Stable diffusion highres fix settings reddit. I'm not loving the new hires fix.

Stable diffusion highres fix settings reddit 🤓 You can select to simultaneously upscale if it's not selected already (and use the upscaler of your choice) in img2img from settings. I'm using the Automatic1111 for the web gui and to integrate with Silly Tavern. Yep, exactly! Left at 0 it does the same as your default sampling, which is how it's worked for a while. I ALWAYS use high res fix before img2img upscale. 18 votes, 29 comments. Most stable diffusion models were trained with 512x512 images. This may be because of the settings used in the extension (they are default), or my limited testing. What HighRes fix does is that it allows you to upscale that 512x512 latent noise, and this allows the larger image to retain the coherence of the image you would get if you were staying at that There is also a denoise option in highres fix, and during the upscale, it can significantly change the picture. Most of the time I run the initial hires fix at 1080p or a resolution/ratio that contains approximately 2m pixels. 5, sometimes 2. 3 or less depending on a bunch of factors) and a non-latent upscaler like SwinIR to a slightly higher resolution for inpainting. fix I usually go with DMP++2M Karras at 30 steps. com/posts/329193. Even with same seed and all settings the same, with high res fix activated the result is completly different than without it. For example, complicated images like say black and white drawing of a mansion get messed up at lower denoising than simple things like a face. This is not an issue with method two and you can crank up the steps for better quality. fix got some change. That way you can run the same generation again with hires fix and a low denoise (like 0. I'm trying to understand what the hi-res fix does, and from the settings, my intuition tells me it's just doing img2img with the set resolution and denosing, is that correct? If that's the case, can I do batch hi-res fix on images I've already The new hires fix is better than older, but need to experimenting with it to get best result. Adjust the widh and high to double dimension. To do this What highres fix does it first generates an image then latent upscales it like using img2img. But if you're using this, then I'm sure you're a perfectionist and will be fine-tuning it afterwards with a face detailer pipeline, anyways. Still, I'd like to hear what hires fix settings you guys use for reliable, realistic /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. safetensors in the drop down when generating. Found a pretty good way to get good pics without highres fix : you generate normal 512 img, send it to img2img. Long story short, the appropriate denoising level depends on upscaling amount and subject matter. Upscale latent space image when doing hires. Correct. First method (hires fix x3) has to maintain the same steps setting or risk the image changing from the original. . It, surprisingly, helps to fix highres. After a bit of testing I can push the hires fix to around 6m pixels before running out of memory. So what do I do when I use high. fix: a simple way to upscale your images while they’re being generated. . If you do that and use the same settings you would use for highres (denoising value, new resolution, sampling method, steps, seed) you For Stable Diffusion 1. fix for that, it just changes too much sometimes. Reply reply IMHO the best use case for Latent upscalers is in highres fix, with a reasonable upscale (1. 5 is trained on 512x512 images (while v2 is also trained on 768x768) so it can be difficult for it to output images with a much higher resolution than that. I used the GhostMix model/checkpoint for this one. Hi-Res fix I can't seem to get decent settings. Hit generate. 20 steps, 1920x1080, default extension settings hires fix: 1m 02s. Use it at 0. 5 or x2 (or upscale to 768x768 or 1024x1024) you'll probably get what Ive found 2 ways that people recommended. That;ll get you 1024 x 1024 -- you can englarge that more in Extras, later, if you like. It's a huge memory hog and takes CONSIDERABLY longer to render anything. My gens are coming out very blurry (especially in 768 models) but even 1. If your denoise STr is high enough (but not higher than . Would that be enough for a clear, highly detailed output? The speed isn't that big of an issue since I only use hires fix after the initial batch generation. And stick with 2x max for hires. I benchmarked times to render 1280x720 in the version before and after the January update and before the update it took ~30 seconds /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. One recommendation I saw a long time ago was to use a tile width that matched the width of the upscaled output. Lower = Enter HiRes. This is usually enough but occasionally I will run the hires fix up to 1440p/4m pixels if I need to resolve extra detail. Definitely much better images in every shape & fashion with exception to the expressions. 5 model you can turn on high res fix. 5 de-noising strength. Now we can choose the resolution of the first pass, and select how much the image will change with respect to the original (a value of 0 in Denoising strength simply will rescale the picture and will loose quality, values close to 1 will create many changes in the picture and the result will be close as if the Highres. 5 models, stick with 512 x512 or smaller for the initial generation. One way the eyes can be fixed in the initial generation is during your hires fix process, from 512x512 at 2x let’s say. Tick it, put in 512*512 resolution (or something close) on the sliders and select how much you want to upscale the image. So as I suspected it turns out that Hi Res fix is using 2 step process where it renders Here is the base image we will be upscaling with Hi-Res fix. PcBuildHelp is a subreddit community meant to help any new Pc Builder as well as help anyone in troubleshooting their PC building related problems. 