Stable diffusion face refiner online reddit

/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. i dont understand what you need. 01 ~ 1, each increase of 0. Misconfiguring nodes can lead to erroneous conclusions, and it's essential to understand the correct settings for a fair assessment. 5 and 2. Switch the timing point from 0. If you don't use hires. For example, if you wanted a great image of a person in a firefighter outfit, you could add a specific extra ‘embedding’ model trained on images of firefighter outfits. From L to R, this is SDXL Base -- SDXL + Refiner -- Dreamshaper -- Dreamshaper + SDXL Refiner. 5, we're starting small and I'll take you along the entire journey. 40 denoise using Zavy 's excellent ZavyChromaXL v7. 0 base model and HiresFix x2. The refiner was trained in tandem with the base, so it will not work without it. I've search but found nothing that seems to use Automatic1111. I fix all my hands in dalle-2. 2), (isometric 3d art of floating rock citadel:1), cobblestone, flowers, verdant, stone, moss, fish pool, (waterfall:1. 0 includes the following experimental functions: Free Lunch (v1 and v2) AI researchers have discovered an optimization for Stable Diffusion models that improves the quality of the generated images. 45 denoise it fails to actually refine it. These sample images were created locally using Automatic1111's web ui, but you can also achieve similar results by entering prompts one at a time into your distribution/website of choice. I had to use clip interrogator on Replicate because it gives me errors when using it locally. The main reason why I chose to do this is a selfish one. 5 of my wifes face works much better than the ones Ive made with sdxl so I enabled independent prompting(for highresfix and refiner) and use the 1. Use a value around 1. Tried a bunch of images, and none of them had the hands detected…. next version as it should have the newest diffusers and should be lora compatible for the first time. 0. 2), cottage. (as mentioned Used Automatic1111, SDXL 1. Edit: I realized that the workflow loads just fine, but the prompts are sometimes not as expected. 519K subscribers in the StableDiffusion Make sure you have: Settings -> Stable Diffusion -- > "Maximum number of checkpoints loaded at the same time" set to 2 so it wont unload and reload the model for each pass. On the other hand tin my experience the SD3 renders doesn't mix very well with refiners so what you obtain is almost a dead end. We'll see about the actual quality, flexibility, prompt adherence and optimization, if/when SD3 comes out fully. I haven't played with Dreambooth myself so just going by other people's experience. Technical details regarding Stable Diffusion samplers, confirmed by Katherine: - DDIM and PLMS are originally the Latent Diffusion repo DDIM was implemented by CompVis group and was default (slightly different update rule than the samplers below, eqn 15 in DDIM paper is the update rule vs solving eqn 14's ODE directly) /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. i came across the "Refiner extension" in the comments here described as "the correct way to use refiner with SDXL" but i am getting the exact same image between checking it on and off and generating the same image seed a few times as a test. Experimental Functions. It is suitably sized to become the next standard in text-to-image models. 0, VAE hash example of workflow: Prompt: full body photo of beautiful age 18 girl, elf ears, blonde hair, freckles, sexy, beautiful, BREAK hiding behind a tree in the forest /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. If you're using Automatic's GUI there should be an option for full res inpainting so you can mask off the face and generate a new one using a prompt referencing the face and it will generate the face at the full resolution of the image and then scale it down to fit the mask. I did run the prompts on the SD3 API again to make sure they haven't changed it, and the results were the same, so it's still good. I just released version 4. But stable diffusion is faster and I can load the workflow I like. 55 and go from there. This simple thing also made my that friend a fan of Stable Diffusion. I was surprised by how nicely the SDXL Refiner can work even with Dreamshaper as long as you keep the steps really low. I see a lot of people complaining about the new hires. The prompts: (simple background:1. Reply. If you use ComfyUI you can instead use the Ksampler Regarding the "switching" there's a problem right now with the 1. Generate your images through automatic1111 as always and then, go to the SDXL Demo extension tab, turn on 'Refine' checkbox and drag your image onto the square. 