STOP Paying for AI Upscaling - This FREE Tool is BETTER [ComfyUI Workflow + Tutorial]

[00:00] You can now upscale your footage locally

[00:02] to HD, 2K, or even 4K resolution. Our

[00:05] workflow will break down your video into

[00:07] smaller segments and upscale them tile

[00:09] by tile, making it easier for your

[00:11] computer to handle. It uses generative

[00:13] upscaling, meaning it will actually

[00:15] generate new information into your

[00:17] video, making even pixelated footage

[00:19] like this usable.

[00:22] We built this workflow to switch over

[00:24] from subscriptionbased paid tools, which

[00:26] this workflow also outperforms in many

[00:28] cases. and now we're giving it to you.

[00:30] So, here's how you can upscale your

[00:31] footage free and locally.

[00:37] This workflow is based on the one 2.2

[00:39] video model that lets you generate 720p

[00:41] videos for a maximum of 81 frames, which

[00:44] is by far not enough resolution or time.

[00:46] So, to fix this, we built a custom

[00:48] workflow for Comf UI, a free nodebased

[00:51] interface for AI models. And to install

[00:53] it, you can just follow the guide on our

[00:55] website links below. Once you have it

[00:57] installed, you just need to download the

[00:58] JSON file and drag and drop it into the

[01:01] Comfy UI interface. You'll need to

[01:03] install these missing custom nodes. Do

[01:06] that by going to the Confui manager,

[01:08] install missing custom nodes, select all

[01:10] of them, and click install. Once it's

[01:13] done, restart Confui and the full

[01:15] workflow is here. Now, we need to

[01:16] download the actual models for this

[01:18] workflow to work. And you can find all

[01:20] of them to the left here in these yellow

[01:23] notes. First, we need to decide which

[01:24] kind of base model we want to use for

[01:26] this workflow. If you have a good GPU

[01:28] with like 24 GB of VRAM or more, you can

[01:31] use this FP8 version of the model, which

[01:33] will be just a tiny bit faster. To use

[01:35] it, you need to download it from this

[01:37] link and put it inside of CompuI models,

[01:40] diffusion models. Then load it here.

[01:42] Connect this model to this node right

[01:45] here. But in most cases, I recommend

[01:47] using the GGUF version of this model.

[01:49] You can find all of the GGF models right

[01:52] here. GGF is basically a way to compress

[01:54] model size so that it can run on GPUs

[01:57] with lower VRAM. This will cost you some

[01:59] quality, but usually it's not that bad.

[02:01] You can ignore all these high- noise

[02:03] models here. We just need one low-noise

[02:06] version. Check how much VRAM your GPU

[02:08] has, and then you select one of these

[02:10] versions that comfortably fits onto your

[02:12] GPU. If you only have 12 GB of VRAM,

[02:14] check out the Q5 versions. But I'm going

[02:17] to use the Q8 version. Just download

[02:20] that and put it in confusi models unit.

[02:23] Make sure it's selected right here.

[02:25] Next, we're going to use the light x2

[02:27] vora which allows us to run this

[02:29] workflow at a lower step count,

[02:31] increasing performance by so much. You

[02:34] just need to download the low-noise

[02:35] Laura. Download that, put it inside of

[02:37] Confui models and Loras, refresh, and

[02:40] load it right here. The next two Las

[02:42] here are completely optional, but if

[02:44] you're upscaling a lot of realistic

[02:46] footage, I recommend you get at least

[02:48] this one right here, the stock

[02:50] photography. What this one does is

[02:52] basically it just pushes the style

[02:54] towards more realistic video. Next, you

[02:57] need the clip model. You can get that

[02:58] right here, the VAE. Put it in VA and

[03:01] load it here. And next, we need an

[03:02] upscaling model. You can use any

[03:04] upscaling model here that you can

[03:06] install via the CompuI manager. I

[03:08] recommend really going with this one. So

[03:10] to install it, go to manager, model

[03:12] manager, search for X2, then download it

[03:16] right here. I already have it installed.

[03:18] That's all you need to do to set up this

[03:20] workflow. If you want to skip all these

[03:21] installation steps, or maybe you don't

[03:23] have the most powerful computer, you can

[03:25] also run this workflow on RunPod. Runpot

[03:28] is a cloud GPU platform that we know a

[03:30] lot of you guys use. So we built this

[03:32] template for you that just starts up the

[03:34] workflow with everything installed for

[03:36] you. You just need to follow the link in

[03:38] the description. Set up your account on

[03:39] Runport, add some credits to rent a GPU.

