Stable diffusion face refiner online reddit Most full names mean something very specific, and even partial names will have an influence. Inpainting. 0 & Refiner I used the refiner as a LoRa with 15 steps, CFG set to 8, euler, and 0. Adding the refiner makes results look much better but it destroys what LORAs add, so the person is not recognizable anymore. 0 and upscalers just made this using epicphotogast and the negative embedding EpicPhotoGasm-colorfulPhoto-neg and lora more_details with these settings: Prompt: a man looks close into the camera, detailed, detailed skin, mall in background, photo, epic, artistic, complex background, detailed, realistic <lora:more_details:1. If the problem still persists I will do the refiner-retraining. With 100 steps refiner the face of the man and the fur on the dog are smoother, but whether that is preferable for an oil painting is a matter of personal preference. I also used a latent upscale stage with 1. So prompting for "Kate Wilson" makes the model think it should be creating a specific person, and it is some culmination of all the Kate's and all the Wilson's that it knows. With the new images, which use an oil painting style, it is harder to say if any of the images is actually better. After some testing I think the degradation is more noticeable with concepts than styles. My workflow and visuals of this behaviour is in the attached image. 5 to 1. How can i "save" this face? Yep! I've tried and refiner degrades (or changes) the results. From L to R, this is SDXL Base -- SDXL + Refiner -- Dreamshaper -- Dreamshaper + SDXL Refiner I was surprised by how nicely the SDXL Refiner can work even with Dreamshaper as long as you keep the steps really low. In this post, you will learn how it works, how to use it, and some common use cases. Step one - Prompt: 80s early 90s aesthetic anime, closeup of the face of a beautiful woman exploding into magical plants and colors, living plants, moebius, highly detailed, sharp attention to detail, extremely detailed, dynamic composition, akira, ghost in the shell You don't actually need to use the refiner. 1. I can't figure out how to properly use refiner in inpainting workflow. 6 and Fig. /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. Refiner only helps under certain conditions. So, for example, it may not help much for anime style image. People don't understand how massive confirmation bias is in this arena. Hi guys, after a long night of trying hard with prompts and negative prompts and a swap through several models Stable Diffusion generated a face that matches perfectly for me. 9 and Stable Diffusion 1. Please keep posted images SFW. I've come across some comparisons regarding the use of SDXL with and without the refiner, which I believe contain certain inaccuracies. Hi everybody, I have generated this image with following parameters: horror-themed , eerie, unsettling, dark, spooky, suspenseful, grim, highly… So far, LoRA's only work for me if you run them on the base and not the refiner, the networks seems to have unique architectures that would require a LoRA trained just for the the refiner, I may be mistaken though, so take this with a grain of salt. Without refiner the results are noisy and faces glitchy. Given my limited knowledge and English proficiency, and with the help of ChatGPT, I would like to attempt to clarify a few points using the following workflow as a reference: Jul 22, 2023 · After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. Jul 13, 2023 · In Automatic1111 latest update 1. next version as it should have the newest diffusers and should be lora compatible for the first time. There isn't an official guide, but this is what I suspect. Inpainting and picking one out of dozens or hundreds is the only way that's been consistent for me, and you will get perfect hands that one out of a hundred results. 9(just search in youtube sdxl 0. I love how responsive PonyXL is to the prompt, but sometimes find the final result a bit lacking in detail or crispness. what model you are using for the refiner (hint, you don't HAVE to use stabilities refiner model, you can use any model that is the same family as the base generation model - so for example a SD1. 5 model as the "refiner"). Actually the normal XL BASE model is better than the refiner in some points (face for instance) but I think that the refiner can bring some interesting details Reply reply ScionoicS I haven’t not played with the refiner much with 1. . It saves you time and is great for quickly fixing common issues like garbled faces. From SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. Nothing at all will work consistently. With SDXL I often have most accurate results with ancestral samplers. 2 or less on "high-quality high resolution" images. 4 noise reduction. The Refiner is just a model, in fact you can use it as a stand alone model for resolutions between 512 and 768. 75 before the refiner ksampler. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. 9 that ran steps 1-13 on the base and 13-20 on the refiner, sure it increased detail and often realism in general, but the huge thing was what it did to faces/heads - that seemed a much larger jump than simply increasing detail. 9 workflow, the one that olivio sarikas video works just fine) just replace the models with 1. SD understands lots of names. Refiners should have at most half the steps that the generation has. Many other methods are claimed. Play around with different Samplers and different amount of base Steps (30, 60, 90, maybe even higher). 5 model as the refiner, but I'm running into VAE issues. 2 to 0. 5 model as your base model, and a second SD1. You can just use someone elses workflow of 0. 34 votes, 38 comments. E. 0 they (HiRes Fix & Refiner) have checkboxes now to turn it on/off ComfyUI Tutorial - How to Install ComfyUI on Windows, RunPod & Google Colab | Stable Diffusion SDXL 1. 5 and 2. Same with SDXL, you can use any two SDXL models as the base model and refiner pair. An style can be slightly changed in the refining step, but a concept that doesn't exist in the standard dataset is usually lost or turned into another thing (I. The base model is perfectly capable of generating an image on its own. 0, but with a comfy setup with 0. I could create a lot of pictures with different poses and outfits and the face stays the same (maybe 4-5 times it generated something different). 7. 13. true. 7> /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. We note that this step is optional, but improves sample quality for detailed backgrounds and human faces, as demonstrated in Fig. Welcome to the unofficial ComfyUI subreddit. 22 votes, 25 comments. Please share your tips, tricks, and workflows for using this software to create your AI art. A person face changes after I had the same idea of retraining it with the refiner model and then load the lora for the refiner model with the refiner-trained-lora. Seems that refiner doesn't work outside the mask, it's clearly visible when "return with leftover noise" flag is enabled - everything outside mask filled with noise and artifacts from base sampler. The refiner is a separate model specialized for denoising of 0. Try the SD. I will first try out the newest sd. I started using one like you suggest, using a workflow based on streamlit from Joe Penna that was 40 steps total, first 35 on the base, remaining noise to the refiner. I think the ideal workflow is a bit debateable. Also trying different settings for refiner I tested generating photography of persons with and without Lora. In my understanding, their implementation of the SDXL Refiner isn't exactly as recommended by Stability AI, but if you are happy using just the Base model (or you are happy with their approach to the Refiner), you can use it today to generate SDXL images. Next fork of A1111 WebUI, by Vladmandic. I'd love to run a 1.
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