9 safetesnors file. I'm using the recommended settings; Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0. Not sure if it’s the quality of the image or something but the colors become horrible and the art style becomes much more stylized instead of realistic, even when I try higher resolution images. Basically a bunch of junk so that I can perfect the image. Create a Load Checkpoint node, in that node select the sd_xl_refiner_0. The dataset I linked above contains 5 billion images, it's called LAION-5B. But they have different CFG values (because of the lightning). If you install locally you can add in your own additions to the main model. Can take a while, on average I need two or the dalle2 inpainting prompts to get them fixed. AP Workflow v5. example of the basic model of photo-realistic style, the model used in the refiner is the anime style. Whenever you generate images that have a lot of detail and different topics in them, SD struggles to not mix those details into every "space" it's filling in running through the denoising step. Unrealistic body standards having a 24 pack. Install the SDXL auto1111 branch and get both models from stability ai (base and refiner). Anyway, while i was writing this post, there has been a new update and it now look like this : Here we go. 70 Prompt Comparison: SD3 API vs SD3 Medium. The negative prompt sounds like frustration to me. Here's how to get the benefits of Pony XL, without the drawbacks of art-style. I will see that when I click on the wrong model and used it instead of the base. Color problems when using face reference. AP Workflow 5. To get it back, go to settings --> user interface and add it back. 5 model. 7 and then close to the base model. Forcing Lora weights higher breaks the ability for generalising pose, costume, colors, settings etc. fix @Dr__Macabre. 0 Refine. There is no such thing as an SD 1. Edit: RTX 3080 10gb example with a shitty prompt just for demonstration purposes: Without --medvram-sdxl enabled, base SDXL + refiner took 5 mins 6. Hi. 9 vae in there. face recognition API. 1), crowded, alluring eyes, detailed skin, highly detailed, hyperdetailed, intricate, soft lighting, deep focus, photographed on a Canon 5D, 24mm macro lens, F/8 aperture, film still [after]{zoom_enhance mask="face" replacement /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. It is the delicate interplay of shadow and light. Can I use a different CFG value for the refiner in Comfy? I'm currently using Forge, should I switch to Comfy or StableSwarm? 2. [Cross-Post] I feel the original one is better, high denoise refiner destroys the lighting consistency, especially the hands become flat and even changed the skin color in the third image. But I'm not sure what I'm doing wrong, in the controlnet area I find the hand depth model and can use it, I would also like to use it in the adetailer (as described in Git) but can't find or select the depth model (control_v11f1p_sd15_depth) there. There is an SDXL 0. 85, although producing some weird paws on some of the steps. Question - Help. 5 for final detail refinement seems to give me the ultimate control. 6 or too many steps and it becomes a more fully SD1. Award. This accuracy allows much more to be done to get the perfect image directly from text, even before using the more advanced features or fine-tuning that Stable Diffusion is famous for. 9 workflow, the one that olivio sarikas video works just fine) just replace the models with 1. Stable Diffusion looks too complicated”. a close up of a woman with a butterfly on her head, a photorealistic painting, by Anna Dittmann Flexibility. Same with SDXL, you can use any two SDXL models as the base Hopefully Adetailer gets updated soon so you can choose the hands inpaint model instead of inpaint global harmonious. Automatic1111 can’t use the refiner correctly. 