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#denoising software
kids-worldfun · 4 months
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Optimizing Your Workflow with Denoise AI: Say Goodbye to Noise
The Importance of Denoising in Video Optimization When it comes to video production, noise can be a major issue that affects the overall quality of your content. Whether you’re filming in a busy street or a crowded room, unwanted noise can distract viewers and take away from the message you’re trying to convey. This is where denoising technology comes in to save the day. Denoising in video…
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vlruso · 1 year
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Top 10 AI Video and Image Denoise Software
🚀 Exciting news for photographers and videographers! 📸🎥 Check out this fantastic blog post about the Top 10 AI Video and Image Denoise Software. 🌟 Say goodbye to noisy photos taken in low light and hello to crystal-clear, detailed images! 💯✨ Capturing stunning shots in low-light conditions at high ISOs can be a real challenge. That annoying noise can seriously affect the quality of your images. 😓 But fear not! With the help of AI denoise software, you can effectively reduce noise while still preserving those important fine details. 🤩 In this article, we explore the top 10 AI video and image denoise software options available. 🙌 Don't miss out on this opportunity to enhance your photography and videography skills. Check out the full blog post here: [Link to Blog Post] Happy shooting! 📷✨ 🌐 [Link to blog post:](https://ift.tt/EJVf857) 🐦 Follow us on Twitter: @itinaicom List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom
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galatariel · 11 months
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☆ UPSCALING LOW QUALITY FOOTAGE
what i used: • 2021 macbook pro with m1 chip (390/500gb storage used she's hanging in there) • photoshop 2020 • mpv (for screencaps but this isn't needed!) • handbrake (available for linux, mac and windows here) • video source to gif
what is handbrake? basically its a software that helps you change the format of videos, such as for certain devices or screens, or in the case that we're going to utilise, quality and frame rate!
disclaimer: handbrake is super easy to use and very beginner friendly for this procedure and it can make a video go from 30fps to 60fps however it does not replace the quality of true 4k/blue/master-pro res files. in the gif below, this is the level of detail in a master pro-res file.
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getting started it's easiest first to note the timestamps of the video you want to encode, and keep in mind that unless your computer is incredibly powerful, i wouldn't try to encode an hour worth of footage in one run! my laptop could handle about 30 seconds in one go before she started toasting.
using handbrake: once you've downloaded the software, open the software and it will come up with a pop up window asking you to open the video source (that is presumably saved within your folders) and go ahead and do so!
in the range section, use the drop down button to navigate to seconds and enter your timestamp. the duration on the side will show how long of the footage you're gonna encode is!
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then go down to the save as, and give your footage 'to be snipped' a name. this isn't necessary but useful because if you're planning to say, encode 3 or 4 small parts of footage in one sitting, each encoding instance will overwrite the previous one. so i just call mine 'cut 1', 'cut 2' and so on.
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next go to preset, and there you'll see such a wide variety of options that you can play around with, with differing qualities, frame rates, sound options, and so on. for the sake of this tutorial, i'm using 'superhq 2160p60 4k av1 surround' and i've used the drop down menu to select it! then go ahead and press start! the time taken to complete depends on the duration of footage that you sent to encode! you'll find your encoded video as an .mp4 file in your designated folder (which you can change via browse at the bottom)
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what next? • if you prefer to open footage directly into photoshop (my ps can't handle it), then go for it! • if you screencap as i do, then just use mpv or whatever screencapping program you prefer to make the screencaps and open in ps in your usual manner. • you can use the timestamps to further process the video through vapoursynth to denoise, but i've yet to try that!
the results for this first set of example footage, i used footage from the be the sun concert file, which is almost 2 hours in length and 4gb in file size.
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you can see the difference in the smooth frame rate of the footage, as well as the quality of the sharpening!
and to utilise the bane of gifmaking, a gose episode, notorious for dodgy pixelated frames and less hd quality in 1080p on youtube, i ran it through the same settings!
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these are the exact same files, downloaded using 4k video downloader and with the same sharpening, but see how on the original file, the sharpening looks a bit more harsh and 'outlined' while it seems to sit softer on the encoded 4k version!
so i mainly use handbrake for dvd files, or not-so-hd 1080p youtube videos or videos that seem a bit clunkier but i had never tried them on a tv/film file so take a look below! i used a 1gb (so not very good quality) of a show (as compared to its 4gb files).
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as i said at the start in the disclaimer, handbrake can't replicate true file quality, as you'd expect to see in a proper hd bluray/t*rrent file of a show but there's an interesting difference in the frame rate. personally it's not something i would utilise much there but its all up to individual preference on how someone prefers to have their gifs <3
this is a very basic run-through of how i used handbrake, as i haven't really explored all its features and i use this as a quick process when i'm running through seventeen dvd/dl files but i feel like it would work well on general youtube videos (such as interviews, episodes, behind the scenes) and feel free to send an ask/message for any help/clarification! <33
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aston-axo · 2 months
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Niki Lauda and James Hunt — Friday 18th July 1975 Silverstone - Practice Runs for the Grand Prix
ATV Sports Reporter Gary Newbon interviews championship leader, Niki Lauda from Austria and Britain's James Hunt, about the race and the new car they will soon be driving. In 1975 James Hunt was driving for Hesketh Racing and Lauda was driving for Scuderia Ferrari.
