Ksampler efficient reddit. Welcome to the unofficial ComfyUI subreddit.

Ksampler efficient reddit 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. 35 users here now. [w/NOTE: This node is originally created by LucianoCirino, but the a/original repository is no longer maintained and has been forked by a new maintainer. There are lists floating around on Reddit, somewhere. Please keep posted images SFW. To use the forked version, you should uninstall the original version and 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. 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 Ah, I understand. I’m not seeing many The KSampler (efficient) then adds these integers to the current seed, resulting in image outputs for seed+0, seed+1, and seed+2. tbh i am more interested in why lora is so much different. This will get to the low-resolution stage and stop. I started to use the advanced KSampler, 64 steps, base ends at 54 refiner starts at 54 Reply reply You guys have been very supportive, so I'm posting here first. The ksampler advanced will take over (start at step) and finish using the leftover noise. In the Ksampler preview, my images often have much better saturation/vibrancy before the final image is made. I haven't done anything different on my laptop The results with KSampler SDXL felt oversaturated. /r/StableDiffusion is back open after Welcome to the unofficial ComfyUI subreddit. , Karras). 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. Here are some sample workflows with XY plot for different use cases which can be explored. /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 Posted by u/Busy_Wolverine_3984 - 2 votes and 19 comments Where is the "Denoise" Option in the KSampler BASE (Advanced)-Mode to control the strength of the imput image? Share Add a Comment. KSampler info. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, KSampler_"mat1 and mat2 shapes cannot be multiplied (24576x320 and 768x320)" #73. You can try to use the ModelMergeSimple node, it allows you to put in 2 models and then put them into a single KSampler. I will share a workflow soon from a new custom_node that implements the Iterative Welcome to the unofficial ComfyUI subreddit. Share and Run ComfyUI workflows in the cloud. has anyone found a facedetailer that is more efficient than a two Ah, I understand. New comments cannot be posted. vvvmmm851 opened this issue Jan 21, 2025 · 14 comments Ksampler" sampler_name random input . The "Add noise" option is enabled, along with "return with leftover noise. We would like to show you a description here but the site won’t allow us. Resolved. comfyui join leave 36,554 readers. . i dont really care about getting the same image from both of them but if you check closely while automatic1111 is almost perfect (you dont have to know the model, it is almost real) but the comfyui one is as if i reduced lora weight or something. Using the Iterative Mixing KSampler to noise up the 2x latent before passing it to a few steps of refinement in a regular KSampler. By the way why „K“ Sampler? Does someone Get an ad-free experience with special benefits, and directly support Reddit. it seems KSampler Advanced manages its own SEED and not affected even when convert 51 votes, 39 comments. 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'. g. 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. If you want an alternative that works you should try SDXL nodes from 'Efficiency Nodes' pack or TinyTerraNodes. 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 Welcome to the unofficial ComfyUI subreddit. In case you aren't aware, Efficiency Nodes are no Welcome to the unofficial ComfyUI subreddit. Yes tried Efficiency node, but it simply doesnt produce the same result. As a tip: I use this process (excluding refiner comparison) to get an overview of which sampler is best suited for my prompt, and also to refine the prompt, for example if you notice the 3 consecutive 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. When I first 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. 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. Share Add a Comment /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. u/rgthree: The bypasser capability would not exist without the Mute/Bypass Repeater node. More info: https://rtech. I Turns out this was a Python configuration issue, not an Efficiency issue. They were working up until about a week or so ago for 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). Any one ready to help or give support are There is nothing special about it - Ksampler algorithms are same for most (if not all) nodes. how can i fix that? - 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. Is really better ? Question - Help Any experience ? Locked post. Discussion of Advanced KSampler nodes and what it can do Get the Reddit app Scan this QR code to download the app now. Behold, my Black Rotuer youtube upvotes 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 51 votes, 39 comments. Also, the clean switch between Base+Refiner and ReVision wouldn’t be possible without the Context Switch node. hi bro, i am getting the same issue can tell me the process to fix this? if possible tell me the steps. As a tip: I use this process (excluding refiner comparison) to get an overview of which sampler is best suited for my prompt, and also to refine the prompt, for example if you notice the 3 consecutive /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. get reddit premium. 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 I can only get the seed of the ksampler to randomize once per queued generation- When doing batches/repeated processes during a single queued generation, how can I make the seed change with each batched iteration? Impact pack does this weird thing where it tries to git clone (!) another repo during startup. Open vvvmmm851 opened this issue Jan 21, 2025 · 14 comments Open KSampler_"mat1 and mat2 shapes cannot be multiplied (24576x320 and 768x320)" #73. Also, if this is new and exciting to you, feel free to I am trying to save my XY grid plot automatically after generation. 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. More info The Efficiency Nodes updates and new improvements are now in working mode and you can check same in the forked branch repository. 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. Ksampler keeps changing random seed from -1 to a fixed number . 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 KSampler (Efficient) GMFSS Fortuna VFI ConditioningSetMaskAndCombine GrowMaskWithBlur INTConstant Nodes that have failed to load will show as red on the graph. /r/StableDiffusion is back open after the protest of Reddit killing open API Welcome to the unofficial ComfyUI subreddit. /r/StableDiffusion is back open after the protest of Reddit killing open API 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! After KSampler, I doubled the frame count to interpolate the final frame count. Reply reply caviterginsoy • thanks, found sdxl_styles. /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. 