0 of my AP Workflow for ComfyUI. Here are the solutions: ***Basically, install the refiner extension (sd-webui-refiner). Step two - upscale: Change the model from the SDXL base to the refiner and process the raw picture in img2img using the Ultimate SD upscale extension with the following settings: (same prompt) Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 1799556987, Size: 2304x1792, Model hash: 7440042bbd, Model: sd_xl_refiner_1. You'll need two checkpoints "Real Pony" checkpoint (there are three, you want the one with the most upvotes on civit to start): this will be the primary checkpoint. Karras in general are superb at low step counts (though LMS Karras gets lots of artifacts at high step counts, so never do that). I'd like to share Fooocus-MRE (MoonRide Edition), my variant of the original Fooocus (developed by lllyasviel ), new UI for SDXL models. People using utilities like Textual Inversion and DreamBooth have been able to solve the problem in narrow use cases, but to the best of my knowledge there isn't yet a reliable solution to make on-model characters without just straight up hand-holding the AI. I've heard you get better results with full body shots if the source images used for the training were also full body shots, and also keeping the dimension to no more than 512X512 durign generation. No Automatic1111 or ComfyUI node as of yet. In my opinion the renders of pixart tend to be more interesting and beautiful than the SD3 renders, but they need a second pass with a refiner. Hires fix is still there, you just need to click to expand but face restore has indeed been removed from the main page. A person face changes after ADMIN MOD. Yes. When SD tries to generate an image that is too different in size and aspect ratio from what it is trained on, you end up getting elongated or multiple features such as two heads, two torsos, and 4 legs. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance. Try: rear view shot or just rear shot. 2) and used the following negative - Negative prompt: blurry, low quality, worst quality, low resolution, artifacts, oversaturated, text, watermark, logo, signature, out SDXL 1. If you've seen this post before, you know what to expect. 8. 3 - 1. 📷 All of the flexibility of Stable Diffusion: SDXL is primed for complex image design workflows that include generation for text or base image, inpainting . I also automated the split of the diffusion steps between the Base and the I thought my gaming would be at least a lot better than my 2070 super 8gb. I want to use Pony as a base model and Juggernaut Lightning as a refiner for more realistic images. These comparisons are useless without knowing your workflow. 5 secs More than 0. Comparison. Just like Juggernaut started with Stable Diffusion 1. It depends on: 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. No surprises, Medium is much worse. 74 votes, 16 comments. Ideally the refiner should be applied at the generation phase, not the upscaling phase. Key Takeaways. Thanks for this - newbs coming from A1111 can be overwhelmed by the ComfyUI when trying to locate nodes. 5 version, losing most of the XL elements. However, this also means that the beginning might be a bit rough ;) NSFW (Nude for example) is possible, but it's not yet recommended and can be prone to errors. The smaller size of this model makes it perfect for running on consumer PCs and laptops as well as enterprise-tier GPUs. Suppose we want a bar-scene from dungeons and dragons, we might prompt for something like. Steps: (some of the settings I used you can see in the slides) Generate first pass with txt2img The checkboxes (face fix, hires fix) disappeared. 0 and upscalers. So, I'm mostly getting really good results in automatic1111 Yes its human faces only, probably best prompting on your dogs photo using img2img or controlnet. 2. (viewed from behind:1. All dreambooth models require a special keyword to condition the image generation but the traditional fine tuning (continue training with a narrow dataset) doesn't. Ah also, death to the false emperor, blood for the blood god. Start with a denoise around . It is not a reasonable approximation, it is the actual data it was trained on. But if you use both together it will make very little differences. But it's reasonably clean to be used as a learning tool, which is and will It's amazing - I can get 1024x1024 SDXL images in ~40 seconds at 40 iterations euler A with base/refiner with the medvram-sdxl flag enabled now. I guess an important thing for the quality (when you mention without finetunes) is that this time, the base model is finetuned by Lykon, the number 1 model creator on civitai. Even the Comfy workflows aren’t necessarily ideal, but they’re at least closer. fix with SDXL is broken. 5 models and LoRA are so fine tuned that while SDXL gives me a much wider range of control, getting the 'perfect' finish seems to only be reliable with 2) Set Refiner Upscale Value and Denoise value. 3), detailed face, /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app So in order to get some answers I'm comparing SDXL1. 5 VAE) -> SD 1. Consistent character faces, designs, outfits, and the like are very difficult for Stable Diffusion, and those are open problems. 