In the race, Niki Lauda would hold fourth place off the start, but soon a heavy shower brought a flurry of tyre changes. A wheel had not been fastened when Niki was released and fell off within 20 meters, resulting in a scramble to reattach it. He stopped again a lap later for it to be tightened properly, and rejoined a lap down.
As the track dried, he showed blistering speed: four seconds a lap faster than the rest, but then came another deluge and the field was decimated by a series of aquaplaning shunts and the race red-flagged. The official results announced shortly afterwards were based on a count-back lap, which meant that Niki was classified eighth despite being third across the line. Ferrari protested, but without result.
James hunt would make it to the final lap without major incident, before retiring along with many other drivers. His final position: fourth, was unaffected.
A miserable race for the both of them, all in all.
[Comparisons between versions and editors notes are below the cut.]
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Clipped and Cropped • Colour Corrected • Removed Colour Cast • Upscaled with Artemis • Denoised • Sharpened and Enhanced • Recovered Original Detail • Added Noise and Film Grain • 60fps Frame Interpolation • Edited Gamma and Exposure • Stabilised • Audio Cleaned • Manual Cleaning of Degraded Film
• While the lower logo is a lost cause, I had a real good go at cleaning up the upper logo. Despite it being easy to remove in James' zoom sections, where it hovered and moved over the banner made the erasure too disruptive and time intensive to clean up in whole.
• I did all the film cleaning manually, therefore it's very likely I missed out on some damage. I got all the major stuff though.
• At the beginning, for god knows what reason, the upscaler has a hissy fit and throws up coloured blocks. Incredibly annoying, but I couldn't find a way to fix it.
• The video is dark at the start due to cloud cover, and it's more noticeable without the colour cast, there's better lighting by the end.
• There's much more to the original video: cars practising at the track, a later interview by Niki in 1977, and a separate one of James the same year. I cut those, so I could focus on this interview, and because the film degradation of the practice runs is noticeably severe. But, if people are interested, I'm very happy to also tidy those.
• I'm here nor there on the cleaned up audio. I wish there was an easy software where I could more manually tune it.
• I snipped off like a second of the end because the degradation got so bad it was easier just to cut it since James had finished talking by that point anyway.
Despite all this, please enjoy.
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chaoskirin · 7 months
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I blocked this guy for spreading misinformation, but I want to address the points they made so people don't buy into this shit.
"Have you really never heard of a denoiser?" Glaze and Nightshade cannot be defeated by denoisers. Please see the paper I link in #2. This point is amazingly easy to debunk, and I'm not sure why people are still championing it. Both programs work by changing what the software "sees." Denoising can blur these artifacts, but it does not fundamentally get rid of them.
"White knighting for amoral techbro apps." This was a very early techbro attack on Glaze to try to convince people it was another way to steal data. As I said in an earlier post, it does use a dataset to enable it to add artifacts to your work. It is essentially using AI against itself, and it is effective. There's a whole peer-reviewed paper on how it works. I've posted it before, but if you missed it, you can read it here: https://arxiv.org/abs/2310.13828 (and unlike Generative AI apps, this paper explains exactly how the technology works.)
"Wasting resources." The point is to make the machines unusable, which ultimately will reduce the stress on our infrastructure. If the datasets no longer work, the use of them decreases. Unfortunately, the inability for people to adequately protect their work has led to massive electricity-wasting farms for generative AI, just like what happened with NFTs and cryptocurrency. If enough people inject unusable data in the the systems, the systems themselves become unusable, and the use decreases.
"My artistic vanity." I'm not a good artist. But my artwork HAS been scraped and used. I don't know why I have to keep saying this to make my anger and pain valid, but a few months back, all my artwork was revenge-scraped and stuffed into Midjourney. The person who did it also stripped my name from it, so I am not even able to HOPE to have it removed. I have nothing left to lose. I want to make those motherfuckers pay.
"The google thing only defeats weak watermarks." This is true. But a "strong" watermark must be completely different on each work you post, and also must cover most of the work. This is easily researched. I don't know about you, but I don't have time to make a new watermark on each piece I post, and I also don't want it to cover most of the artwork. Just so you know, the watermark detector works by looking for the same pattern on multiple works by the same person. If you use the same watermark on each piece, it doesn't matter how strong you think it is. It's removable. If you have the time to do it, then yes, this is effective. But it needs to be complex and different on each piece.
Next, I've seen a couple posts going around today stating that you can't even have an account on Glaze because they're closed.
They're not. But to prevent techbros from making accounts, you have to message the team so they can make sure you aren't using AI in your work. The instructions are here: https://glaze.cs.uchicago.edu/webinvite.html
Nightshade is not available on the web yet, but Glaze is. Nightshade will be soon, and they are planning a combo web app that will both Glaze and Nightshade your work.