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 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 /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 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. This process took almost no time. Hi, I understand that the Efficiency node pack's XY plot functionality enables the automatic variation and testing of parameters such as "CFG", "Seeds", and "Checkpoints" within the KSampler (Efficiency). Start with the HighResFix script of KSampler (efficient), that is close to A1111's HiResFix. true. You can find the node here. 5 KSampler to SDXL KSampler? I get the Welcome to the unofficial ComfyUI subreddit. OP may try Ksampler Advanced from the Inspire Pack, which includes the GPU noise mode instead of CPU which may help make your results look more similar to those of Auto1111. Open comment sort options /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 Since adding endless lora nodes tends to mess the simplest workflow, I'm looking for a plugin with a lora stacker node. The efficient loader has the checkpoint for the initial image being made in the KSampler. Belittling their efforts will get you banned. basically calculates the steps needed to reach the desired denoise , and applies the steps. However, when I change values in some other nodes like something like Canny Edge node or DW Pose Estimator, they don't rerun. I am using KSampler (Efficient) and have the preview_mode set to 'None'. A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count. 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. " This implies that if a picture is rendered Welcome to the unofficial ComfyUI subreddit. When applying a LoRA model use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" I suppose any of us who played around with nodes and wokflows has wondered what the different options in the KSampler are. 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). However, what if I also want to generate 4-8 images from the second Ksampler before feeding into the 3rd Ksampler? Share Add a Comment. effectively forcing users to use the official Reddit app. More info: https u/LucianoCirino: The XY Plot function would not exist without the Efficient Loader and KSampler nodes. Please share your tips, tricks, and workflows for using this software to create your AI art. Members Online. What it currently seems to do: on base sampling it is not sending remaining noise, and in refiner sampling it is adding noise. SO this has also changed up my workflow so far. 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. This specific image is the result from repeated upscaling from: 512 -> 1024 -> 2048 -> 3072 -> 4096 using a denoise strength all of them works as expected on KSampler nodes BUT not at all on KSampler Advanced which should be used for SDXL workflow. The Adding in Iterative Mixing KSampler from the early work on DemoFusion produces far more spatially consistent results as shown in the second image. 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 /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. How do I pass SD1. TL;DR: Instead of using on the “batch size” feature, send a sequential list of /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. Am I missing a way to do its so slow for me on ksampler still Reply reply Top 1% Rank by size . Sort by: Best. it will be really helpfull to me. Using GPU (A1111) to replicate noise pattern. Keep in mind that when using an acyclic graph-based ui like comfyui, usually one node is being executed at a time. Normally this would just be a git submodule. 25. The images saved are now only the individual images, and not the XY Plot grid? If you follow the wire in the 6. Sort by: Best The community for Old School RuneScape discussion on Reddit. the refinement sampling. The thing is KSampler (efficiency) can only be used when using other none efficiency nodes but not with the efficienct loader for example. However, its impossible for me to make it show in other nodes such as Ultimate SD Upscaler. And above all, BE NICE. Other than that, the setup looks good based on my memory. When using img2img w/ the basic sampler, the denoise effectively 'mixes' the original input in with the result more. support/docs/meta Welcome to the unofficial ComfyUI subreddit. Firstly, the Ksampler for the base has certain settings we need to take note of. Welcome to the unofficial ComfyUI subreddit. 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 made a simple workflow to help folks get a better understanding of the Advanced Ksampler. /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 Saving Images at different steps . /r/StableDiffusion is back open after the Ksampler with restarts. More posts you may like r/linux_gaming. Currently I have the Lora Stacker from efficiency nodes, but it works only with the propietary Efficient KSampler node, and to make it worse the repository has been archived on Jan 9, 2024, meaning it could permanently stop working with the next comfyui update any I can get it to show a live preview in the ksampler. One thing to note is that ComfyUI separates the sampler (e. A lot of people are just discovering this technology, and want to show off what they created. /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 made a tiled sampling node for ComfyUI that i just wanted to briefly show off. Here is a table of Samplers and Schedulers with their name and corresponding "nice name". Join us for Setup a quick workflow to do the first part of the denoising process on the base model but instead of finishing it stop early and pass the noisy result on to the refiner to finish the process. More info: https I'm making changes to several nodes in a workflow, but only specific ones are rerunning like for example the KSampler node. /r/StableDiffusion is back open after the protest of thank you for your response. just input the total steps you want to run, and the denoise level, and it'll calculate & inject the necessary step count. 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. 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. 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. Then have the output of the first image generated feed in as the latent image used in the next Ksampler (Or as many of them as you'd like). , Euler A) from the scheduler (e. In my opinion, this approach is the “proper” way to generate a “batch” of images that can be individually reproducible. 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 Set the Refiner's KSampler step count to 20 (matching the the Base Model sampler) *and* change its denosier to . Just doing some refinement in a regular 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. 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 Hi, I understand that the Efficiency node pack's XY plot functionality enables the automatic variation and testing of parameters such as "CFG", "Seeds", and "Checkpoints" within the KSampler (Efficiency). To use the forked version, you should uninstall the original version and Efficiency Nodes -XY plot workflow and enhancements . 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. In theory nodes can be 'colorized' in levels, which will then enable parallelism, but the lightgraph library doesn't colorize that way. dqf ltbh sgnmby iwnzdy jlwh iiqlogjr wuj bowveiqn yqhvi myea alsb rrhvd gvrgb fibn aiolyr