5 can be seen in the style of the obvious changes in 0. I downscale my SD pictures before using them in dalle-2, then do img2img again and work with cfg and init strength till they just retouch the dalle2 hands. For today's tutorial I will be using Stable Diffusion XL (SDXL) with the 0. A TON of budget of commercial shoots is location-based. 9 vae, along with the refiner model. Normal Hires. Can someone guide me to the best all-in-one workflow that includes base model, refiner model, hi-res fix, and one LORA. 0 Base, moved it to img2img, removed the LORA and changed the checkpoint to SDXL 1. fix. 5 denoise with SD1. It'll be at the top though, not where it used to be. 1. It's called Family pack, get with the times old man! Dude is corn. Use 0. In this post, you will learn how it works, how to use it, and some common use cases. We all know SD web UI and ComfyUI - those are great tools for people who want to make a deep dive into details, customize workflows, use advanced extensions, and so on. All prompts share the same seed. I've found very good results doing 15-20 steps with SDXL which produces a somewhat rough image, then 20 steps at 0. Refiner extension not doing anything. SD 1. choose two different styles of models, one as a base, one as a refinement of the model. Below 0. 9 (just search in youtube sdxl 0. 5 refiner node. In summary, it's crucial to make valid comparisons when evaluating the SDXL with and without the refiner. realvisXL is great and currently probably better than Juggernaut however it is not a Pony model so it can't do what Pony can (but can do a few things that Pony struggles with, like working with controlnet). and have to close terminal and restart a1111 again to clear that OOM effect. First get a photo of the head in the same direction as the result in mind. Not too sure how exactly to do all this others that are up to date will know better. 5 in A1111, but now with SDXL in Comfy I'm struggling to get good results by simply sending an upscaled output to a new pair of base+refiner samplers Code Posted for Hand Refiner. The control Net Softedge is used to preserve the elements and shape, you can also use Lineart) 3) Setup Animate Diff Refiner Hey, a lot of thanks for this! I had a pretty good face upscaling routine going for 1. It's often not required. Structured Stable Diffusion courses. 3~0. So they put some stuff with the . Then I do multiple img2img passes with a higher resolution, more VATSIM (Virtual Air Traffic Simulation Network) is the go-to online flight simulation network, where virtual pilots can connect their flight simulators to a shared network and enjoy realistic communication and procedures by VATSIM's trained virtual Air Traffic Controllers. Is there currently a way to adapt a ComfyUI workflow to avoid the refiner touching any human faces? It's removing details that I want kept there: it makes all faces smooth, de-ages them (I don't want that!) and evens them out, which deletes all of the characters' personalities, age, and uniqueness as a result. Opening the image in stable-diffusion-webui's PNG-info I can see that there are indeed two different sets of prompts in that file and for some reason the wrong one is being chosen. I created this comfyUI workflow to use the new SDXL Refiner with old models: json here. E. It can do this because it was trained on a lot of images paired with their text captioning with various amount of noise added to the image. Trained information is represented in an alternate form (using CLIP for text and VAE for image embeddings). i tried "camera from behind" or "camera shot from behind", i cant really think of other prompts to use, but iv only been able to get like 1 out of 20 images to be from behind with this. If you have powerful GPU and 32GB of RAM, plenty of disc space - install ComfyUI - snag the workflow - just an image that looks like this one that was made with Comfy - drop it in the UI - and write your prompt - but the setup is a bit involved - and things don't always go smoothly - you will need the toon model as well - Civitai/HuggingFace I can't get Outpainting to work in Stable Diffusion. Uncharacteristically, it's not as tidy as I'd like, mainly due to a challenge I have with passing the checkpoint/model name through reroute nodes. The refiner should definitely NOT be used as the starting point model for text2img. 5 model as your base model, and a second SD1. So the website shows all the images SD was trained on and more. This is not my code, I'm simply posting it. 0. In any case, we could compare the picture obtained with the correct workflow and the refiner. 