Stable diffusion highres fix settings reddit And stick with 2x max for hires. . So as I suspected it turns out that Hi Res fix is using 2 step process where it renders a smaller image first than upscales and makes changes to that image so it is essentially img-2-img scaling to a higher resolution. But my friends asked me, why do you do it? High. on a 512x1024 image SD will commonly output 2 of your subject one in each of the 512x512 areas (since this is I just started using stable diffusion so my knowledge is limited. In fact HighRes fix is much like IMG2IMG, but it uses latent space data before it's converted into actual pixels, and as such often provide more accurate details. 5 denoise works very nice. fix does not need that many steps. Using the same settings and prompt as in step one, I checked the high-res fix option to double the resolution. Tick it, put in 512*512 resolution (or something close) on the sliders and select how much you want to upscale the image. Long story short, the appropriate denoising level depends on upscaling amount and subject matter. A lower resolution pic is generated, 384x512, for example, and then Hires Fix uses whatever upscaler and settings you've chosen to do the upscaling to 768x1024 (assuming you're doing 2x). This is because the image has more noise to resolve. If you are getting Nan errors, black screens, bad quality output, mutations, missing limbs, color issues artifacts, blurriness, pixelation with SDXL this is likely your problem. 🤓 You can select to simultaneously upscale if it's not selected already (and use the upscaler of your choice) in img2img from settings. Pretty sure the answer is exactly what you fear. Avoids artifacts with models only trained on smaller noise amounts like 512x512. Trying to understand when to use Highres fix and when to create image in 512 x 512 and use an upscaler like BSRGAN 4x or other multiple option available in extras tab in the UI. Low values lead to very few steps, and little change. fix". e. In a nutshell, Hires Fix is a specific case of upscaling- it's just automatic once you've chosen your parameters. You can manually override this by specifying the exact amount of steps for normal, then highres. Use it when generating, not for upscaling a final image. fix I usually go with DMP++2M Karras at 30 steps. 45 denoise and 10 steps. That;ll get you 1024 x 1024 -- you can englarge that more in Extras, later, if you like. So especially if you are trying to capture the likeness of someone, I would lower the Denoising in highres fix to around . You dont select an upscaler by Welcome to the unofficial ComfyUI subreddit. 5 to 1. 2. res. 3 (see step 3). You can skip this step if you have a lower-end graphics card and process it with Ultimate SD upscale instead with a denoising strength of ~0. I benchmarked times to render 1280x720 in the version before and after the January update and before the update it took ~30 seconds while now it takes ~3:30, and I have a 4090. 0. Hello guys! I recently downloaded such a wonderful thing as Stable diffusion. 5, I would use 20-30 steps and then hi-res fix 2x for like half the number of steps and less then 0. /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. This is incorrect. Found a pretty good way to get good pics without highres fix : you generate normal 512 img, send it to img2img. 20 steps, 1920x1080, default extension settings hires fix: 1m 02s. So what do I do when I use high. 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. for SD 1. I'm not loving the new hires fix. 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. 25, 1. 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. 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. Reply reply IMHO the best use case for Latent upscalers is in highres fix, with a reasonable upscale (1. For Stable Diffusion 1. One thing to explore is the steps in high. fix? Set 30 steps as well (or in A1111 it is 0 which means keep the same as base). It's a huge memory hog and takes CONSIDERABLY longer to render anything. images. There's a checkbox called "highres. Please keep posted images SFW. i. You need to ideally throw negative prompts at the situation to push the diffusion away from certain things that might cause issues. What highres fix does it first generates an image then latent upscales it like using img2img. If you do that and use the same settings you would use for highres (denoising value, new resolution, sampling method, steps, seed) you get the EXACT same result. After that repeat again. 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. Highres fix: generates at the base resolution > upscales to target resolution with an upscaler model (think waifu2x but much better) (or Latent upscale but that's not as fast to explain) > does img2img pass in the background > done. Simply put gets your main image then uses img2img at a higher res. Still, I'd like to hear what hires fix settings you guys use for reliable, realistic PcBuildHelp is a subreddit community meant to help any new Pc Builder as well as help anyone in troubleshooting their PC building related problems. Its when you use SD to natively create a high res image, this setting will PREVENT (mostly) the duplication effects you commonly see. All that being said, the real reason why HighRes fix is there is to circumvent the resolution limit of the models we are working with. High res fix is not upscaling. I made a detailed video about hires fix. 5 models, stick with 512 x512 or smaller for the initial generation. 5, sometimes 2. . Definitely much better images in every shape & fashion with exception to the expressions. I originally used Google Colab, but some days ago I decided to download… 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 generated and have it use the same prompt as I used to generate the original image (Get it from 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. Then click on option "just resize latent upscale". Adjust the widh and high to double dimension. Higher denoise value = more Highres fix steps. This may be because of the settings used in the extension (they are default), or my limited testing. Use the same seed as your base img. It makes the process more seamless though. Highres fix is "OKish" at trying to fix issues with cloning and dupes but it often fails. Since Highres fix is more time consuming operation and does generate different image than when you create a 512 x 512 image - at what point do you choose one over the Settings > Saving images/grids > Save a copy of image before applying highres fix But you're right that it's basically generating a lower res image, and then resizing it your desired res using img2img. If the image generated is good enough, I then use just a 4x upscaler on it so I can get a high quality 4k image. There is also a denoise option in highres fix, and during the upscale, it can significantly change the picture. 5 de-noising strength. 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. Hit generate. The next step was high-res fix. fix. 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. It, surprisingly, helps to fix highres. High-res fix. Now I'm learning to use photon, but the recommended hires fix settings are 0. fix option wasn't active). Please share your tips, tricks, and workflows for using this software to create your AI art. 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. ubti dah bvnnzyu qva kwgl ebzblp xdzwydd bbdx sbvmjb baeyppb