In the meantime, if you want someone to Nightshade your work for you, please let me know. I have offered this before, and I will offer it again. Email me at [email protected] with your artwork, and let me know you'd like me to Nightshade it for you. There will always be some artifacts, but I will work with you until you are happy with the result.
Lastly, I know my messages are working because I keep getting people spreading misinformation that these things don't work. Please know that I have done the research, I do have a personal stake in this (because hundreds of my pieces are part of Midjourney now) and I am only posting this because I truly believe this is the way to fight back against plagiarism machines.
I don't know why people are so angry when I post about them. I know people don't all have access, which is why I'm offering my resources to help. I know this is a new technology, which is why I read through the boring scientific paper myself so I can validate the claims.
This is the last post I'll make on the matter. If you want to ask questions, fine, but I don't really have the mental capacity to argue with everyone anymore, and I'm not going to.
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waterpoofs · 2 years
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Your Stable Diffusion Qs answered, part 1
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Several of you have asked questions in the comments and msgs, wanting to generate your own Stable Diffusion AI inventions like these. I don't consider myself any kind of expert on this, I've just been messing around, pressing buttons and seeing what happens. But then, that seems to be what everyone who uses Stable Diffusion has been doing, so I guess I'm probably as qualified as anyone to share how I've done this.
So to start, I've answered the basics on what set up I'm using below. When I get a moment, I'll do another post answering questions about prompts, and then one on models.
Hardware and software
I'm running this on a 5 year old Dell XPS 8930 with a 6GB graphics card. It's just a good consumer PC, not a cutting edge supercomputer. But if all you have is a cheap laptop with no GPU, you should probably look to somebody else for guidance, this method probably won't work for you. I think there are other ways you can do it, but I have no experience with them so can't advise on those.
I installed Automatic1111's Web UI following these instructions. Since I did that, somebody has created an installer that is intended to make all that easier, but since I already did it easily enough the first way, I can't vouch for that option.
Config
The best thing to do is play around with things and see what happens. I've messed around with all the different sliders and options, but found that most of the time changing them from the default doesn't do much to improve the results. The only ones I change from the default are sampling steps, which I typically put in the ~100-120 range, and face restoration, which I usually have on during image generation but not during enlargement.
Workflow
The main secret to getting images that I deem worth posting here has little to do with getting the config right, or even writing a perfect prompt, and everything to do with generating a lot of images and binning piles of garbage, then iterating the few creations that have some promise. To get to an image worth posting I typically:
Prompt it to generate a large number of 512x512 images on a theme.
Delete most of what it creates and pick the best looking one - judged on overall composition and the design of the gear, rather than details at this stage.
Send it to the img2img tab to iterate it, typically telling it to generate half a dozen or more variations with denoising strength usually set in the 0.6-0.9 range, depending on how close it already is to what you wanted. Sometimes refining the prompt keywords at this stage too if something stands out as needing a nudge in the right direction.
Pick the best one and send it to the extras tab to enlarge it. There are lots of enlargers available. I've used 4xValar a lot. I often couple it with lollypop, which creates quite a bold, smooth and vibrant look which works well with shiny gear. But I haven't tried many, so there may be other great enlarger options out there.
Now send the enlarged image to the inpaint tab to improve any areas which have problems, like low res artifacts, bad faces or fabrics that aren't what you wanted.
For step 1, the "Script">"Prompts from file or textbox" function is useful: you can write a variety of different prompts, and create minor variations on prompts to see how different keywords affect the results. Fill the textbox with a list of prompts, set the "Batch count" to anything from 20 to 100, then leave the computer churning them out in the background for you to deal with when you have the time to do the other steps.
For step 5 I select an area of the enlarged image, tick "inpaint at full resolution", and if the selected area is larger than 512x512, try to match the width and height settings to approximately the size of the selection. I typically set denoising strength in the 0.3-0.6 range - setting it higher will have a stronger effect, but can also result in that area looking less like it belongs as part of the image, as the lighting and colour balance can end up being a mismatch. Then I write a prompt that is specific to the selected area and have it generate half a dozen options.
The image at the top of this post, for example, started as one of many dozens of guys in shiny Adidas 3 stripe waterproof sportswear, generated as one big batch, the majority of which went straight in the bin.
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After img2img iterating it with small refinements to the prompt and picking the best out of a couple dozen variations, I inpainted an area including the left arm, shoulder and hood of the jacket, with a low denoising strength and a gear-specific prompt, just to give it a smoother and higher definition appearance than the enlarged low resolution image had (and still has, on the right arm and legs - they catch my eye less, so I didn't bother trying to perfect those). I then did the same for an area around the face and hands, so it would have better texture and detail, clear up a few oddities in the general shape and the hand structure, and give the guy less crudely sculpted facial hair.
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It sounds like a lot of work when now I lay it all out in detail like this, but most of the work is done by the computer in the background: line up a batch of stuff for it to generate/iterate, be patient and leave it to do its thing. Then when you come back to it later, you've just got to pick out the best and do a bit of inpainting once you've got some good images to refine.
