler, to set a starting step of higher than 0 (ideally around the same number as the previous ksampler ended). I did have some OOM errors before but not anymore. Still trying to find out how to upscale Try latent upscaling from the output of ksampler after sampling with svd /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers I know the Unsampler can do this, but when I pass it back through a kSampler, I get a really really contrasty image back. 0 diagram, you'll see that the KSampler node in the HiRes-Fix function gets positive and negative CLIP from the Context Big node which, in turn, gets it from the Efficient Loader node. 'K3' is the renamed node 'KSampler SDXL (Eff. When I run the t2i models, I see no effect, as if controlnet isn't working at all. )'. support/docs /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. The workflow posted here relies heavily on useless third-party nodes from unknown extensions. 00 Absolutely, they do! Just finding those Efficiency Nodes have really cleaned up a whole bunch of noodles. /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. Hopefully someone can help. Almost identical. true. Belittling their efforts will get you banned. To upscale 4x well with the Iterative Mixing KSampler node, do this: I have found there is a tradeoff between the strength you use in the iterative mixing step vs. /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 Impact pack does this weird thing where it tries to git clone (!) another repo during startup. 0 denoise) KSample the outputs at perhaps denoise=0. The subject and background are rendered separately, blended and then upscaled together. Now if all is left the same, ksampler2 will overwrite the latent image from ksampler 1 with its own seed, as it will assume it is receiving a blank latent, unless you tell it otherwise. 0, dpmpp_sde_gpu, karras, denoise 1. They were working up until about a week or so ago for use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" Get an ad-free experience with special benefits, and directly support Reddit. Reload to refresh your session. However, they have some key differences: Number of Frames: SVD: Trained on 14 frames. More Main problem comes from fact that default KSampler adds noise as if it got completely empty latent image to work with, and (unsure about details) /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. Is there a difference in how these official controlnet lora models are created vs the ControlLoraSave in comfy? I've been testing different ranks derived from the diffusers SDXL controlnet depth model, and while the different rank loras seem to follow a predictable trend of losing accuracy with fewer ranks, all of the derived lora models even up to 512 are - make sure you are using the k-sampler (efficient) version, or another sampler node that has the 'sampler state' setting, for the first pass (low resolution) sample - 'mute' your second k-sampler (ctrl-m) that processes the upscaled latent - run your prompt. These are sets of custom nodes, that will appear in the Add Node list, and the Ksampler Really hoping efficiency nodes adds support cause that’s my favorite Welcome to the unofficial ComfyUI subreddit. support/docs/meta So I wanted to know what is the best KSampler for squeeze the most quality of the models? I'm not looking for speed since it's a personal project and I have no rush. But the efficiency nodes are not working anymore even though i have it installed. And above all, BE NICE. The Efficiency Nodes updates and new improvements are now in working mode and you can check same in the forked branch repository. return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) /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. Does the preview image get passed through another ksampler that doesn't have I even took out "Efficiency loader" and used the default loading nodes and it still happens. Efficiency Nodes -XY plot workflow and enhancements . Members Online. /r/StableDiffusion is back open after the protest of Reddit killing open API In the first ksampler adv, you need to set the total step, which step it will stop and pass the latent image with leftover noise to the advanced ksampler. And the Efficient Loader node generates those values from the positive and negative prompt values that are defined in the T2I Saving Images at different steps . Can you tell me why this is happening? /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. basically calculates the steps needed to reach the desired denoise , and applies the steps. I can get it to show a live preview in the ksampler. Secondly, I unfortunately didn't really understand the last question. Just wondering how to get the basic Ksampler with automatic preview underneath. /r/StableDiffusion is back open after the protest of Reddit killing You signed in with another tab or window. SVDXT: Trained on 25 frames and then fine-tuned on the 14-frame dataset used for SVD. 17 votes, 25 comments. We would like to show you a description here but the site won’t allow us. Reply reply caviterginsoy • thanks, found sdxl_styles. How do I pass SD1. get reddit premium. Am I missing a way to do Share and Run ComfyUI workflows in the cloud. In this case he also uses the ModelSamplingDiscrete node from Both SVD and SVDXT are video generation models based on Stable Diffusion. I noticed that the efficient ksampler entries were out of whack when I first loaded the workflow (my nodes might be slightly newer) but aside from choosing a different VAE and model, I don't think I changed anything. maybe you can set a simple ksampler with the de-noise /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. Feature a special seed box that allows for a clearer management of seeds. Hi, I've converted the Ksampler "sampler_name" widget as input (see figure below), which node should it be connected to in order to randomly select the sampler_name from a list ? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers but, what if I want to have the same lora applied at different weights in in different pipelines that exist within a single workflow- lets say I have two different pipelines with two different ksamplers in a single workflow, and I want to use the same lora applied at different weights for each ksampler, and each ksampler uses different prompts View community ranking In the Top 20% of largest communities on Reddit. To use the forked version, you should uninstall the original version and I get more efficient at my morning routine the more I practice it, work out the bugs. By utilizing this approach, you can move a step window that applies each previously generated latent from the last iteration, allowing for the creation of latent representations for each iteration. Join us for game discussions, tips and tricks, and all things OSRS! OSRS is the official legacy version of RuneScape, the largest free /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. 0,1. In theory nodes can be 'colorized' in levels, which will then enable parallelism, but the lightgraph library doesn't colorize that way. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. KSampler info. In the Ksampler preview, my images often have much better saturation/vibrancy before the final image is made. Or check it out in the app stores     TOPICS. Ksampler keeps changing random seed from -1 to a fixed number . The issues are as follows. Sort by: Best The community for Old School RuneScape discussion on Reddit. Right now my order is: Checkpoint - loras - cliptextencode - controlnet - ksampler Wondering if this is correct or if anything else should be considered regarding order, esp. just input the total steps you want to run, and the denoise level, and it'll calculate & inject the necessary step count. That plus how complicated the advanced KSampler is made latent too frustrating. Get the Reddit app Scan this QR code to download the app now. 35 users here now. The "Add noise" option is enabled, along with "return with leftover noise. More info Make sure that when saving the result to file you select the original fps multiplied by the multiplier. Just doing some refinement in a regular KSampler. Doing it this way makes reproducible builds a huge pain; I had to add an extra step in my build process to manually clone it to a known good commit hash just to keep that node pack from messing with my source files. You signed out in another tab or window. With KSampler Advanced, you can break down a single sampling process into smaller steps and perform them separately. After KSampler, I doubled the frame count to interpolate the final frame count. I'm going full noodles with comfyUI but need some help and explanation. Any ideas on how to fix this? I was working on a project, but now I'mnot Solved. Feature a special seed box Changing the conditions affected the video quality, but the progress speed at the KSampler step did not improve at all (the GPU also hardly works consistently). I was going to get stuck into creating a "Switch" node The simplest configuration to have a working XY Plot is by using the new Efficient Loader and Efficient KSampler nodes, part of the Efficiency Node Suite. I’m using ComfyUI through Runpod I followed SECourse’s instructions on installing ComfyUI through Runpod, specifically the instructions he laid out To upscale 4x well with the Iterative Mixing KSampler node, do this: Generate your initial image at 512x512 (for SD1. " This implies that if a picture is rendered and the latent image is transformed at this point into a regular picture, it would result in something like this: Next, we'll explore the Refiner. Discussion of Advanced KSampler nodes and what it can do if you use efficiency plugin. It changes the image too much and often adds mutations. More info hello everyone, I want to give2 latent images to ksampler at the same time. For some reason the new update didn't like the FreeInit Iteration Options node connected to sample When using img2img w/ the basic sampler, the denoise effectively 'mixes' the original input in with the result more. KSampler (Efficient), KSampler Adv. I become more efficient in my workouts the more I do them. So is there another way to view the images being generate through the steps? Side question: it seems ComfyUI cant do inpainting? Where is the "Denoise" Option in the KSampler BASE (Advanced)-Mode to control the strength of the imput image? Share Add a Comment. Maybe it will get fixed later on, it works fine with the mask nodes. There is some magic beyond just encapsulating two samplers into one. More info: https Welcome to the unofficial ComfyUI subreddit. The output of the node goes to the positive input on the KSampler. Is there a way to control this with the advanced sampler? I've tried just I have noticed this behavior with the KSampler Efficient and Primere Seed nodes. Tried the fooocus Ksampler using the same prompt, same number of steps, same seed and same samplers than with my usual workflow. r/comfyui • I made a composition workflow, mostly to avoid prompt bleed. Only the LCM Sampler extension is needed, as shown in this video. effectively forcing users to use the official Reddit app. By adjusting parameters such as denoising levels, latent interpolation, and conditioning strength, you You can prove this to yourself by taking your positive and negative prompts and switching them, then running that through a ksampler with negative [whatever your initial CFG was]. Welcome to the unofficial ComfyUI subreddit. 2. It enables users to select and configure different sampling strategies tailored to their specific needs, enhancing the adaptability and efficiency of the sampling process. Posted by u/Busy_Wolverine_3984 - 2 votes and 19 comments The nodes on the top for the mask shenanigan are necessary for now, the efficient ksampler seems ignore the mask for the VAE part. /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 I used comfy for months before realizing this as well :) Efficiency Nodes are nice if you're not using them btw, Efficient Loader & KSampler (SDXL) /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. Yes tried Efficiency node, but it simply doesnt produce the same result. support/docs Welcome to the unofficial ComfyUI subreddit. I become more efficient at my project routines, my evening routines, my makeup routine, my skincare routine, the more I do it. But I doubt a saved latent would decode precisely the same as the preview decode, since the preview is a reduced resolution/ accuracy decode of the current state of the latent. has anyone found a facedetailer that is more efficient than a two Start with the HighResFix script of KSampler (efficient), that is close to A1111's HiResFix. storage() return self. View community ranking In the Top 1% of largest communities on Reddit. Or perhaps do? Other samplers might The KSampler node is designed to provide a basic sampling mechanism for various applications. Other than that, the setup looks good based on my memory. Please share your tips, tricks, and workflows for using this software to create your AI art. KSampler Sequence Description The primary goal of KSamplerSeq is to provide a flexible and efficient way to generate high-quality image sequences by leveraging various sampling methods, conditioning sequences, and interpolation techniques. the refinement sampling. I started to use the advanced KSampler, 64 steps, base ends at 54 refiner starts at 54 Reply reply FoxMountain9872 Welcome to the unofficial ComfyUI subreddit. 14 votes, 93 comments. Guess I'll just KSampler (Efficient), KSampler Adv. Why is my "Preview Image" not saving as is and instead changing and making it worst. Edit: I've tried replacing all the efficiency nodes in my workflow just in case, and deleting all pycache directories just to be thorough, and the error still occurs. made a simple workflow to help folks get a better understanding of the Advanced Ksampler. support/docs The results with KSampler SDXL felt oversaturated. A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count. To use the forked version, you should uninstall the original version and /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.

error

Enjoy this blog? Please spread the word :)