[03:42] I usually run this on a 5090, which

[03:44] costs around 89 cents an hour. Now,

[03:47] let's upscale a video. The cool thing

[03:48] about this workflow is that we made it

[03:50] as plugandplay as possible. There is

[03:52] actually a lot of stuff happening in

[03:54] these groups here in the background, in

[03:56] these subgraphs that you never have to

[03:57] check out or open. There's a bunch of

[03:59] math happening here, but you don't need

[04:01] to care about that at all. You can just

[04:03] load the workflow and choose a video

[04:05] right here. Let's take for example this

[04:07] here. This should be a very good

[04:09] challenge. You can see the quality is

[04:11] just horrible and we're just trying to

[04:12] be able to use it. Next, you can set the

[04:14] frame load cap and this should

[04:16] theoretically work. You can upscale

[04:18] videos with any length, but this is

[04:19] really intense. So, I'm just going to

[04:21] cap that at 81 frames. Next, you can

[04:24] come down here and this is where you set

[04:25] up the whole workflow. Put your final

[04:27] output resolution. And I'm just sticking

[04:29] with 2K here. I feel like 2K is a very

[04:32] good starting point where it adds a lot

[04:34] of detail, but it also doesn't take too

[04:36] long. And then you can choose if you

[04:38] want to enable this here for higher

[04:40] quality. I would say this adds about

[04:41] like maybe 30% of quality, but the

[04:44] problem is it takes like nearly twice as

[04:46] long. So I usually do this for smaller

[04:48] upscaling sizes like this one right

[04:50] here, 2K or HD. But when I go to 4K, it

[04:53] really is not worth the time. So I

[04:55] usually switch that off for 4K video. So

[04:58] here we have this creativity slider

[05:00] which just tells the workflow how much

[05:01] it can change in the image. And I

[05:03] usually start pretty low, something like

[05:05] this right here. Finally, these are the

[05:07] iterations that the workflow will

[05:08] automatically create. So if you have a

[05:10] video that's longer than 81 frames, it

[05:13] will create multiple 81 frame batches

[05:16] and then blend them together so you

[05:18] don't realize that there are any seams.

[05:20] For me, it's 81 frames. Don't go above

[05:23] that, but you can go below that if you

[05:25] don't have the best GPU. 41 frames is

[05:27] also pretty good. And next are the

[05:29] overlap frames. So, how many frames does

[05:31] this workflow have to blend these

[05:33] iterations together so you don't notice

[05:35] that there are any seams? We realized if

[05:37] you want to upscale really long videos

[05:39] to like 4K resolution, in the end, it

[05:42] can actually crash compi when it's

[05:44] stitching everything together. So, if

[05:46] you activate this setting right here,

[05:47] you always have all the images that it

[05:49] already upscaled as a fallback. So you

[05:51] can import them into After Effects or

[05:53] your video editing software of choice

[05:55] and then just stitch the video together

[05:56] there. So now we can just click run and

[05:58] as you can see it will automatically

[06:00] create a very detailed prompt for this

[06:02] video. If it's not perfect or you want

[06:04] to add more detail, you can come up here

[06:06] and manually input something here. You

[06:09] can also input a negative prompt, but

[06:11] this is usually enough. So all I need to

[06:13] do now is wait for this workflow to

[06:15] finish. Now, while this is running, this

[06:16] is a good time to mention that this

[06:18] workflow and video are sponsored by our

[06:20] amazing Patreon community. If you want

[06:22] access to exclusive example files,

[06:24] advanced versions, and our amazing

[06:25] Discord community, consider supporting

[06:27] us on Patreon. Your support makes

[06:30] creating these workflows and sharing

[06:31] them with you all for free possible. And

[06:33] it also makes it possible that we don't

[06:35] have to rely on sponsors in every single

[06:37] video, which is just amazing. Thank you

[06:38] so much for that. 10 minutes later and

[06:41] the video is done. So, let's look at the

[06:43] result. And you can see this was the

[06:45] original video and this is after. Before

[06:49] after. You can see how much detail it

[06:52] was able to generate, especially in the

[06:54] hair here. But it's still not perfect.

[06:56] We could improve this result even

[06:58] further if we allowed a bit more

[07:00] creativity. You can see the hair is now

[07:03] more detailed and the overall quality is

[07:06] higher. If you use a high creativity

[07:08] value, it can be more likely that you

[07:09] see these tiles here. And sometimes you

[07:11] just have to experiment what works best.

[07:13] But here, for example, I tried the

[07:14] highest possible value and I did not

[07:16] have the problem with the tiles at all.

[07:18] We also upscaled the same video using

[07:20] different upscaling models by Topaz.

[07:21] Even the 4K output from Topaz doesn't

[07:23] compare to the better 2K output from our

[07:26] workflow. Now, let's talk about the

[07:28] creativity value. The higher you set the

[07:30] value, the more it will modify your

[07:32] video content, and this might change

[07:33] your subject a bit too much. So, if you

[07:35] need a super precise upscale that stays

[07:37] faithful to every detail in your

[07:39] footage, keep that creativity low. The

[07:41] trade-off is that you'll get less

[07:43] dramatic quality improvements. Overall,

[07:45] we also tested this against Flash VSSR,

[07:47] another local upscaler. There is a

[07:49] version for Chromei, but it does not

[07:51] produce the best results yet. We

[07:53] recommend installing it via Pinocchio.

[07:55] Pinocchio is this one-click installer

[07:57] for AI tools, and it makes the

[07:58] installation super easy. Flashvsr is

[08:01] great at precision. It sticks very

[08:03] closely to your source material.

[08:05] However, it really struggles with

[08:07] extremely lowquality videos. But when we

[08:09] used 720p footage as input, it actually

[08:11] produced sharper results than our

[08:13] workflow could produce yet. But as you

[08:15] can see in this shot, for example,

[08:16] especially with the grass, it's also not

[08:18] perfect. So when should you use our

[08:20] workflow? It shines in situations where

[08:22] perfect accuracy isn't your top

[08:24] priority. For example, when you're

[08:26] upscaling AI generated videos or videos

[08:28] with very poor quality. In these

[08:30] scenarios, our workflow outperforms

[08:32] FlashVSR because it can actually

[08:34] generate new plausible detail instead of

[08:36] just trying to preserve what's barely

[08:38] there. I hope you enjoyed this video and

[08:40] found these workflows useful. If you

[08:42] create something with it, feel free to

[08:43] send it to me or tag me in your work. I

[08:45] always love to see what you come up

[08:47] with. Thanks for watching and thank you

[08:48] to our lovely Patreon supporters for

[08:50] making these videos possible. See you

[08:52] next time.

[09:07] Hey.