At least, that's the workflow I was using for most of these posts - until the most recent 2, filled with the painting/illustration-style creations. Those were even simpler. But I'll get to that in the post on models.
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imiging · 10 months
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Hello and good day imiging team! I'd like to point out that the work of petitmonsieur1 that you reblogged recently is not photography, but an AI-generated image. Thus it can not be categorized as original photography on account of it not involving a photographer, a camera and a subject.
I know you caption your reblogs with "daily original photographs and creations", so I guess it still counts as some form of a creation. Although the rest of your reblogs are actual photography, not what petitmonsieur1 is doing.
You'll notice that their creations are entirely digitally created by taking a closer look. Skin, metal, and cloth appear way too smooth, the background is sepia like from a painting, icons and writings are indecipherable. They've even uploaded videos showing how they mess with the creation process, either by adding skeleton makeup to a person (who is posing exactly the same in both frames) or moving a person's head, covered in a knit wool ski mask, up and down from their scarf like a piston. To me those are clear indicators that their creations are not authentic as the photos, paintings and art you showcase here.
With this I hope you at the very least consider removing petitmonsieur1 from the pool of your following. One can argue whether AI-art is art, but since the focus of your page is on photography, that really doesn't have a place here.
Thank you for receiving my input. Kindest regards!
As we are obviously unable to answer directly to this anonymous expert in AI, our response is outlined below.
Dear anonymous,
You will, undoubtedly, be disappointed to learn of our disavowal of your "expertise" in this particular instance as we wish to inform you that AI was not involved in the creation of this image. As we had reservations about your claim and explanations of same, we deemed it patently obvious that our first step should be to direct ourselves to the creative source. Therefore, we messaged Petitmonsieur in order to determine exactly his process and his medium. His response was clear : "I mainly use photos, old paintings, wallpapers...and I crush the pixels as much as possible to obtain a painting effect. If I used AI, the rendering would be of better definition. In fact, I'm tinkering with Photoshop, and I find that the AI ​​stereotypes the images too much."
Upon viewing this particular photo we were, of course, unaware of the creative process (other than what the tags indicated) but we found it to be interesting and quite striking at first sight which resulted in it being chosen.
Furthermore, one might ask, what exactly defines a true photograph these days especially in the world of digitization? With the advent of digital cameras and advances in photography software (Photoshop, Lightroom, etc.) how many of these photographs, including those that started life as a film negative, use some form or other of "digitization" in the making of the final product?
AI is just another step (granted a large one) in that direction and not really so much different than using a "dehaze" or "clarity" filter in Lightroom, Healing Brush Tool in Photoshop or DeNoise AI, to name but a few of the tools used by a growing number of photographers. Even film can be "manipulated" in the darkroom or made into a digital negative and then reworked on a pc. These are all tools used to enhance the artistic aspects/creation of a great number of photographs which are regularly posted and reblogged on the Tumblr platform. (Our apologies to those of you that shoot raw and only post unedited photographs -- we love them too!)
At Imiging, our shared opinion on AI is that it has the potential for making the unreal appear real and believe it has numerous other risks and drawbacks. We have to say that it truly alarms us if only for no other reason than the obvious geo-political implications when AI is used by unscrupulous individuals or governments for nefarious purposes.
Sincerely,
The Editors of imiging
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renjunniez · 2 years
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Hiii, just gotta say, I LOVED your Wendy gifset and I was wondering how you got them to look that pretty?? They looks soft and detailed and like, real? Hehe I hope you can help me out, idk what I've been doing wrong with mine that are looking like shit so, help me out please
henlo anon!
when i first started gif-making, my gifs weren't the bestest either! it's a process and i think you'll get better at it w practice and trying new things !! <3 i'll throw in a bunch of pointers a lot of CCs gave me when i first started giffing and some of my opinions under the cut!
also this is definitely Not a link to download photoshop 2022 for free that i definitely didn't use as an upgrade two weeks ago
what you'll need to know before going through this long long rant of mine:
basic photoshop giffing skills
knowledge of smart filters and blending options
some patience (to hear my nonsense)
interest in maybe picking up new software
disclaimer: image heavy!
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1. always use videos in their highest quality!
hq videos = hq gifs! i do not recommend using videos below 720p! also if you use photoshop, the number of colours in the gif is limited 268, meaning that sometimes your gifs can lose quality in export, and that could make lower quality videos look worse! (for eg. the video i sourced the wendy set from was 4k that i downloaded from 4kvideodownloader)
here's links to download:
4kvideodownloader
sophistagram (for vlives)
weverse lives download tutorial
twitter video downloader
a smol opinion: i've seen a lot of users use tumblr mobile, and noticed that gifs on tumblr mobile are always a little blurred out? this kind of makes the gifs look less clear </3 so using higher quality videos always helps!