7 in the Denoise for Best results. At that moment, I was able to just download a zip, type something in webui, and then click generate. Stable Diffusion is trained on a subset of those images, around 600 million of those, supposedly. Inpainting is almost always needed to fix the face consistency. Stable Diffusion 3 Medium is Stability AI’s most advanced text-to-image open model yet, comprising two billion parameters. LewdGarlic. The model doesn’t seem to work for anime images…. After an entire weekend reviewing the material, I think (I hope!) I got the implementation right: As the title says, I included ControlNet XL OpenPose and FaceDefiner models. As you can see the difference is an improvement but the image retains nearly everything. img2img API with inpainting. I've tried this article, but the result does not give me what I wanted. Second, you'll need the photo style SDXL checkpoint of your preference. Legal and PR issues. They also have an SDXL Lora that kinda adds some contrast. F222 is a traditional fine tuned model that does not require a special keyword. 0 model. Medium is using the base workflow on the huggingface Using Refiner -> Base or just CrystalClearXL or other model from the start -> VAEDecode->VAEEncode (SD 1. It will just produce distorted, incoherent images. Workflow Overview: txt2Img API. And the SDE++ 2M versions are also fast per step. DreamshaperXL is really new so this is just for fun. It's not, it's just barely better. This one feels like it starts to have problems before the effect can Is there an explanation for how to use the refiner in ComfyUI? You can just use someone elses workflow of 0. Note: I used a 4x upscaling model which produces a 2048x2048, using a 2x model should get better times, probably with the same effect. This simple thing made me a fan of Stable Diffusion. I just started learning about Stable Diffusion recently, I downloaded the safe-tensors directly from huggingface for Base and Refiner model, I found…. Use SDXL Refiner with old models. For prompt use something like face, eye color, hair color, hair style, expression. 5 model in highresfix with denoise set in the . I am going to experiment a bit more but if it doesn't work out, I may just use Pixart for the global compositional coherence latent base for SDXL and SD 1. Technically dreambooth is a also a fine tuning technique. Every time I use a face reference for my stable diffusion model I get really weird artifacts. 5. 7 in the Refiner Upscale to give a little room in the image to add details. We need laws that mark images like this as AI generated so we don't get low self-esteem. 3) Jul 22, 2023 · After Detailer (adetailer) is a Stable Diffusion Automatic11111 web-UI extension that automates inpainting and more. After some testing I think the degradation is more noticeable with concepts than styles. SD is a big thing with a lot going on, don't be afraid The truth about hires. I have been using automatic1111, don't know much about comfyui. 30ish range and it fits her face lora to the image without Very nice. It works to a degree but maybe not enough. For now, I have to manually copy the right prompts. You can inpaint with SDXL like you can with any model. It is the curve of rolling hills. The first is PixArt Sigma with no refinement and the second is after a . Then play with the refiner steps and strength (30/50 Activate the Face Swapper via the auxiliary switch in the Functions section of the workflow. Do not use the high res fix section (can select none, 0 steps in the high res section), go to the refiner section instead that will be new with all your other extensions (like control net or whatever other extensions you Using refiner with different settings. , that is more conspicuous than the number of fingers RTX 3060 12GB VRAM, and 32GB system RAM here. 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. What they have is a marketable product. It adds detail and cleans up artifacts. Code for automatically detecting and correcting hands in Stable Diffusion using models of hands, ControlNet, and inpainting. If you aren't using that GUI, the best option is to bring it into GIMP Fooocus-MRE v2. Basically it just creates a 512x512 as usual, then upscales it, then feeds it to the refiner. Last, I also performed the same test with a resize by scale of 2: SDXL vs SDXL Refiner - 2x Img2Img Denoising Plot. 0 for ComfyUI - Now with Face Swapper, Prompt Enricher (via OpenAI), Image2Image (single images and batches), FreeU v2, XY Plot, ControlNet and ControlLoRAs, SDXL Base + Refiner, Hand Detailer, Face Detailer, Upscalers, ReVision, etc. Yep! I've tried and refiner degrades (or changes) the results. Im using automatic1111 and I run the initial prompt with sdxl but the lora I made with sd1. It saves you time and is great for quickly fixing common issues like garbled faces. 