25, 1. The technology is advancing very very fast, so be careful to watch something not older than, let's say, 2 months. Full prompt and settings can be found in my image post here: https://civitai. 45 denoise and 10 steps. /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. After that repeat again. 2 - 0. I use the defaults and a 1024x1024 tile. for SD 1. 20 steps (w/ 10 step for hires fix), 800x448 -> 1920x1080 "deep shrink" seems to produce higher quality pixels, but it makes incoherent backgrounds compared to hirex fix. 5 denoise works very nice. I'm not loving the new hires fix. So if you set a resolution higher than that, weird things can happen - multiple heads are the most common. 4 when using highres-fix. I made a detailed video about hires fix. Use the same seed as your base img. fix option wasn't active). 5/1. 5. 3 denoise and it barely changes anything but fixing details like faces etc. one is poor man outpainting, which works to some degree but at somepoint of outpainting it starts to create the same image Don't use highres fix until you're getting good pictures, then, when you know what you are doing, you can mess with options that has the potential to completely ruin everything Reply reply nazgut I just started using stable diffusion so my knowledge is limited. fix. fix LDSR processing steps. It seemed like a smaller tile would add more detail, and a larger tile would add less. fix". Use One thing to explore is the steps in high. Instead of first generating an image and then upscaling it through A1111’s img2img or extras options, you can Stable Diffusion v1. Simply put gets your main image then uses img2img at a higher res. (significantly lowers deformities but if you go any bigger then 1280 i think its not stable with the fix either ) Depending on your resolution you might want to input "First pass width and hight" For 1024 x 1024 i use firstpass 640x640 for example. Choose the vae fix option instead of normal sdxl_vae. images. There's a checkbox called "highres. bothering problem with cuda out of memory? had crash? Clarification on it I never use hires. Pretty sure the answer is exactly what you fear. 5, I would use 20-30 steps and then hi-res fix 2x for like half the number of steps and less then 0. HiRes fix generates the lower resolution and then attempts to upscale it to the desired resolution. If the image generated is good enough, I then use just a 4x It depends on the goal but it can be useful to just start with a ton of low resolution images to find a nicely composed image first. 0 if the base resolution is not too high) because it allow you to use greater batch sizes, and has virtually no processing time cost. *you can turn on vae selection as a drop down by going into settings, user interface, and in the quick setting list bar, type in sd_vae, and use that after reloading. res. You dont select an upscaler by Here, from 0:16 seconds afterwards, you can see my generated image gets deformed or corrupted, and this happened multiple times. If you use automatic1111 with the 512 1. fix? Set 30 steps as well (or in A1111 it is 0 which means keep the same as base). 5) then it really has a tendency to clean up the eyes. I have enabled high res fix with strength of 0. The problem with high res fix is it's random luck what results you get. Update A1111 and the hires. i see many user dislike new version, but i think is because they put prompt and want same result as older version. I think as long as you're on latent, and use either upscale by x1. You can use any upscaler - the latent works slightly different to the others in that they do the upscale at a different point in the process resulting in a noisy upscale which when processed can add extra details. I'm new to stable diffusion and I've been playing around with settings on the web ui, and I don't know the best way to scale up the resolution of images I generate It is possible to apply high res fix or similar effect to an image with img2img? I dont want to just upscale, I want to apply the high res fix effect or similar, which changes some things but adds so much detail. Then click on option "just resize latent upscale". So you use a lot of time generating a high res image where you don't even know the outcome. (Actually the main reason I set all this up but i'm having too much fun right now just learning Stable Diffusion) Search for "Stable diffusion inpainting" or "stable diffusion img2img" or "automatic1111" instead of "stable diffusion. So especially if you are trying to capture the likeness of someone, I would lower Highres fix is "OKish" at trying to fix issues with cloning and dupes but it often fails. Hi-Res fix simply creates an image (via txt2img) at one resolution, upscales that image to another resolution, and then uses img2img to create a new image using the same prompt and seed, which should generate roughly the same image, at the new higher resolution. You need to ideally throw negative prompts at the situation to push the diffusion away from certain things Is it possible to dynamically adjust Inpainting conditioning mask strength when we know the current sampler, steps, CFG, denoising strength and image resolution? I believe it is very good for highres-fix: it fully prevents In my experience, I stopped using hires fix and generate a lower res picture and use the upscaler instead. But my friends asked me, That will prevent you from getting Nan errors and black images. Now I'm learning to use photon, but the recommended hires fix settings are 0. gingt bqju tpupr nizyraz dcnuqi tqaodxy msjjk wfbooi djo uqmw