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2. vapoursynth / avisynth / km player!
these are softwares to sharpen and denoise your videos! they're completely optional (i used to gif with photoshop alone for the longest time) but they do make quite a lot of difference!
i highly recommend you to check the tutorials below!
gif-making with vapoursynth tutorial by @wonublr
gif-making with avisynth tutorial by @soonhoonsol
gif-making with km player (and vapoursynth!) tutorial by @woozi
a smol opinion: i've never used km player, so i don't have much to say about it. as for avisynth, it's pretty easy to work with, the only down side is that there are no denoise options. vapoursynth has both and is very user-friendly, but i found the shift from avisynth to vapoursynth slightly confusing!
these are my usual settings for vapoursynth:
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3. gif sizes!
a very big (and maybe bullshit) opinion:
now, tumblr recommends you size your gifs this way:
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(img src)
but it,, doesn't necessarily have to be that way 👁
i really like to fuck around and use whatever size i want for my 268px and my 177px gifs, and the wendy set was no exception! the size of each gif in the set was 400px X 580px!! this, in my opinion, makes it easier to view them (a lot more clear, you could say) :o
as for my 540px gifs, they remain the same size!
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4. sharpening on photoshop!
i would always recommend you to sharpen your gifs again on photoshop. tumblr LOVES reducing gif quality, so i resharpen to give my gifs some 'depth'
this is how i usually sharpen my gifs:
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(the gif above was sharpened and denoised on vs w the settings mentioned above!)
step 01:
after you're done converting your gif into a smart object on photoshop, we'll add a layer of smart sharpen. these are my settings:
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step 02: more... smart sharpen :eye: :
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step 03: high pass (optional tbh)
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imp: don't forget to change the blending to soft light / overlay (i prefer the former)
now the gif looks like this:
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something to note: i like switching up my opacity levels on these settings, and usually only ever change the radius and strength of the sharpening!
here's a few more sharpening tutorials:
sharpening tutorial by @/woozi
tutorial by @/hellboys
tutorial by @yutaslaugh
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5. colouring!
colouring plays a huge role in making your gifs look sharper and cleaner! this is your playground, and this is the area you have the most freedom to change, and zuzsh up things the way you like them!
generally, i like to draw the attention to the person i'm giffing, so i make sure to set the contrasts right! i also extremely like making the colours cooler, so that it seems more natural!
the layers i use most are:
curves (on auto)
more cuves (using the eyedroppers to set my black, grey and white points)
selective colour (to change contrasts, to recolour skin)
colour balance (to balance my shadows and highlights)
levels (for brightness, contrast and depth!)
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i'm not extremely good at colouring either, so here are some more in depth colouring tutorials (i'm terrible at explaining i'm so sorry sksjkd):
colouring tutorial by @/jihan
south-east asian celeb colouring tutorial by @/blueshelp
and here's some pre-made psd packs!:
psd pack by @/kpopco
psd pack by @shuatonin
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psd pack by @coupsnim
psd pack by @/wonublr
closing ments:
if you've made it this far, thank you! i'm not extremely great at explaining things, but i hope you found this 'tutorial' useful! (extremely confused what this is tbh it feels like i'm rambling sgkfjsh)
here's a few more tutorials (kinda unrelated) that i found useful and fun!:
tutorial to fix grainy gifs
tutorial to remove panning from gifs
animated text tutorial
gif + more effects tutorial
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straykidsgallery · 2 months
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hi!!!
can i ask you how you usually make your gifs? ^^
Hii anon .. awww of course i usually use vapoursynth software and photoshop to make gifs, and i start by dragging the orginal video into vapoursynth script in order to trim the video and enhance its quality, using vapoursynth denoise and sharpening filters, then, i select ' encode script ' to export it into a gif file, and once the encoding is finished i import the output file into photoshop.
And then i just start editing the gif by using photoshop adjustment layers, which include:
Brightness/contrast: for adjusting highlights and shadows
Vibrance: for modifying the level of saturation of all colors
Levels: for modifying highlights and shadows
Curves: for more precise control of highlights and shadows
Hue/saturation: for adjusting lightness and saturation of all colors
Color balance: for adjusting a particular mixture of colors
Selective color: for modifying a particular color without altering the other colors
ohh anon i just hope i’ve been helpful to you and i’m so thankful to you for passing by 💐 i hope you’re having a wonderful day
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devpalmer · 10 months
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day one as an ex-maya blender user, things i am extremely pleased by:
-builtin alt layouts for different workflows
-construction history is not a thing unless you intentionally create a nondestructive modifier/geometry node
-default builtin material is actually physically based and mirrors modern workflows instead of a shading model that is 30 years old
-shader graph doesn't crash if you look at it funny
-cycles and eevee are both built in
-cycles and eevee SHARE SHADING NODES despite being wildly different types of renderers and your shaders can translate between pipelines
-cycles' denoiser
-geometry nodes bc i <3 proceduralism
-you can just directly render your sequences as video with the codec you want without going to another software to comp/convert it (why is this not a basic feature in so many softwares)
-the whole thing is fucking free????????????