9 refiner node. Describe the character and add to the end of the prompt: illustration by (Studio ghibli style, Art by Hayao Miyazaki:1. The title tells everything. The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0. 5 model as the "refiner"). Thanks tons! Accidentally used the refiner model to generate images. The vae that was originally baked into SDXL created visual artifacts when it tried to do its "invisible watermarking". It detects hands greater than 60x60 pixels in a 512x512 image, fits a mesh model and then generates SDXL vs SDXL Refiner - Img2Img Denoising Plot. This brings back memories of the first time that I use Stable Diffusion myself. 5 LCM refiner sampler pass. Interesting, gonna try this tomorrow. As per the SD super stage event, the refiner is an optional second pass that can improve some generations. 78. You just can't change the conditioning mask strength like you can with a proper inpainting model, but most people don't even know what that is. It'll be perfect if it includes upscale too (though I can upscale it in an extra step in the extras tap of automatic1111). 0-RC. This seemed to add more detail all the way up to 0. Then install the SDXL Demo extension . Use img2img to refine details. ComfyUI with SDXL (Base+Refiner) + ControlNet XL OpenPose + FaceDefiner (2x) ComfyUI is hard. I'll then be wondering why the image was so bad 😂. 1 sdxl model and 1 sd1. Thanks. This series of images is made to see if the color depth in SD3 can be translated in the process of refiner pass. 6. Simply ran the prompt in txt2img with SDXL 1. I also automated the split of the diffusion steps between the Base and the 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. Looking for a tutorial to train your own face using Automatic1111. I was really like stable Cascade mixed with a 1. fix while using the refiner you will see a huge difference. text_l & refiner: "(pale skin:1. Setup. Like there's Embeddings, which there are quite a few Me too! realvisXL is awesome at photorealism. Imagine if you can do your model photoshoot with your new watch, skin care product, or line of overprice handbags in a studio, and seamlessly put the model in the streets of Milan, on the beaches of the Maldives, or wherever else instagram and tiktok says your target demo wants UNet does precisely this, working on different levels of detail as it downscales and upscales. The soft inpainting feature is also handy, it tends to blend the seams very well on the inpainted area. that extension really helps. They mostly use python to train Stable Diffusion. I will first try out the newest sd. Stable Diffusion creates images out of pure noise. 0 and some of the current available custom models on civitai with and without the refiner. but if I run Base model (creating some images with it) without activating that extension or simply forgot to select the Refiner model, and LATER activating it, it gets OOM (out of memory) very much likely when generating images. Kohya Deepshrink is based on Scalecrafter research. First of all, sorry if this doesn't make sense, i'm french so english isn't my native language and i'm self-taught when it comes to english. 509K subscribers in the StableDiffusion ComfyUI with SDXL (Base+Refiner) + ControlNet XL OpenPose + FaceDefiner (2x) ComfyUI is hard. I know there is the ComfyAnonymous workflow but it's lacking. 9 and Stable Diffusion 1. I have tried uninstalling stable diffusion (deleting Taking a good image with a poor face, then cropping into the face at an enlarged resolution of it's own, generating a new face with more detail then using an image editor to layer the new face on the old photo and using img2img again to combine them is a very common and powerful practice. 0 Base vs Base+refiner comparison using different Samplers. In my experience, LMS has similar quality to 2M (both Karras and non, compared to their 2M versions), but LMS samplers are more artifact-prone, esp. Reply reply [deleted] High detail RAW color Photo of a strong man, hands in the face, urban city in the background, (full body view:1. 4 - 0. pony is anime and 2d model. 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. SDXL vs DreamshaperXL Alpha, +/- Refiner. Here is an example of two images. If the problem still persists I will do the refiner-retraining. hl pv zw ys eu tu yv gz id yp