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cinemu · 6 months
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hello! beginner at gifmaking here.
i was wondering if you use any specific program/setting for better frame capturing, or if you do it manually, screen capturing frame by frame.
i’m asking this bc i was using potplayer’s consecutive capturing in order to do my gifs, but only after finishing with the speed i realized it looked weird bc it jumped frames. i’m also asking u specifically bc i admire yall’s work at yingtan lol you guys are the best
hi anon! i've been giffing properly since like 2019 so i've gone through various methods actually!
currently i use mpv and use consecutive capturing which basically does it frame by frame! i think the problem with jumping frames might be bcs of the software! with mpv i can't use the latest version bcs that jumps frames so i'm on mpv 0.36.0 and that works fine for me!
a method i previously used was using vlc to record the screen and importing the video in ps using video frames to layers! i found the quality of this wasn't the best and hence moved away from this.
i also sometimes use something called vapoursynth to process a video and crop it which i got into using bcs of kpop gifs! it's really helpful for videos that are really low quality because of its denoising effects!
i would recommend the mpv method as it's what i'm using now and i'm seeing really good results. these are my screencap settings in my mpv config file for reference:
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if you need any help setting mpv up let me know!
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tech-tar-review · 7 months
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The Complete Beginner's Guide to Visionize AI
Visionize AI - Introduction
Welcome to my Visionize AI Review post. Where innovation meets intelligence, at Visionize AI, we are dedicated to pushing the boundaries of what's possible with artificial intelligence technology. Our mission is to empower businesses and organizations of all sizes to harness the transformative power of AI to drive growth, efficiency, and success.
With a team of experts at the forefront of AI research and development, Visionize AI is committed to delivering cutting-edge solutions that address our client's unique challenges and opportunities. Whether you're looking to streamline operations, optimize processes, or unlock new insights from your data, Visionize AI provides the expertise and technology needed to achieve your goals.
From machine learning algorithms to natural language processing systems, our comprehensive suite of AI solutions is designed to meet the diverse needs of modern businesses. Join us on a journey of innovation and discovery with Visionize AI.
Visionize AI – Overview
Creator: Bizomart
Product: Visionize AI
The official page: >>> Click here to access.
Niche: Software
Bonus: Yes, Huge Bonus
Guarantee: 30-day money-back guarantee!
                                                            
What is Visionize AI?
Visionize AI is a pioneering technology company focused on harnessing the power of artificial intelligence to drive innovation and transformation. At Visionize AI, we develop cutting-edge AI solutions tailored to the specific needs of businesses across various industries. Our expertise lies in creating intelligent systems that automate processes, analyze data, and generate valuable insights to help organizations make informed decisions and achieve their goals.
Through advanced machine learning algorithms, natural language processing techniques, and computer vision capabilities, Visionize AI enables businesses to unlock new opportunities, streamline operations, and stay ahead of the competition in today's rapidly evolving digital landscape. Whether it's optimizing workflows, enhancing customer experiences, or predicting market trends, Visionize AI is dedicated to delivering high-impact AI solutions that drive tangible results and propel businesses toward success in the age of artificial intelligence.
  How Does Visionize AI Work?
Leveraging Visionize AI is a seamless endeavor, characterized by a user-friendly interface where individuals can simply log in, input keywords or utilize voice commands, and witness the rapid generation of desired visual content. This intuitive workflow ensures swift and efficient production of captivating visuals, requiring minimal effort on the part of the user.
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Benefits Of Using Visionize AI
Streamlines the process of visual content creation for users of all skill levels
 Facilitates the rapid generation of high-quality visuals across a multitude of formats
Provides a seamless avenue for monetizing generated visuals through a dedicated marketplace
Diminishes the reliance on costly design tools and professional services
Empower individuals and businesses to embrace the AI-driven future of visual content creation.
Visionize AI Review - Key Features
AI-powered Graphics and Image Generation
Video Generation without the need for recording or editing
Access to a Marketplace boasting 10,000,000 active buyers
Inpainting, Colorization, and Denoising capabilities for images
Recognition, Synthesis, and Noise Removal functionalities
Mobile Compatibility, facilitating on-the-go visual creation
Comprehensive Training Videos and Round-the-Clock Support
Visionize AI Review- Pros and Cons
Pros:
The comprehensive suite of visual content creation features
One-time fee structure with no monthly costs, offering excellent value
Free commercial license, enabling users to sell their creations
Mobile compatibility for convenient access across various devices
Streamlined workflow catering to both novices and seasoned professionals
Cons:
Limited availability of licenses due to server capacity constraints
Potential future increase in price to a monthly subscription model
But That's Not All
In addition, we have several bonuses for those who want to take action today and start profiting from this opportunity.
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1. Bonus: Exclusive Special Training (Valued at $997)
Enhance your skills with our exclusive Special Training program, meticulously crafted to complement VisionizeAi. Uncover advanced techniques, deepen your knowledge, and unlock the full potential of state-of-the-art artificial intelligence. Empower your creative vision today.
2. Bonus: 200+ Mascot Cartoon Characters (Valued at $247)
Introducing 200 vibrant mascot cartoon characters by VisionizeAi, each embodying a unique aspect of innovation and creativity. From tech-savvy bots to imaginative thinkers, these characters inject charm and personality into the realm of artificial intelligence.
3. Bonus: Infographic Blackbook (Valued at $367)
Unlock the secrets of crafting visually compelling infographics with the Infographic Blackbook, perfectly complemented by VisionizeAi's cutting-edge automated design tools. Together, they empower users to effortlessly create engaging visual narratives with precision and flair.
4. Bonus: Video Marketing Graphics Pack (Valued at $327)
Enhance your video marketing endeavors with our Graphics Pack, meticulously curated to complement VisionizeAi. Featuring stunning visual elements, dynamic animations, and customizable templates, effortlessly elevate your videos and captivate your audience like never before.
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Why Recommended?
Recommended for its cutting-edge AI solutions, Visionize AI stands out for its commitment to innovation and excellence. With a track record of delivering tangible results, Visionize AI empowers businesses to thrive in today's competitive landscape.
 Its advanced machine learning algorithms and natural language processing capabilities enable organizations to streamline operations, optimize processes, and uncover valuable insights from data. Backed by a team of AI experts, Visionize AI offers tailored solutions that drive measurable impact and propel businesses toward success. 
Choose Visionize AI for unparalleled expertise and transformative AI solutions that drive growth and innovation.
Money Back Guarantee - Risk-Free
Look, VisionizeAi is not one of those “trash” or untested apps. We know what it’s capable of…However, in the unlikely event that you fail to use VisionizeAi for ANY REASON. We insist that you send us an email…It is simple if you don’t make money. We don’t want your money…We make more than enough with VisionizeAi. And no need to keep your money if you’re not gonna use it.
Not just that…We will send you a bundle of premium software as a gift for wasting your time. Worst case scenario, you get VisionizeAi and don’t make any money you will still get an extra bundle of premium software for trying it out.
Final opinion: 
In conclusion, Visionize AI emerges as a leader in the realm of artificial intelligence, offering unparalleled expertise and transformative solutions. With a commitment to innovation and excellence, Visionize AI empowers businesses to thrive in today's dynamic environment. 
Through advanced machine learning algorithms and natural language processing capabilities, Visionize AI enables organizations to streamline operations, optimize processes, and unlock valuable insights from data. Backed by a dedicated team of AI experts, Visionize AI delivers tangible results and drives measurable impact.
 Overall, Visionize AI stands as a trusted partner for businesses seeking to harness the full potential of AI to achieve their goals and propel growth.
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FAQ
What is Visionize Ai?
Vision AI is a peculiar sports-changing model crafted by complex algorithms and AI technology. It aims to just do that (don’t use double words). Specifically, its objective is to take the world’s imagery design to another next level. It does this by the way of using simple automatic techniques and additional design alternatives.
How does Visionize Ai differ from other design tools like Canva?
Visionize AI became quickly famous as a tool that can simplify the design usually performed by the industry’s front runner. Therefore, it is referred to as a Canva killer. It utilizes modern AI-driven models that offer personalized design suggestions, templates, and layouts. Also, it supplies libraries of inspiration and designs.
How does Visionize AI work?
The Visionize AI understands data in large volumes and skips the job of humans for many design work. It will offer advice and recommendations specific to each project, as well as different templates and layouts that have a personalized touch. Plugging the AI into the development process dramatically speeds up the workflow of design and gives a considerable library of inspirations and design objects.
Who can benefit from using Visionize AI?
Our solution focuses on meeting two major groups’ needs, those who are professional at the same time and beginners. Its easy-to-use interface can be mastered by all levels of users and can even be managed by drag and drop. Professionals with design skills are going to be flattered by the ability to use AI’s advanced automation abilities to save time and the creative work left off by the newcomers would only be their costly templates and design inspirations.
What sets Visionize Ai apart from other AI models?
It is indeed true that Visionise Ai is the “Daddy of all AI Models”. Advancements in Modern Artificial Intelligence (AI) technology will ensure Visionise is ahead of other design solution providers. Those powerful si eleenes have API that allows user customization, they fo seek to remain cutting edge in the designer sector simply because they are now superior among their peers.
What are the advantages of using Visionize AI?
The Visionize Ai technological solutions offer several benefits over the improvisations. First, its automation characteristics save time for designers leaving them to rationally work on their more strategic endeavors. Then, you use this AI base with its suggestions and templates to enable you to add more creative ideas and this inspires you. Finally, Visionize Ai’s (this company’s) top technology makes the most recent design trends and the most advanced features available as well as up-to-date.
How can Visionize Ai unlock my design potential?
Whether a seasoned expert in graphic design or a toddler, this tool frees your creativity and enables you to innovate. In line with its user-friendly interface, the strong AI components empower experiments, experiments, and artistic visualization using advanced models making the audience involved and intrigued.
Is Visionize Ai suitable for all types of graphic design projects?
Visionize Ai does all of the graphic design projects that are mentioned here. Its collection of templates as well as design elements gives many options to users who can modify them to suit their design needs, as they are versatile and can work for a range of designs.
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redvelvetcult · 10 months
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May I ask what software you use to make your gifs? ( with that quality etc
oh my, of course! i use vapoursynth and ad*be photoshop 2022! i do the sharpening etc on vapoursynth and i just colour the gifs on photoshop. to be fair like 80% of the content i gif is already from high quality videos so i don't think i do much.
also, my vapoursynth settings are usually like this BUT a lot of times i skip denoise filters altogether and play around with finesharp.
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mecachrome · 1 year
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hello, I love ur mcl gifsets!!! they're always so bright and colorful you'd never be able to tell how potato quality the actual source video is 😭😭 do u have any tips for a newbie gifmaker?
ah thank you anon that is so kind of you!!! i'm not sure how helpful this reply will be but i can do my best to quickly summarize my process :)
source quality definitely makes a huge difference because sometimes there's not much you can do and i accept that i'm about to make a fugly gif... but when i'm screenrecording f1tv i just set the quality to the highest possible and pray for the best 😭
idk what software you use for gifs but i use vapoursynth and it makes my life a lot easier! i actually do bm3d instead of knlm for denoise because i used to always get errors with the latter and gave up but i think most people use that 😭 either way you can just play around with the numbers until you get what you like and then i usually have finesharp set to 0.5-0.7 :) plus sometimes if i feel like the sharpening isn't right i'll duplicate in ps and sharpen again just a little bit (smart sharpen at like 50-100% 0.3px and then lower the opacity as well)
after that it's just a matter of coloring so i'll put thoughts under the cut to not make this the longest post ever LOL
i think everyone has their own unique coloring process but i mainly use brightness+contrast and curves at the start to set my base because usually i find that the source isn't bright enough, of course this is all very intuitive but if i feel like the ~middle values~ of the gif need to be lightened then i'll fix that with curves and it'll help even out the colors a bit. i'm sure other people can give you better technical tips but my logic is basically that Fewer Colors -> Better Quality since it gives photoshop less to accommodate, so a big thing for me is introducing enough contrast by making the blacks/dark values dark enough so that you don't get a lot of greyish looking values when you export your gif T__T
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afterward i usually just do a lot of selective color, some color balance, and some vibrance/saturation! i don't really touch exposure usually because i like the lighter values to be more ~balanced~, so i don't think you need to go wild with your colors but with selective color i usually up the blacks by like 5-15, and then just as a personal preference i like when my whites have less of a yellow tint and my reds are brighter so i'll remove some cyan from there as well. but this changes every time i color so it's really whatever feels right to you!
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sorry for this very long reply but i also almost always export with selective diffusion because it works best for me, although i know some people have very fancy gifmaking processes and can make beautiful noise gifs but i've never quite figured that out T__T my process is pretty simple but i just do what works for me! and i try not to Overcolor when i can... here's an example where i do my best to maintain the skin tone as much as possible with just a bit of brightness and vibrance introduced:
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alsooo for mclaren gifs specifically i find that i often need to adjust the yellows in selective color and bring back some magenta because curves/brightness will turn the mclaren orange into a really bright yellow color so i need to rebalance it. but otherwise that's about it!!! i have nooo clue whether this will help at all but best of luck with your giffing adventures and if you have any other questions feel free to lmk :D <3
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so I absolutely love ur podcasts, do you have any advice on making tjem? in terms of recording and editing and stuff?
My first piece of advice would be- don’t worry about equipment! You don’t need a fancy mic or a sound booth to make a podcast. A cheap mic, or even just your phone, is enough.
In terms of editing, softwares like Audacity or Bandlab are going to be your best friend. Denoising and putting a sound gate over your audio, no matter how crappy it may be, works wonders. Get creative with soundscaping, too! Play around with the direction of the sound (some softwares have a little dial you can turn to make the sound come more from the left or the right). You can use a free sfx site for your sounds (I use Pixabay) or you can always make your own. If you have any other questions, don’t hesitate! And thanks for listening to our silly little podcasts- it seriously means the world.
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komca · 2 years
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Hellaur
I wanted to ask (if that's okay) what kind of device you use for editing your gifs? Do you use a laptop or something else?
Hope you have a great day!
Haiiii !
It's always ok to ask dw :)
I gif on laptop only, windows. It's less the device and more the softwares that are important tho.
Each gifmaker has their preferred combination of softwares and editing process. Gifmaking is all about trial and error 🤓
Here's mine :
4kdownloader / JDownloader / ☠️ → i mostly gif mvs, fancams and other ytb content so for hq downloads these are my go-tos.
mpv player (installation tutorial) → video player, i use it to take note of timestamps and choose scenes/shots.
Vapoursynth → cropping + screencapping or clipping (+ denoising if necessary)
Photoshop cc 2020 (or cs6) aka where the real magic happens → sharpening + color correction + colouring + typoraphy/layouts/effects.
tumblr mobile app → to check layout and colouring accross devices 🤡
My editing/colouring style is pretty basic imo, but I do love colourful sets so that’s what I spend the most time on :))
I know you only asked about what I use but
Here are some links to comprehensive masterposts that are super helpful for beginners (or if you just want to know how it works really) : 1 | 2 | 3
And if you have further questions you can join the @pscentral server, there's always someone who might be able to help :))
Thank you for the question, Have a great day as well <33
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